Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]Code Context
trigger_error($message, E_USER_DEPRECATED);
}
$message = 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.' $stackFrame = (int) 1 $trace = [ (int) 0 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ServerRequest.php', 'line' => (int) 2421, 'function' => 'deprecationWarning', 'args' => [ (int) 0 => 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead.' ] ], (int) 1 => [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 73, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) {}, 'type' => '->', 'args' => [ (int) 0 => 'catslug' ] ], (int) 2 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Controller/Controller.php', 'line' => (int) 610, 'function' => 'printArticle', 'class' => 'App\Controller\ArtileDetailController', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 3 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 120, 'function' => 'invokeAction', 'class' => 'Cake\Controller\Controller', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 4 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 94, 'function' => '_invoke', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(App\Controller\ArtileDetailController) {} ] ], (int) 5 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/BaseApplication.php', 'line' => (int) 235, 'function' => 'dispatch', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 6 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Http\BaseApplication', 'object' => object(App\Application) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 7 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/RoutingMiddleware.php', 'line' => (int) 162, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 8 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\RoutingMiddleware', 'object' => object(Cake\Routing\Middleware\RoutingMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 9 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/AssetMiddleware.php', 'line' => (int) 88, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 10 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\AssetMiddleware', 'object' => object(Cake\Routing\Middleware\AssetMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 11 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Middleware/ErrorHandlerMiddleware.php', 'line' => (int) 96, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 12 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Error\Middleware\ErrorHandlerMiddleware', 'object' => object(Cake\Error\Middleware\ErrorHandlerMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 13 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 51, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 14 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Server.php', 'line' => (int) 98, 'function' => 'run', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\MiddlewareQueue) {}, (int) 1 => object(Cake\Http\ServerRequest) {}, (int) 2 => object(Cake\Http\Response) {} ] ], (int) 15 => [ 'file' => '/home/brlfuser/public_html/webroot/index.php', 'line' => (int) 39, 'function' => 'run', 'class' => 'Cake\Http\Server', 'object' => object(Cake\Http\Server) {}, 'type' => '->', 'args' => [] ] ] $frame = [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 73, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) { trustProxy => false [protected] params => [ [maximum depth reached] ] [protected] data => [[maximum depth reached]] [protected] query => [[maximum depth reached]] [protected] cookies => [ [maximum depth reached] ] [protected] _environment => [ [maximum depth reached] ] [protected] url => 'latest-news-updates/the-myth-of-15-million-jobs-mahesh-vyas-4684510/print' [protected] base => '' [protected] webroot => '/' [protected] here => '/latest-news-updates/the-myth-of-15-million-jobs-mahesh-vyas-4684510/print' [protected] trustedProxies => [[maximum depth reached]] [protected] _input => null [protected] _detectors => [ [maximum depth reached] ] [protected] _detectorCache => [ [maximum depth reached] ] [protected] stream => object(Zend\Diactoros\PhpInputStream) {} [protected] uri => object(Zend\Diactoros\Uri) {} [protected] session => object(Cake\Http\Session) {} [protected] attributes => [[maximum depth reached]] [protected] emulatedAttributes => [ [maximum depth reached] ] [protected] uploadedFiles => [[maximum depth reached]] [protected] protocol => null [protected] requestTarget => null [private] deprecatedProperties => [ [maximum depth reached] ] }, 'type' => '->', 'args' => [ (int) 0 => 'catslug' ] ]deprecationWarning - CORE/src/Core/functions.php, line 311 Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421 App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 73 Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51 Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98
Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]Code Context
trigger_error($message, E_USER_DEPRECATED);
}
$message = 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.' $stackFrame = (int) 1 $trace = [ (int) 0 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ServerRequest.php', 'line' => (int) 2421, 'function' => 'deprecationWarning', 'args' => [ (int) 0 => 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead.' ] ], (int) 1 => [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 74, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) {}, 'type' => '->', 'args' => [ (int) 0 => 'artileslug' ] ], (int) 2 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Controller/Controller.php', 'line' => (int) 610, 'function' => 'printArticle', 'class' => 'App\Controller\ArtileDetailController', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 3 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 120, 'function' => 'invokeAction', 'class' => 'Cake\Controller\Controller', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 4 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 94, 'function' => '_invoke', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(App\Controller\ArtileDetailController) {} ] ], (int) 5 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/BaseApplication.php', 'line' => (int) 235, 'function' => 'dispatch', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 6 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Http\BaseApplication', 'object' => object(App\Application) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 7 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/RoutingMiddleware.php', 'line' => (int) 162, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 8 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\RoutingMiddleware', 'object' => object(Cake\Routing\Middleware\RoutingMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 9 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/AssetMiddleware.php', 'line' => (int) 88, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 10 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\AssetMiddleware', 'object' => object(Cake\Routing\Middleware\AssetMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 11 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Middleware/ErrorHandlerMiddleware.php', 'line' => (int) 96, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 12 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Error\Middleware\ErrorHandlerMiddleware', 'object' => object(Cake\Error\Middleware\ErrorHandlerMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 13 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 51, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 14 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Server.php', 'line' => (int) 98, 'function' => 'run', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\MiddlewareQueue) {}, (int) 1 => object(Cake\Http\ServerRequest) {}, (int) 2 => object(Cake\Http\Response) {} ] ], (int) 15 => [ 'file' => '/home/brlfuser/public_html/webroot/index.php', 'line' => (int) 39, 'function' => 'run', 'class' => 'Cake\Http\Server', 'object' => object(Cake\Http\Server) {}, 'type' => '->', 'args' => [] ] ] $frame = [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 74, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) { trustProxy => false [protected] params => [ [maximum depth reached] ] [protected] data => [[maximum depth reached]] [protected] query => [[maximum depth reached]] [protected] cookies => [ [maximum depth reached] ] [protected] _environment => [ [maximum depth reached] ] [protected] url => 'latest-news-updates/the-myth-of-15-million-jobs-mahesh-vyas-4684510/print' [protected] base => '' [protected] webroot => '/' [protected] here => '/latest-news-updates/the-myth-of-15-million-jobs-mahesh-vyas-4684510/print' [protected] trustedProxies => [[maximum depth reached]] [protected] _input => null [protected] _detectors => [ [maximum depth reached] ] [protected] _detectorCache => [ [maximum depth reached] ] [protected] stream => object(Zend\Diactoros\PhpInputStream) {} [protected] uri => object(Zend\Diactoros\Uri) {} [protected] session => object(Cake\Http\Session) {} [protected] attributes => [[maximum depth reached]] [protected] emulatedAttributes => [ [maximum depth reached] ] [protected] uploadedFiles => [[maximum depth reached]] [protected] protocol => null [protected] requestTarget => null [private] deprecatedProperties => [ [maximum depth reached] ] }, 'type' => '->', 'args' => [ (int) 0 => 'artileslug' ] ]deprecationWarning - CORE/src/Core/functions.php, line 311 Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421 App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 74 Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51 Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98
Warning (512): Unable to emit headers. Headers sent in file=/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php line=853 [CORE/src/Http/ResponseEmitter.php, line 48]Code Contextif (Configure::read('debug')) {
trigger_error($message, E_USER_WARNING);
} else {
$response = object(Cake\Http\Response) { 'status' => (int) 200, 'contentType' => 'text/html', 'headers' => [ 'Content-Type' => [ [maximum depth reached] ] ], 'file' => null, 'fileRange' => [], 'cookies' => object(Cake\Http\Cookie\CookieCollection) {}, 'cacheDirectives' => [], 'body' => '<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <link rel="canonical" href="https://im4change.in/<pre class="cake-error"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr6804f5a37af30-trace').style.display = (document.getElementById('cakeErr6804f5a37af30-trace').style.display == 'none' ? '' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr6804f5a37af30-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr6804f5a37af30-code').style.display = (document.getElementById('cakeErr6804f5a37af30-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr6804f5a37af30-context').style.display = (document.getElementById('cakeErr6804f5a37af30-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr6804f5a37af30-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700"><</span><span style="color: #0000BB">head</span><span style="color: #007700">> </span></span></code> <span class="code-highlight"><code><span style="color: #000000"> <link rel="canonical" href="<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">); </span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">category</span><span style="color: #007700">-></span><span style="color: #0000BB">slug</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>/<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">seo_url</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>.html"/> </span></code></span> <code><span style="color: #000000"><span style="color: #0000BB"> </span><span style="color: #007700"><</span><span style="color: #0000BB">meta http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type" </span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html; charset=utf-8"</span><span style="color: #007700">/> </span></span></code></pre><pre id="cakeErr6804f5a37af30-context" class="cake-context" style="display: none;">$viewFile = '/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp' $dataForView = [ 'article_current' => object(App\Model\Entity\Article) { 'id' => (int) 36398, 'title' => 'The myth of 15 million jobs -Mahesh Vyas', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express<br /> <br /> <em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /> </em><br /> Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /> <br /> Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /> <br /> Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /> <br /> I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /> <br /> CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /> <br /> Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /> <br /> Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Indian Express, 1 May, 2018, http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'the-myth-of-15-million-jobs-mahesh-vyas-4684510', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4684510, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 36398, 'metaTitle' => 'LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas', 'metaKeywords' => 'Centre for Monitoring Indian Economy (CMIE),Job Creation,job loss,jobless growth,joblessness,Employees' Provident Fund Organisation (EPFO),Employment,employment data', 'metaDesc' => ' -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust...', 'disp' => '<div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /><br />I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 36398, 'title' => 'The myth of 15 million jobs -Mahesh Vyas', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express<br /> <br /> <em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /> </em><br /> Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /> <br /> Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /> <br /> Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /> <br /> I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /> <br /> CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /> <br /> Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /> <br /> Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Indian Express, 1 May, 2018, http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'the-myth-of-15-million-jobs-mahesh-vyas-4684510', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4684510, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ (int) 0 => object(Cake\ORM\Entity) {}, (int) 1 => object(Cake\ORM\Entity) {}, (int) 2 => object(Cake\ORM\Entity) {}, (int) 3 => object(Cake\ORM\Entity) {}, (int) 4 => object(Cake\ORM\Entity) {}, (int) 5 => object(Cake\ORM\Entity) {}, (int) 6 => object(Cake\ORM\Entity) {}, (int) 7 => object(Cake\ORM\Entity) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 36398 $metaTitle = 'LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas' $metaKeywords = 'Centre for Monitoring Indian Economy (CMIE),Job Creation,job loss,jobless growth,joblessness,Employees' Provident Fund Organisation (EPFO),Employment,employment data' $metaDesc = ' -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust...' $disp = '<div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /><br />I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8 Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413 Cake\View\View::_render() - CORE/src/View/View.php, line 1374 Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927 Cake\View\View::render() - CORE/src/View/View.php, line 885 Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/the-myth-of-15-million-jobs-mahesh-vyas-4684510.html"/> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css" media="all"/> <title>LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas | Im4change.org</title> <meta name="description" content=" -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust..."/> <script src="https://im4change.in/js/jquery-1.10.2.js"></script> <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script> <script language="javascript" type="text/javascript"> $(document).ready(function () { var img = $("img")[0]; // Get my img elem var pic_real_width, pic_real_height; $("<img/>") // Make in memory copy of image to avoid css issues .attr("src", $(img).attr("src")) .load(function () { pic_real_width = this.width; // Note: $(this).width() will not pic_real_height = this.height; // work for in memory images. }); }); </script> <style type="text/css"> @media screen { div.divFooter { display: block; } } @media print { .printbutton { display: none !important; } } </style> </head> <body> <table cellpadding="0" cellspacing="0" border="0" width="98%" align="center"> <tr> <td class="top_bg"> <div class="divFooter"> <img src="https://im4change.in/images/logo1.jpg" height="59" border="0" alt="Resource centre on India's rural distress" style="padding-top:14px;"/> </div> </td> </tr> <tr> <td id="topspace"> </td> </tr> <tr id="topspace"> <td> </td> </tr> <tr> <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> <tr> <td width="100%"> <h1 class="news_headlines" style="font-style:normal"> <strong>The myth of 15 million jobs -Mahesh Vyas</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust job growth, not fake news,’ IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data — apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups — 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups — 15-24 and 25-64 years. The stated reason for this division is because, “when you have increased enrolment in education … employment (and labour force) definition should include the fact that you are attending school or college’’.<br /><br />I don’t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its “Statistical Profile”, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div> </font> </td> </tr> <tr> <td> </td> </tr> <tr> <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> </table></body> </html>' } $maxBufferLength = (int) 8192 $file = '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php' $line = (int) 853 $message = 'Unable to emit headers. Headers sent in file=/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php line=853'Cake\Http\ResponseEmitter::emit() - CORE/src/Http/ResponseEmitter.php, line 48 Cake\Http\Server::emit() - CORE/src/Http/Server.php, line 141 [main] - ROOT/webroot/index.php, line 39
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'' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr6804f5a37af30-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr6804f5a37af30-code').style.display = (document.getElementById('cakeErr6804f5a37af30-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr6804f5a37af30-context').style.display = (document.getElementById('cakeErr6804f5a37af30-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr6804f5a37af30-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700"><</span><span style="color: #0000BB">head</span><span style="color: #007700">> </span></span></code> <span class="code-highlight"><code><span style="color: #000000"> <link rel="canonical" href="<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">); </span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">category</span><span style="color: #007700">-></span><span style="color: #0000BB">slug</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>/<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">seo_url</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>.html"/> </span></code></span> <code><span style="color: #000000"><span style="color: #0000BB"> </span><span style="color: #007700"><</span><span style="color: #0000BB">meta http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type" </span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html; charset=utf-8"</span><span style="color: #007700">/> </span></span></code></pre><pre id="cakeErr6804f5a37af30-context" class="cake-context" style="display: none;">$viewFile = '/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp' $dataForView = [ 'article_current' => object(App\Model\Entity\Article) { 'id' => (int) 36398, 'title' => 'The myth of 15 million jobs -Mahesh Vyas', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express<br /> <br /> <em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /> </em><br /> Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /> <br /> Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /> <br /> Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /> <br /> I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /> <br /> CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /> <br /> Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /> <br /> Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Indian Express, 1 May, 2018, http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'the-myth-of-15-million-jobs-mahesh-vyas-4684510', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4684510, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 36398, 'metaTitle' => 'LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas', 'metaKeywords' => 'Centre for Monitoring Indian Economy (CMIE),Job Creation,job loss,jobless growth,joblessness,Employees' Provident Fund Organisation (EPFO),Employment,employment data', 'metaDesc' => ' -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust...', 'disp' => '<div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /><br />I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 36398, 'title' => 'The myth of 15 million jobs -Mahesh Vyas', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express<br /> <br /> <em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /> </em><br /> Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /> <br /> Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /> <br /> Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /> <br /> I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /> <br /> CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /> <br /> Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /> <br /> Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Indian Express, 1 May, 2018, http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'the-myth-of-15-million-jobs-mahesh-vyas-4684510', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4684510, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ (int) 0 => object(Cake\ORM\Entity) {}, (int) 1 => object(Cake\ORM\Entity) {}, (int) 2 => object(Cake\ORM\Entity) {}, (int) 3 => object(Cake\ORM\Entity) {}, (int) 4 => object(Cake\ORM\Entity) {}, (int) 5 => object(Cake\ORM\Entity) {}, (int) 6 => object(Cake\ORM\Entity) {}, (int) 7 => object(Cake\ORM\Entity) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 36398 $metaTitle = 'LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas' $metaKeywords = 'Centre for Monitoring Indian Economy (CMIE),Job Creation,job loss,jobless growth,joblessness,Employees' Provident Fund Organisation (EPFO),Employment,employment data' $metaDesc = ' -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust...' $disp = '<div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /><br />I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8 Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413 Cake\View\View::_render() - CORE/src/View/View.php, line 1374 Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927 Cake\View\View::render() - CORE/src/View/View.php, line 885 Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/the-myth-of-15-million-jobs-mahesh-vyas-4684510.html"/> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css" media="all"/> <title>LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas | Im4change.org</title> <meta name="description" content=" -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust..."/> <script src="https://im4change.in/js/jquery-1.10.2.js"></script> <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script> <script language="javascript" type="text/javascript"> $(document).ready(function () { var img = $("img")[0]; // Get my img elem var pic_real_width, pic_real_height; $("<img/>") // Make in memory copy of image to avoid css issues .attr("src", $(img).attr("src")) .load(function () { pic_real_width = this.width; // Note: $(this).width() will not pic_real_height = this.height; // work for in memory images. }); }); </script> <style type="text/css"> @media screen { div.divFooter { display: block; } } @media print { .printbutton { display: none !important; } } </style> </head> <body> <table cellpadding="0" cellspacing="0" border="0" width="98%" align="center"> <tr> <td class="top_bg"> <div class="divFooter"> <img src="https://im4change.in/images/logo1.jpg" height="59" border="0" alt="Resource centre on India's rural distress" style="padding-top:14px;"/> </div> </td> </tr> <tr> <td id="topspace"> </td> </tr> <tr id="topspace"> <td> </td> </tr> <tr> <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> <tr> <td width="100%"> <h1 class="news_headlines" style="font-style:normal"> <strong>The myth of 15 million jobs -Mahesh Vyas</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust job growth, not fake news,’ IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data — apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups — 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups — 15-24 and 25-64 years. The stated reason for this division is because, “when you have increased enrolment in education … employment (and labour force) definition should include the fact that you are attending school or college’’.<br /><br />I don’t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its “Statistical Profile”, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div> </font> </td> </tr> <tr> <td> </td> </tr> <tr> <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> </table></body> </html>' } $reasonPhrase = 'OK'header - [internal], line ?? Cake\Http\ResponseEmitter::emitStatusLine() - CORE/src/Http/ResponseEmitter.php, line 148 Cake\Http\ResponseEmitter::emit() - CORE/src/Http/ResponseEmitter.php, line 54 Cake\Http\Server::emit() - CORE/src/Http/Server.php, line 141 [main] - ROOT/webroot/index.php, line 39
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'' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr6804f5a37af30-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr6804f5a37af30-code').style.display = (document.getElementById('cakeErr6804f5a37af30-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr6804f5a37af30-context').style.display = (document.getElementById('cakeErr6804f5a37af30-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr6804f5a37af30-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700"><</span><span style="color: #0000BB">head</span><span style="color: #007700">> </span></span></code> <span class="code-highlight"><code><span style="color: #000000"> <link rel="canonical" href="<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">); </span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">category</span><span style="color: #007700">-></span><span style="color: #0000BB">slug</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>/<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">seo_url</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>.html"/> </span></code></span> <code><span style="color: #000000"><span style="color: #0000BB"> </span><span style="color: #007700"><</span><span style="color: #0000BB">meta http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type" </span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html; charset=utf-8"</span><span style="color: #007700">/> </span></span></code></pre><pre id="cakeErr6804f5a37af30-context" class="cake-context" style="display: none;">$viewFile = '/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp' $dataForView = [ 'article_current' => object(App\Model\Entity\Article) { 'id' => (int) 36398, 'title' => 'The myth of 15 million jobs -Mahesh Vyas', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express<br /> <br /> <em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /> </em><br /> Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /> <br /> Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /> <br /> Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /> <br /> I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /> <br /> CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /> <br /> Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /> <br /> Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Indian Express, 1 May, 2018, http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'the-myth-of-15-million-jobs-mahesh-vyas-4684510', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4684510, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 36398, 'metaTitle' => 'LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas', 'metaKeywords' => 'Centre for Monitoring Indian Economy (CMIE),Job Creation,job loss,jobless growth,joblessness,Employees' Provident Fund Organisation (EPFO),Employment,employment data', 'metaDesc' => ' -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust...', 'disp' => '<div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /><br />I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 36398, 'title' => 'The myth of 15 million jobs -Mahesh Vyas', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express<br /> <br /> <em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /> </em><br /> Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /> <br /> Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /> <br /> Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /> <br /> I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /> <br /> CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /> <br /> Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /> <br /> Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Indian Express, 1 May, 2018, http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'the-myth-of-15-million-jobs-mahesh-vyas-4684510', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4684510, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ (int) 0 => object(Cake\ORM\Entity) {}, (int) 1 => object(Cake\ORM\Entity) {}, (int) 2 => object(Cake\ORM\Entity) {}, (int) 3 => object(Cake\ORM\Entity) {}, (int) 4 => object(Cake\ORM\Entity) {}, (int) 5 => object(Cake\ORM\Entity) {}, (int) 6 => object(Cake\ORM\Entity) {}, (int) 7 => object(Cake\ORM\Entity) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 36398 $metaTitle = 'LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas' $metaKeywords = 'Centre for Monitoring Indian Economy (CMIE),Job Creation,job loss,jobless growth,joblessness,Employees' Provident Fund Organisation (EPFO),Employment,employment data' $metaDesc = ' -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust...' $disp = '<div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (&lsquo;Robust job growth, not fake news,&rsquo; IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data &mdash; apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups &mdash; 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups &mdash; 15-24 and 25-64 years. The stated reason for this division is because, &ldquo;when you have increased enrolment in education &hellip; employment (and labour force) definition should include the fact that you are attending school or college&rsquo;&rsquo;.<br /><br />I don&rsquo;t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its &ldquo;Statistical Profile&rdquo;, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8 Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413 Cake\View\View::_render() - CORE/src/View/View.php, line 1374 Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927 Cake\View\View::render() - CORE/src/View/View.php, line 885 Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/the-myth-of-15-million-jobs-mahesh-vyas-4684510.html"/> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css" media="all"/> <title>LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas | Im4change.org</title> <meta name="description" content=" -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust..."/> <script src="https://im4change.in/js/jquery-1.10.2.js"></script> <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script> <script language="javascript" type="text/javascript"> $(document).ready(function () { var img = $("img")[0]; // Get my img elem var pic_real_width, pic_real_height; $("<img/>") // Make in memory copy of image to avoid css issues .attr("src", $(img).attr("src")) .load(function () { pic_real_width = this.width; // Note: $(this).width() will not pic_real_height = this.height; // work for in memory images. }); }); </script> <style type="text/css"> @media screen { div.divFooter { display: block; } } @media print { .printbutton { display: none !important; } } </style> </head> <body> <table cellpadding="0" cellspacing="0" border="0" width="98%" align="center"> <tr> <td class="top_bg"> <div class="divFooter"> <img src="https://im4change.in/images/logo1.jpg" height="59" border="0" alt="Resource centre on India's rural distress" style="padding-top:14px;"/> </div> </td> </tr> <tr> <td id="topspace"> </td> </tr> <tr id="topspace"> <td> </td> </tr> <tr> <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> <tr> <td width="100%"> <h1 class="news_headlines" style="font-style:normal"> <strong>The myth of 15 million jobs -Mahesh Vyas</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust job growth, not fake news,’ IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data — apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups — 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups — 15-24 and 25-64 years. The stated reason for this division is because, “when you have increased enrolment in education … employment (and labour force) definition should include the fact that you are attending school or college’’.<br /><br />I don’t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its “Statistical Profile”, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div> </font> </td> </tr> <tr> <td> </td> </tr> <tr> <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> </table></body> </html>' } $cookies = [] $values = [ (int) 0 => 'text/html; charset=UTF-8' ] $name = 'Content-Type' $first = true $value = 'text/html; charset=UTF-8'header - [internal], line ?? 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Note that the two sources are completely incomparable and the patches are of cherry-picked data — apparent selections of convenient estimates from two different sources.<br /> <br /> Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /> <br /> Bhalla presents data on two age groups — 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups — 15-24 and 25-64 years. The stated reason for this division is because, “when you have increased enrolment in education … employment (and labour force) definition should include the fact that you are attending school or college’’.<br /> <br /> I don’t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /> <br /> CMIE provides data on employment by age-brackets in its “Statistical Profile”, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /> <br /> Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /> <br /> Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Indian Express, 1 May, 2018, http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'the-myth-of-15-million-jobs-mahesh-vyas-4684510', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4684510, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 36398, 'metaTitle' => 'LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas', 'metaKeywords' => 'Centre for Monitoring Indian Economy (CMIE),Job Creation,job loss,jobless growth,joblessness,Employees' Provident Fund Organisation (EPFO),Employment,employment data', 'metaDesc' => ' -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust...', 'disp' => '<div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust job growth, not fake news,’ IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data — apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups — 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups — 15-24 and 25-64 years. The stated reason for this division is because, “when you have increased enrolment in education … employment (and labour force) definition should include the fact that you are attending school or college’’.<br /><br />I don’t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its “Statistical Profile”, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 36398, 'title' => 'The myth of 15 million jobs -Mahesh Vyas', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express<br /> <br /> <em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /> </em><br /> Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust job growth, not fake news,’ IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data — apparent selections of convenient estimates from two different sources.<br /> <br /> Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /> <br /> Bhalla presents data on two age groups — 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups — 15-24 and 25-64 years. The stated reason for this division is because, “when you have increased enrolment in education … employment (and labour force) definition should include the fact that you are attending school or college’’.<br /> <br /> I don’t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /> <br /> CMIE provides data on employment by age-brackets in its “Statistical Profile”, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /> <br /> Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /> <br /> Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Indian Express, 1 May, 2018, http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'the-myth-of-15-million-jobs-mahesh-vyas-4684510', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4684510, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ (int) 0 => object(Cake\ORM\Entity) {}, (int) 1 => object(Cake\ORM\Entity) {}, (int) 2 => object(Cake\ORM\Entity) {}, (int) 3 => object(Cake\ORM\Entity) {}, (int) 4 => object(Cake\ORM\Entity) {}, (int) 5 => object(Cake\ORM\Entity) {}, (int) 6 => object(Cake\ORM\Entity) {}, (int) 7 => object(Cake\ORM\Entity) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 36398 $metaTitle = 'LATEST NEWS UPDATES | The myth of 15 million jobs -Mahesh Vyas' $metaKeywords = 'Centre for Monitoring Indian Economy (CMIE),Job Creation,job loss,jobless growth,joblessness,Employees' Provident Fund Organisation (EPFO),Employment,employment data' $metaDesc = ' -The Indian Express Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust...' $disp = '<div align="justify">-The Indian Express<br /><br /><em>Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017.<br /></em><br />Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust job growth, not fake news,’ IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data — apparent selections of convenient estimates from two different sources.<br /><br />Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences.<br /><br />Bhalla presents data on two age groups — 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups — 15-24 and 25-64 years. The stated reason for this division is because, “when you have increased enrolment in education … employment (and labour force) definition should include the fact that you are attending school or college’’.<br /><br />I don’t get that reasoning. It is more likely that the division is just the convenient one to get the desired results.<br /><br />CMIE provides data on employment by age-brackets in its “Statistical Profile”, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age.<br /><br />Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author.<br /><br />Please <a href="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/" title="http://indianexpress.com/article/opinion/columns/pm-narendra-modi-india-job-growth-unemployment-rate-economy-demonetisation-bjp-5157708/">click here</a> to read more. <br /></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'
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The myth of 15 million jobs -Mahesh Vyas |
-The Indian Express
Incomparable data sets, cherry-picking, and dubious statistical analysis are behind the claims of robust employment growth. Only 1.4 million jobs were added in 2017. Surjit Bhalla has invented an estimate that 15 million jobs were created in 2017 (‘Robust job growth, not fake news,’ IE, April 28). This is an invention; it is not a discovery or an inference by honest statistical analysis. It is an invention because Bhalla unnecessarily patches selective estimates of two completely incomparable sources of data on employment. Note that the two sources are completely incomparable and the patches are of cherry-picked data — apparent selections of convenient estimates from two different sources. Further, there is no compelling reason to be so selective because both sources provide complete data to draw independent inferences. Bhalla presents data on two age groups — 15-24 years and 25-64 years. He has chosen to disregard people of 65 years and above although 16 million of these were employed during early 2016. So, we have two age groups — 15-24 and 25-64 years. The stated reason for this division is because, “when you have increased enrolment in education … employment (and labour force) definition should include the fact that you are attending school or college’’. I don’t get that reasoning. It is more likely that the division is just the convenient one to get the desired results. CMIE provides data on employment by age-brackets in its “Statistical Profile”, which is released after the completion of every wave of its Consumer Pyramids Household Survey (CPHS). Data from six such waves are freely available at http://unemploymentinindia.cmie.com. There are 10 age brackets of five years each from 15-19 through 60-64 and then there is an 11th age bracket of greater than 64 years age. Bhalla picks data for the age groups 25-64 from here and ignores the data on the age-groups 15-24 and greater than 64 years. Why were these age brackets picked and why were the others not? This was cherry-picking of selective data that suits the objective of the author. Please click here to read more. |