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);

    }
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 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
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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
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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);

    }
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 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
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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 Context
            if (Configure::read('debug')) {

                trigger_error($message, E_USER_WARNING);

            } else {
$response = object(Cake\Http\Response) {

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&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;There needs to be engagement with survey data, but ground-level realities should shape programmatic interventions&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Based on multidimensional poverty measurement, the Poverty Ratio (Head Count Ratio) in Tamil Nadu declined from 4.89% in 2015-16 to 1.57% in 2020-21, based on the fourth and fifth rounds of the National Family Health Survey (NFHS) data. Is this too good to believe? Maybe so. Academics have questioned the quality of NFHS data for various reasons, based on the previous four rounds of NFHS databases. Such questions may be raised against the NFHS 5 database also. But first, let us explore the poverty statistics derived from NFHS 5 data using the multidimensional poverty measurement suggested by NITI Aayog and its pointers for policy intervention. After this, we will raise questions about the quality of NFHS data with the aim of using it with caution and to improve data quality keeping the future in mind.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;On the MPI&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;NITI Aayog, armed with a fairly large sample survey data of NFHS 4 (with more than six lakh households in India), estimated the Multidimensional Poverty Index (MPI) and published the baseline report in 2021.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/lead/survey-data-on-poverty-and-broad-policy-pointers/article65758920.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;/p&gt;
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There needs to be engagement with survey data, but ground-level realities should shape programmatic interventions

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There needs to be engagement with survey data, but ground-level realities should shape programmatic interventions

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There needs to be engagement with survey data, but ground-level realities should shape programmatic interventions

Based on multidimensional poverty measurement, the Poverty Ratio (Head Count Ratio) in Tamil Nadu declined from 4.89% in 2015-16 to 1.57% in 2020-21, based on..."/>
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                <strong>Survey data on poverty and broad policy pointers -R Srinivasan and S Raja Sethu Durai</strong></h1>
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                <p style="text-align:justify">-The Hindu</p><p style="text-align:justify"><em>There needs to be engagement with survey data, but ground-level realities should shape programmatic interventions</em></p><p style="text-align:justify">Based on multidimensional poverty measurement, the Poverty Ratio (Head Count Ratio) in Tamil Nadu declined from 4.89% in 2015-16 to 1.57% in 2020-21, based on the fourth and fifth rounds of the National Family Health Survey (NFHS) data. Is this too good to believe? Maybe so. Academics have questioned the quality of NFHS data for various reasons, based on the previous four rounds of NFHS databases. Such questions may be raised against the NFHS 5 database also. But first, let us explore the poverty statistics derived from NFHS 5 data using the multidimensional poverty measurement suggested by NITI Aayog and its pointers for policy intervention. After this, we will raise questions about the quality of NFHS data with the aim of using it with caution and to improve data quality keeping the future in mind.</p><p style="text-align:justify"><em>On the MPI</em></p><p style="text-align:justify">NITI Aayog, armed with a fairly large sample survey data of NFHS 4 (with more than six lakh households in India), estimated the Multidimensional Poverty Index (MPI) and published the baseline report in 2021.</p><p style="text-align:justify">Please <a href="https://www.thehindu.com/opinion/lead/survey-data-on-poverty-and-broad-policy-pointers/article65758920.ece?homepage=true" title="https://www.thehindu.com/opinion/lead/survey-data-on-poverty-and-broad-policy-pointers/article65758920.ece?homepage=true">click here</a> to read more.&nbsp;</p>               </font>
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<span class="code-highlight"><code><span style="color: #000000">&nbsp;&nbsp;&nbsp;&nbsp;&lt;link&nbsp;rel="canonical"&nbsp;href="<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</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">);&nbsp;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">category</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">slug</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>/<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">seo_url</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>.html"/&gt;
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&lt;p style=&quot;text-align:justify&quot;&gt;Based on multidimensional poverty measurement, the Poverty Ratio (Head Count Ratio) in Tamil Nadu declined from 4.89% in 2015-16 to 1.57% in 2020-21, based on the fourth and fifth rounds of the National Family Health Survey (NFHS) data. Is this too good to believe? Maybe so. Academics have questioned the quality of NFHS data for various reasons, based on the previous four rounds of NFHS databases. Such questions may be raised against the NFHS 5 database also. But first, let us explore the poverty statistics derived from NFHS 5 data using the multidimensional poverty measurement suggested by NITI Aayog and its pointers for policy intervention. After this, we will raise questions about the quality of NFHS data with the aim of using it with caution and to improve data quality keeping the future in mind.&lt;/p&gt;

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There needs to be engagement with survey data, but ground-level realities should shape programmatic interventions

Based on multidimensional poverty measurement, the Poverty Ratio (Head Count Ratio) in Tamil Nadu declined from 4.89% in 2015-16 to 1.57% in 2020-21, based on..."/>
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&lt;p style=&quot;text-align:justify&quot;&gt;Based on multidimensional poverty measurement, the Poverty Ratio (Head Count Ratio) in Tamil Nadu declined from 4.89% in 2015-16 to 1.57% in 2020-21, based on the fourth and fifth rounds of the National Family Health Survey (NFHS) data. Is this too good to believe? Maybe so. Academics have questioned the quality of NFHS data for various reasons, based on the previous four rounds of NFHS databases. Such questions may be raised against the NFHS 5 database also. But first, let us explore the poverty statistics derived from NFHS 5 data using the multidimensional poverty measurement suggested by NITI Aayog and its pointers for policy intervention. After this, we will raise questions about the quality of NFHS data with the aim of using it with caution and to improve data quality keeping the future in mind.&lt;/p&gt;

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                <strong>Survey data on poverty and broad policy pointers -R Srinivasan and S Raja Sethu Durai</strong></h1>
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                <p style="text-align:justify">-The Hindu</p><p style="text-align:justify"><em>There needs to be engagement with survey data, but ground-level realities should shape programmatic interventions</em></p><p style="text-align:justify">Based on multidimensional poverty measurement, the Poverty Ratio (Head Count Ratio) in Tamil Nadu declined from 4.89% in 2015-16 to 1.57% in 2020-21, based on the fourth and fifth rounds of the National Family Health Survey (NFHS) data. Is this too good to believe? Maybe so. Academics have questioned the quality of NFHS data for various reasons, based on the previous four rounds of NFHS databases. Such questions may be raised against the NFHS 5 database also. But first, let us explore the poverty statistics derived from NFHS 5 data using the multidimensional poverty measurement suggested by NITI Aayog and its pointers for policy intervention. After this, we will raise questions about the quality of NFHS data with the aim of using it with caution and to improve data quality keeping the future in mind.</p><p style="text-align:justify"><em>On the MPI</em></p><p style="text-align:justify">NITI Aayog, armed with a fairly large sample survey data of NFHS 4 (with more than six lakh households in India), estimated the Multidimensional Poverty Index (MPI) and published the baseline report in 2021.</p><p style="text-align:justify">Please <a href="https://www.thehindu.com/opinion/lead/survey-data-on-poverty-and-broad-policy-pointers/article65758920.ece?homepage=true" title="https://www.thehindu.com/opinion/lead/survey-data-on-poverty-and-broad-policy-pointers/article65758920.ece?homepage=true">click here</a> to read more.&nbsp;</p>               </font>
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		'description' => '<p style="text-align:justify">-The Hindu</p>

<p style="text-align:justify"><em>There needs to be engagement with survey data, but ground-level realities should shape programmatic interventions</em></p>

<p style="text-align:justify">Based on multidimensional poverty measurement, the Poverty Ratio (Head Count Ratio) in Tamil Nadu declined from 4.89% in 2015-16 to 1.57% in 2020-21, based on the fourth and fifth rounds of the National Family Health Survey (NFHS) data. Is this too good to believe? Maybe so. Academics have questioned the quality of NFHS data for various reasons, based on the previous four rounds of NFHS databases. Such questions may be raised against the NFHS 5 database also. But first, let us explore the poverty statistics derived from NFHS 5 data using the multidimensional poverty measurement suggested by NITI Aayog and its pointers for policy intervention. After this, we will raise questions about the quality of NFHS data with the aim of using it with caution and to improve data quality keeping the future in mind.</p>

<p style="text-align:justify"><em>On the MPI</em></p>

<p style="text-align:justify">NITI Aayog, armed with a fairly large sample survey data of NFHS 4 (with more than six lakh households in India), estimated the Multidimensional Poverty Index (MPI) and published the baseline report in 2021.</p>

<p style="text-align:justify">Please <a href="https://www.thehindu.com/opinion/lead/survey-data-on-poverty-and-broad-policy-pointers/article65758920.ece?homepage=true">click here</a> to read more.&nbsp;</p>
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<p style="text-align:justify"><em>On the MPI</em></p>

<p style="text-align:justify">NITI Aayog, armed with a fairly large sample survey data of NFHS 4 (with more than six lakh households in India), estimated the Multidimensional Poverty Index (MPI) and published the baseline report in 2021.</p>

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Survey data on poverty and broad policy pointers -R Srinivasan and S Raja Sethu Durai

-The Hindu There needs to be engagement with survey data, but ground-level realities should shape programmatic interventions Based on multidimensional poverty measurement, the Poverty Ratio (Head Count Ratio) in Tamil Nadu declined from 4.89% in 2015-16 to 1.57% in 2020-21, based on the fourth and fifth rounds of the National Family Health Survey (NFHS) data. Is this too good to believe? Maybe so. Academics have questioned the quality of NFHS data for various reasons, based on the previous four rounds of NFHS databases. Such questions may be raised against the NFHS 5 database also. But first, let us explore the poverty statistics derived from NFHS 5 data using the multidimensional poverty measurement suggested by NITI Aayog and its pointers for policy intervention. After this, we will raise questions about the quality of NFHS data with the aim of using it with caution and to improve data quality keeping the future in mind. On the MPI NITI Aayog, armed with a fairly large sample survey data of NFHS 4 (with more than six lakh households in India), estimated the Multidimensional Poverty Index (MPI) and published the baseline report in 2021. Please click here to read more.