What do we Know about Poverty in India in 2017/18?

Edochie, Ifeanyi; Freije-Rodríguez, Samuel; Lakner, Christoph; Herrera, Laura Moreno; Newhouse, David; Roy, Sutirtha Sinha; Yonzan, Nishant

doi:10.1596/1813-9450-9931

Cited by 4 publications

(11 citation statements)

References 19 publications

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“…27 In comparison, estimates from Newhouse and Vyas (2019) are 2.2 percentage point apart from the actual national rate but the differences for urban samples are 9.2 percentage points higher. Deviations from the actual poverty rate in Edochie, et al (2022) are in the same direction as our estimates but the magnitude is considerably higher in their study across all samples. Overall, these out-of-sample predictions for NSS-2004 suggest that our approach yield estimates that are closer to the actual headcount rate across rural, urban and all-India samples.…”

Section: Robustness Analysissupporting

confidence: 68%

“…By the same token, our estimates of poverty are notably higher than previous estimates obtained by the World Bank's Povcalnet database and other scholars, see e.g. Edochie, et al (2022); Newhouse and Vyas (2019) and Gupta, Malani and Woda (2021b). Estimates from World Bank's Povcalnet are included in Figure 15 for comparison.…”

Section: Main Estimates Of Poverty and Inequalitycontrasting

confidence: 54%

“…The method therefore assumes that inequality has remained unchanged since the NSS-2011 24 . We compare our approach to Newhouse and Vyas (2019) and Edochie, et al(2022) in Section 5.2 and reflect on the potential reasons for why their estimates are lower. Gupta, Malani and Woda (2021b) use the raw CPHS data to construct headcounts for 2019 and the post-pandemic period; our reservations with this approach are documented in Section 3.…”

Section: Main Estimates Of Poverty and Inequalitymentioning

confidence: 99%

“…This "back casting" exercise generates poverty figures for 2004 based on the estimated coefficients in Table 2 and imputing consumption for 2004 based on the NSS consumption round for the year. The back casted estimates can also help compare our approach to those of Newhouse and Vyas (2019) and Edochie, et al (2022). As all three papers use the same training and validation dataset (NSS-2011 and 2004 respectively), these comparisons can reveal the accuracy of prediction across papers.…”

Section: Robustness Analysismentioning

confidence: 99%

“…In the absence of an official consumption survey, several studies have attempted to fill the gap in poverty and inequality data by exploiting alternative data sources. Newhouse and Vyas (2019) and Edochie et al (2022) impute household consumption into different choices of non-expenditure surveys, namely the Survey of Expenditure on Services and Durables (conducted in 2014-15) and the Survey on Social Consumption on Health (conducted in 2017-18). Chen, et al (2018) and Felman, et al (2019) predict growth in mean household consumption based on national accounts data.…”

Section: Introductionmentioning

confidence: 99%

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Poverty in India has Declined over the Last Decade but not as Much as Previously Thought

Roy¹,

Weide²

2022

Policy Research Working Papers

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Section: Robustness Analysissupporting

confidence: 68%