Poverty Dynamics in India between 2004 and 2012: Insights from Longitudinal Analysis Using Synthetic Panel Data

Dang, Hai-Anh; Lanjouw, Peter

doi:10.1596/1813-9450-7270

Cited by 38 publications

(83 citation statements)

References 24 publications

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“…See Appendix 2, Table 2.2 and Appendix 3, Table 3.4 in the online supporting material for more details. For a more detailed discussion of income mobility for India during this period and over longer periods, see Dang and Lanjouw () and Rama et al . ().…”

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Welfare Dynamics Measurement: Two Definitions of a Vulnerability Line and Their Empirical Application

Dang

Lanjouw

2016

Review of Income and Wealth

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We propose a new approach to develop vulnerability lines that are explicitly anchored to the idea of a subset of the population at risk of falling into poverty. We suggest that lines developed in this way can also be applied for the purpose of identifying the middle class (or "secure"). We illustrate that such vulnerability lines can be straightforwardly estimated with panel data, drawing on data from the USA and Vietnam. Importantly, given the relative scarcity of panel datasets, we show further that our method can be applied to synthetic panel datasets. We demonstrate this by means of an illustration using repeated cross-section data from India. Our results indicate that in Vietnam and India during the 2000s, the population shares that can be designated as poor and as secure have, respectively, been falling and expanding, with the vulnerable share of the population remaining fairly stable. Sharply contrasting trends are seen in the USA.JEL Codes: C14, D31, I32

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Welfare Dynamics Measurement: Two Definitions of a Vulnerability Line and Their Empirical Application

Dang

Lanjouw

2016

Review of Income and Wealth

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“…Compared to previous studies, Dang et al's (2017) method provides a more explicit theoretical modeling framework, with new features such as model selection and standardization of surveys of different designs (e.g., for imputing from a household survey into a labor force survey). This technique has recently been applied to data from several African countries (Beegle et al, 2016), India (Dang and Lanjouw, 2018), Tunisia (Cuesta and Ibarra, 2017), and Vietnam (Dang et al, 2019). 6 2.…”

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“…On the other hand, adding more control variables does not necessarily lead to a better model fit. While this result may appear counter-intuitive, one possible reason is that doing so may overfit the data and thus does not offer more accuracy, which is shown with empirical evidence from India and Jordan(Dang et al, 2017;Dang and Lanjouw, 2018). A recent theoretical study also suggests that for misspecified regressions, adding more variables may result in…”

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Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?

Dang¹,

Verme²

2019

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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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“…The scarcity of panel data has thus rendered the analysis of welfare dynamics difficult, if not impossible, in many developing country settings. Dang and Lanjouw (2018) overcome this data challenge by employing recently developed statistical techniques that allow them to construct synthetic panels from repeated cross-sections of the NSS surveys (Dang and Lanjouw 2013, 2018a, 2018bDang et al 2014). While these synthetic panel techniques have been validated against actual panel data (and applied) in other contexts, they have not been validated using actual panel data for India.…”

Section: Poverty Vulnerability and Mobility In Indiamentioning

confidence: 99%

Inequality trends and dynamics in India: The bird’s-eye and the granular perspectives

Dang¹,

Lanjouw²

2018

WIDER Working Paper

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Poverty Dynamics in India between 2004 and 2012: Insights from Longitudinal Analysis Using Synthetic Panel Data

Cited by 38 publications

References 24 publications

Welfare Dynamics Measurement: Two Definitions of a Vulnerability Line and Their Empirical Application

Welfare Dynamics Measurement: Two Definitions of a Vulnerability Line and Their Empirical Application

Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?

Inequality trends and dynamics in India: The bird’s-eye and the granular perspectives

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