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Poverty Dynamics in India between 2004 and 2012

Insights from Longitudinal Analysis Using Synthetic Panel Data

Bibliographic Data

ID3144740
AuthorsHai-Anh Dang (0000-0003-4913-5291, World Bank), Hai-Anh H Dang, Peter Lanjouw (0000-0002-4150-7890, Tinbergen Institute), Peter F Lanjouw
Year2018
Volume67
Issue1
Pages131-170
Publication date2018-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueEconomic Development and Cultural Change (JOURNAL)
Journal identifiersISSN: 0013-0079 • E-ISSN: 1539-2988
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/697555
OpenAlexW1574688781
LanguageEN
Citations received16
References cited20

Recent National Sample Surveys point to significant poverty reduction in India since 2004–5, with a marked acceleration between 2009–10 and 2011–12. We employ new statistical methods to convert the three pertinent National Sample Survey rounds into synthetic panels, which help reveal original findings on important aspects of income mobility between 2004–5 and 2011–12. In particular, we document a strong pattern of upward mobility out of poverty, with a noticeable acceleration between 2009–10 and 2011–12. We examine some of the key household characteristics of those who have managed to escape poverty and contrast these with those who have fallen into an undesirable welfare status during these periods. We further undertake a careful investigation into the comparability of the survey rounds, prompted by the observation that fairly significant modifications had been made to survey questionnaires. Our findings suggest that changes in questionnaire design have not compromised the comparability of the data

Comparability · Demographic economics · Econometrics · Economic growth · Economics · Poverty · Public economics · Sample (material) · Socioeconomics · Sociology · Statistics · Survey data collection · Survey research · Survey sampling · Welfare · Agricultural risk and resilience · Demography · Economics of Agriculture and Food Markets · Income, Poverty, and Inequality · Mathematics · Psychology

  • Is Poverty in Africa Mostly Chronic or Transient? Evidence from Synthetic Panel Data

    Hai-Anh Dang, Andrew Dabalen et al.•The Journal of Development Studies•2019

  • Estimating poverty transitions in Mozambique using synthetic panels

    Vincenzo Salvucci, Finn Tarp•Estimating poverty transitions in…•2021

  • Welfare dynamics in India over a quarter-century

    Hai-Anh Dang, Peter Lanjouw•Welfare dynamics in India over a…•2018

  • Why did Poverty Decline in India? A Nonparametric Decomposition Exercise

    Carlos Felipe Balcázar, Sonal Desai et al.•2016

  • Poverty Imputation in Contexts without Consumption Data

    Open Access•Talip Kilic, Hai-Anh H Dang et al.•2021

  • Food insecurity dynamics in India

    Open Access•Biplob Bhuyan, Bimal Kishore Sahoo et al.•Social Sciences & Humanities Open•2020

  • To impute or not to impute, and how? A review of poverty‐estimation methods in the absence of consumption data

    Open Access•Hai-Anh Dang, Hai‐Anh H Dang•Development Policy Review•2021

  • EU-Silc and the potential for synthetic panel estimates

    Open Access•Brian Colgan•Empirical Economics•2022

  • Poverty and vulnerability transitions in Indonesia before and during the Covid-19

    Open Access•Ayesha Tantriana•Quality & Quantity•2024

  • Household poverty dynamics in tribal Madhya Pradesh, India

    Open Access•Rishi Kumar•Poverty & Public Policy•2022

  • How valid are synthetic panel estimates of poverty dynamics

    Open Access•Nicolas Hérault, Stephen P Jenkins•The Journal of Economic Inequality•2019

  • Estimating poverty for refugees in data-scarce contexts

    Open Access•Hai-Anh Dang, Paolo Verme•Journal of Population Economics•2022

  • Shedding light on regional growth and convergence in India

    Open Access•AREENDAM CHANDA, Sujana Kabiraj•World Development•2020

  • What’s behind pro-poor growth? An investigation of its drivers and dynamics

    Open Access•Stephan Klasen, Thomas Kneib et al.•The Journal of Economic Inequality•2024

  • Seeking the Indian Social Space

    Open Access•Mathieu Ferry, Jules Naudet et al.•South Asia Multidisciplinary…•2018

  • Vulnerability to Food Insecurity

    Open Access•Mousumi Das•Social Indicators Research•2021

  • Towards an Understanding of Household Vulnerability in Rural Kenya

    Luc Christiaensen, Luc J Christiaensen et al.•Journal of African Economies•2005

  • Changing Living Standards in Southern Indian Villages 1975–2006

    Stefan Dercon, Pramila Krishnan et al.•The Journal of Development Studies•2013

  • Addressing Inequality in South Asia

    Open Access•Martin Rama, Pradeep Mitra et al.•Addressing inequality in South Asia•2014

  • Micro-Level Estimation of Poverty and Inequality

    Open Access•Chris Elbers, Jean O Lanjouw et al.•Econometrica•2003

  • Calculating Comparable Statistics From Incomparable Surveys, With an Application to Poverty in India

    Alessandro Tarozzi•Journal of Business and Economic…•2007

  • Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas

    Alessandro Tarozzi, Angus Deaton•The Review of Economics and…•2009

  • Small area estimation-based prediction methods to track poverty

    Open Access•Luc Christiaensen, Peter Lanjouw et al.•The Journal of Economic Inequality•2011

  • Estimating poverty transitions using repeated cross-sections

    Open Access•Guillermo Cruces, Peter Lanjouw et al.•The Journal of Economic Inequality•2014

  • The Irrelevance of National Strategies? Rural Poverty Dynamics in States and Regions of India, 1993–2005

    Open Access•Anirudh Krishna, Abusaleh Shariff•World Development•2010

  • Using repeated cross-sections to explore movements into and out of poverty

    Open Access•Hai-Anh Dang, Peter Lanjouw et al.•Journal of Development Economics•2013

  • Methods of household consumption measurement through surveys

    Open Access•Kathleen Beegle, Joachim De Weerdt et al.•Journal of Development Economics•2011

Unique citing works16
Citations per year1,6
Citation span2016 - 2024 (9)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 15

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