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Estimating Poverty Transitions from Repeated Cross-Sections

A Statistical Perspective

Bibliographic Data

ID2064905
AuthorsRiccardo D’alberto (0000-0002-7227-7485), Silvia De Nicolò (0000-0001-5052-6527), Aldo Gardini (0000-0002-2164-5815)
Year2025
Volume179
Issue3
Pages1143-1164
Publication date2025-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Indicators Research (JOURNAL)
Journal identifiersISSN: 0303-8300 • E-ISSN: 1573-0921
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11205-025-03645-3
OpenAlexW4411255770
LanguageEN
Citations received1
References cited28

Econometrics · Economic geography · Economic growth · Economics · Geography · Human geography · Perspective (graphical · Poverty · Public health · Quality of Life Research · Sociology · Statistics · Economic and Environmental Valuation · Income, Poverty, and Inequality · Mathematics · Medicine · Spatial and Panel Data Analysis

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  • Problems with Instrumental Variables Estimation when the Correlation between the Instruments and the Endogenous Explanatory Variable is Weak

    John Bound, David A Jaeger et al.•Journal of the American…•1995

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    Open Access•Lorenzo Cappellari, Stephen P Jenkins•Journal of Applied Econometrics•2004

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  • Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross Sections

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

  • Estimating poverty transitions using repeated cross-sections

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

  • Conceptualizing Chronic Poverty

    Open Access•David Hulme, Andrew Shepherd•World Development•2003

  • 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

  • Data Integration Techniques for the Identification of Poverty Profiles

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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