Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross-Sections
Hai-Anh Dang () and
Peter Lanjouw
No 1213, GLO Discussion Paper Series from Global Labor Organization (GLO)
Abstract:
Panel data are rarely available for developing countries. Departing from traditional pseudo-panel methods that require multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with as few as two survey rounds and produces point estimates of transitions along the welfare distribution at the more disaggregated household level. Validation using Monte Carlo simulations and real cross-sectional and actual panel survey data-from several countries, spanning different income levels and geographical regions-perform well under various deviations from model assumptions. The method could also inform investigation of other welfare outcome dynamics.
Keywords: transitory and chronic poverty; income mobility; consumption; cross sections; synthetic panels; household surveys (search for similar items in EconPapers)
JEL-codes: C53 D31 I32 O15 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-dev
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/267552/1/GLO-DP-1213.pdf (application/pdf)
Related works:
Journal Article: Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross Sections (2023) 
Working Paper: Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross-Sections (2022) 
Working Paper: Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross-Sections (2022) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zbw:glodps:1213
Access Statistics for this paper
More papers in GLO Discussion Paper Series from Global Labor Organization (GLO) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().