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

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 15827

Classification and Topics

• Classification: Wirtschaft ; Forecasting Models; Simulation Methods ; Personal Income, Wealth, and Their Distributions ; Measurement and Analysis of Poverty ; Economic Development: Human Resources; Human Development; Income Distribution; Migration
• Subject: transitory and chronic poverty ; income mobility ; consumption ; cross sections ; synthetic panels ; household surveys

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Dang, Hai-Anh ; Lanjouw, Peter F.
• Event: Veröffentlichung
• (who): Institute of Labor Economics (IZA)
• (where): Bonn
• (when): 2022

Further information

• Handle: http://hdl.handle.net/10419/272454
• Last update: 10.03.2025, 11:44 AM CET