Small area estimation of poverty under structural change

Simon Lange, Utz Pape and Peter Putz

No 8472, Policy Research Working Paper Series from The World Bank

Abstract: Small area poverty maps allow for the design of policies based on spatial differences in welfare. They are typically estimated based on a consumption survey reporting on poverty and a census providing the spatial disaggregation. This paper presents a new method which allows for the estimation of up-to-date small area poverty maps when only a dated census and a more recent survey are available and predictors and structural parameters are subject to drift over time, a situation commonly encountered in practice. Instead of using survey variables to explain consumption in the survey, the new approach uses variables constructed from the census. The proposed estimator has fewer data requirements and weaker assumptions than common small area poverty map estimators. Applications to simulated data and to poverty estimation in Brazil show an overall good performance.

Keywords: Inequality; Employment and Unemployment; Poverty Diagnostics; Poverty Monitoring&Analysis; Poverty Lines; Poverty Impact Evaluation; Small Area Estimation Poverty Mapping; Poverty Assessment; Educational Sciences; Global Environment (search for similar items in EconPapers)
Date: 2018-06-12
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Citations: View citations in EconPapers (8)

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Related works:
Journal Article: Small Area Estimation of Poverty Under Structural Change (2022)
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