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

37 Pages Posted: 5 Jul 2007

See all articles by Alessandro Tarozzi

Alessandro Tarozzi

Universitat Pompeu Fabra - Department of Economics and Business

Angus Deaton

Princeton University; National Bureau of Economic Research (NBER)

Date Written: June 2007

Abstract

Household expenditure survey data cannot yield precise estimates of poverty or inequality for small areas for which no or few observations are available. Census data are more plentiful, but typically exclude income and expenditure data. Recent years have seen a widespread use of small-area "poverty maps" based on census data enriched by relationships estimated from household surveys that predict variables not covered by the census. These methods are used to estimate putatively precise estimates of poverty and inequality for areas as small as 20,000 households. In this paper we argue that to usefully match survey and census data in this way requires a degree of spatial homogeneity for which the method provides no basis, and which is unlikely to be satisfied in practice. The relationships that are used to bridge the surveys and censuses are not structural but are projections of missing variables on a subset of those variables that happen to be common to the survey and the census supplemented by local census means appended to the survey. As such, the coefficients of the projections will generally vary from area to area in response to variables that are not included in the analysis. Estimates of poverty and inequality that assume homogeneity will generally be inconsistent in the presence of spatial heterogeneity, and error variances calculated on the assumption of homogeneity will underestimate mean squared errors and overestimate the coverage of calculated confidence intervals. We use data from the 2000 census of Mexico to construct synthetic "household surveys" and to simulate the poverty mapping process using a robust method of estimation; our simulations show that while the poverty maps contain useful information, their nominal confidence intervals give a misleading idea of precision.

Keywords: small area statistics, poverty, inequality, heterogeneity, survey methods

JEL Classification: I32, C31, C42

Suggested Citation

Tarozzi, Alessandro and Deaton, Angus S., Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas (June 2007). Available at SSRN: https://ssrn.com/abstract=997829 or http://dx.doi.org/10.2139/ssrn.997829

Alessandro Tarozzi

Universitat Pompeu Fabra - Department of Economics and Business ( email )

Barcelona
Spain

Angus S. Deaton (Contact Author)

Princeton University ( email )

Woodrow Wilson School
Princeton, NJ 08544
United States
609-258-5967 (Phone)
609-258-5974 (Fax)

HOME PAGE: http://www.wws.princeton.edu/~deaton

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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