Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas
By Alessandro Tarozzi, Angus Deaton. Review of Economics and Statistics, 2009
184 citations recorded by the source corpus.
Recent years have seen widespread use of small-area maps based on census data enriched by relationships estimated from household surveys that predict variables, such as income, not covered by the census. The purpose is to obtain putatively precise estimates of poverty and inequality for small areas for which no or few observations are available in the survey. 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. We document the potential empirical relevance of such concerns using data from the 2000 census of Mexico.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/a96e64b20ae0a33bf2f1ddd91c140b9d4e35c971
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In Economics and Econometrics
- Patrick Mcewan
- J. Rao
- Isabel Molina
- Sebastian Galiani
- Domingo Morales
- Danny Pfeffermann
- Jiming Jiang
In Sociology and Political Science
- J. Rao
- Isabel Molina
- Sebastian Galiani
- Patrick Mcewan
- Danny Pfeffermann
- Mamadou Saliou Diallo
- Jae Kwang Kim
Citations in the corpus
- Small area estimation of poverty indicators (2010, methodology): “We are also studying the use of survey weights by developing pseudo-EB estimators, similar to those of You and Rao (2002) and Jiang and Lahiri (2006), for the area means.”
- Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST) (2016, unknown): “…decompositions as in Dinardo, Fortin, and Lemieux (1996) and Barsky et al. (2002), poverty mapping as in Elbers, Lanjouw, and Lanjouw (2003) and Tarozzi and Deaton (2009), direct standardization methods used in demography (e.g., Kitagawa 1964), and models with mismeasured regressors and…”
- The Heterogeneous Impact of Conditional Cash Transfers (2013, background): “We hesitate to draw strong conclusions, however, since a violation of the area homogeneity assumption could lead to systematic errors in poverty predictions across municipalities (Tarozzi and Deaton, 2009).”