Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas
Alessandro Tarozzi () and
Angus Deaton ()
The Review of Economics and Statistics, 2009, vol. 91, issue 4, 773-792
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. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
References: Add references at CitEc
Citations View citations in EconPapers (34) Track citations by RSS feed
Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/rest.91.4.773 link to full text (application/pdf)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:91:y:2009:i:4:p:773-792
Ordering information: This journal article can be ordered from
http://mitpress.mit. ... me.tcl?issn=00346535
Access Statistics for this article
The Review of Economics and Statistics is currently edited by Daron Acemoglu, George J. Borjas, Dani Rodrik and Julio J. Rotemberg
More articles in The Review of Economics and Statistics from MIT Press
Series data maintained by Kristin Waites ().