Finite-Sample Bias and Inconsistency in the Estimation of Poverty Maps
I argue that the estimation technique - widely used in the poverty mapping literature - introduced by Elbers, Lanjouw and Lanjouw, is highly sensitive to specification, severely biased in finite samples, and almost certain to fail to estimate the poverty headcount consistently. First, I show that the specification of the first-stage model of household expenditure strongly influences the estimated headcount; the range of obtainable estimates is on the order of 20% for many districts, and is as high as 48% for some areas. Further, some specifications imply province-level headcounts which diverge from the direct estimates by many as six standard deviations. Secondly, I construct bootstrap confidence intervals for the difference between the estimates under alternative specifications, which shows that (at a 2% level of significance) finite sample-bias is present in more than 42% of districts in even the best-performing regions. I calculate approximate lower bounds for the bias; I find it to be on the order of 3% for most areas, but the lower bounds range as high as 19.6% in some provinces. Finally, I argue that consistent estimation of the first stage model is necessary for consistent second-stage imputations and I decompose the difference between the true and estimated headcount into a sampling component and a specification component, the latter of which is asymptotically persistent. Given these results, it appears that the poverty maps estimated by this technique reflect primarily the arbitrary and unexamined methodological choices of their authors rather than robust features of the data.
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- Harold Alderman & Miriam Babita & Gabriel Demombynes & Nthabiseng Makhatha & Berk Özler, 2002. "How Low Can You Go? Combining Census and Survey Data for Mapping Poverty in South Africa," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 11(2), pages 169-200, June.
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- Demombynes, Gabriel & Ozler, Berk, 2005.
"Crime and local inequality in South Africa,"
Journal of Development Economics,
Elsevier, vol. 76(2), pages 265-292, April.
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- Fujii, Tomoki, 2004. "Commune-Level Estimation of Poverty Measures and its Application in Cambodia," WIDER Working Paper Series 048, World Institute for Development Economic Research (UNU-WIDER).
- Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
- Alessandro Tarozzi & Angus Deaton, 2009. "Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 773-792, November.
- Demombynes, Gabriel & Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2007. "How good a map ? Putting small area estimation to the test," Policy Research Working Paper Series 4155, The World Bank.
- Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007. "Poverty alleviation through geographic targeting: How much does disaggregation help?," Journal of Development Economics, Elsevier, vol. 83(1), pages 198-213, May.
- Elbers, Chris & Tomoki Fujii & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2004. "Poverty alleviation through geographic targeting : how much does disaggregation help?," Policy Research Working Paper Series 3419, The World Bank.
- Tarozzi, Alessandro, 2011. "Can census data alone signal heterogeneity in the estimation of poverty maps?," Journal of Development Economics, Elsevier, vol. 95(2), pages 170-185, July.
- Tara Bedi & Aline Coudouel & Kenneth Simler, 2007. "More Than a Pretty Picture : Using Poverty Maps to Design Better Policies and Interventions," World Bank Publications, The World Bank, number 6800, July.
- Elbers, Chris & Lanjouw, Peter & Mistiaen, Johan & Ozler, Berk & Simler, Kenneth, 2003. "Are Neighbours Equal? Estimating Local Inequality in Three Developing Countries," WIDER Working Paper Series 052, World Institute for Development Economic Research (UNU-WIDER).
- Minot, Nicholas & Baulch, Bob & Epperecht, Michael, 2006. "Poverty and inequality in Vietnam: spatial patterns and geographic determinants," Research reports 148, International Food Policy Research Institute (IFPRI). Full references (including those not matched with items on IDEAS)
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