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Combining census and survey data to study spatial dimensions of poverty

  • Hentschel, Jesko
  • Lanjouw, Jean Olson
  • Lanjouw, Peter
  • Poggi, Javier

Poverty maps, providing information on the spatial distribution of living standards, are an important tool for policy making and economic research. Policymakers can use such maps to allocate transfers and inform policy design. The maps can also be used to investigate the relationship between growth and distribution inside a country, thereby complementing research using cross-county regressions. The development of detailed poverty maps is difficult because of data constraints. Household surveys contain data on income or consumption but are typically small. Census data cover a large sample but do not generally contain the right information. Poverty maps based on census data but constructed in an ad-hoc manner can be unreliable. The authors demonstrate how sample survey data and census data can be combined to yield predicted poverty rates for all households covered by the census. This represents an improvement over ad hoc poverty maps. However, standard errors on the estimated poverty rates are not negligible, so additional efforts to cross-check results are warranted.

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Paper provided by The World Bank in its series Policy Research Working Paper Series with number 1928.

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Date of creation: 30 Jun 1998
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Handle: RePEc:wbk:wbrwps:1928
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  1. Haddad, Lawrence & Kanbur, Ravi, 1990. "How Serious Is the Neglect of Intra-Household Inequality?," Economic Journal, Royal Economic Society, vol. 100(402), pages 866-81, September.
  2. Ravallion, Martin, 1988. "Expected Poverty under Risk-Induced Welfare Variability," Economic Journal, Royal Economic Society, vol. 98(393), pages 1171-82, December.
  3. Alesina, Alberto F & Rodrik, Dani, 1991. "Distributive Politics and Economic Growth," CEPR Discussion Papers 565, C.E.P.R. Discussion Papers.
  4. M Arellano & Costas Megir & Mary Silles, 1990. "Female Labour Supply and On-the-Job Search: An Empirical Model Estimated using Complementary Data Sets," CEP Discussion Papers dp0009, Centre for Economic Performance, LSE.
  5. Anand, Sudhir & Kanbur, S. M. R., 1993. "The Kuznets process and the inequality--development relationship," Journal of Development Economics, Elsevier, vol. 40(1), pages 25-52, February.
  6. Chaudhuri, Shubham & Ravallion, Martin, 1994. "How well do static indicators identify the chronically poor?," Journal of Public Economics, Elsevier, vol. 53(3), pages 367-394, March.
  7. Deininger, Klaus & Squire, Lyn, 1996. "A New Data Set Measuring Income Inequality," World Bank Economic Review, World Bank Group, vol. 10(3), pages 565-91, September.
  8. Lanjouw, Jean Olson & Lanjouw, Peter, 1997. "Poverty comparisons with non-compatible data: theory and illustrations," Policy Research Working Paper Series 1709, The World Bank.
  9. Persson, T. & Tabellini, G., 1993. "Is Inequality Harmful for Growth," Papers 537, Stockholm - International Economic Studies.
  10. Isaki, Cary T, 1990. "Small-Area Estimation of Economic Statistics," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(4), pages 435-41, October.
  11. Bruno, Michael & Ravallion, Martin & Squire, Lyn, 1996. "Equity and growth in developing countries : old and new perspectives on the policy issues," Policy Research Working Paper Series 1563, The World Bank.
  12. Hentschel, J. & Lanjouw, P., 1996. "Constructing an Indicator of Consumption for the Analysis of Poverty. Principles and Illustrations with Reference to Ecuador," Papers 127, World Bank - Living Standards Measurement.
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