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Combining census and survey data to study spatial dimensions of poverty

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Author Info

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

Abstract

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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Bibliographic Info

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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Related research

Keywords: Health Economics&Finance; Environmental Economics&Policies; Services&Transfers to Poor; Poverty Monitoring&Analysis; Public Health Promotion; Poverty Monitoring&Analysis; Health Economics&Finance; Poverty Assessment; Environmental Economics&Policies; VN-Acb Mis -- IFC-00535908;

References

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  1. 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.
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  7. 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.
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  9. 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.
  10. 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.
  11. Lanjouw, Jean Olson & Lanjouw, Peter, 1997. "Poverty comparisons with non-compatible data: theory and illustrations," Policy Research Working Paper Series 1709, 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.
  13. Hongyi Li & Lyn Squire & Tao Zhang & Heng-fu Zou, 1999. "A Data Set on Income Distribution," CEMA Working Papers 575, China Economics and Management Academy, Central University of Finance and Economics.
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Citations

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Cited by:
  1. Francisco H. G. Ferreira & Peter Lanjouw & Marcelo Côrtes Neri, 2003. "A Robust Poverty Profile for Brazil Using Multiple Data Sources," Revista Brasileira de Economia, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 57(1), pages 59-92, January.
  2. Johannes G. Hoogeveen & Berk Özler, 2005. "Not Separate, Not Equal: Poverty and Inequality in Post-Apartheid South Africa," William Davidson Institute Working Papers Series wp739, William Davidson Institute at the University of Michigan.
  3. Wang, Limin, 2002. "Health outcomes in poor countries and policy options : empirical findings from demographic and health surveys," Policy Research Working Paper Series 2831, The World Bank.
  4. Schipper, Youdi & Hoogeveen, Johannes G., 2005. "Which inequality matters? Growth evidence based on small area welfare estimates in Uganda," Policy Research Working Paper Series 3592, The World Bank.
  5. Máximo Torero & Javier Escobal, 2000. "Does Geography Explain Differences in Economic Growth in Peru?," Research Department Publications 3103, Inter-American Development Bank, Research Department.
  6. Ramírez, E. & Tartakowsky, A. & Modrego, F., 2009. "La importancia de la desigualdad geográfica en Chile," Working papers 030, Rimisp Latin American Center for Rural Development.
  7. Schady, Norbert R., 2000. "Picking the poor : indicators for geographic targeting in Peru," Policy Research Working Paper Series 2477, The World Bank.
  8. Melanie Grosse & Stephan Klasen & Julius Spatz, 2005. "Creating National Poverty Profiles and Growth Incidence Curves with Incomplete Income or Consumption Expenditure Data: An Application to Bolivia," Ibero America Institute for Econ. Research (IAI) Discussion Papers 129, Ibero-America Institute for Economic Research.
  9. Benjamin Davis, 2002. "Is it Possible to Avoid a Lemon? Reflections on Choosing a Poverty Mapping Method," Working Papers in Food Policy and Nutrition 08, Friedman School of Nutrition Science and Policy.
  10. Gottlieb, Daniel & Manor, Roy, 2005. "On the Choice of a Policy-oriented Poverty Measure: The Case of Israel 1997-2002," MPRA Paper 3842, University Library of Munich, Germany.
  11. Gilligan, Daniel O. & Veiga, Alinne, 2003. "An Evaluation Of Geographic Targeting In Bolsa Alimentação In Brazil," 2003 Annual meeting, July 27-30, Montreal, Canada 21915, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  12. Francisco H.G. Ferreira & Peter Lanjouw & Marcelo Neri, 2001. "A New Poverty Profile For Brazil Using PPV, PNAD And Census Data," Anais do XXIX Encontro Nacional de Economia [Proceedings of the 29th Brazilian Economics Meeting] 100, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  13. Deichman, Uwe & Lall, Somik V. & Suri, Ajay & Rajoria, Pragya, 2003. "Information-based instruments for improved urban management," Policy Research Working Paper Series 3002, The World Bank.

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