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Poverty Mapping with Aggregate Census Data: What is the Loss in Precision?

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  • Nicholas Minot
  • Bob Baulch

Abstract

Spatially disaggregated maps of the incidence of poverty can be constructed by combining household survey data and census data. In some countries (notably China and India), national statistics agencies are reluctant, for reasons of confidentiality, to release household-level census data, but they are generally more willing to release aggregated census data, such as village- or district-level means. This paper examines the loss in precision associated with using aggregated census data instead of household-level data to generate poverty estimates.

Suggested Citation

  • Nicholas Minot & Bob Baulch, 2004. "Poverty Mapping with Aggregate Census Data: What is the Loss in Precision?," WIDER Working Paper Series RP2004-38, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:rp2004-38
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    File URL: https://www.wider.unu.edu/sites/default/files/rp2004-038.pdf
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    References listed on IDEAS

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    1. Minot, Nicholas & Baulch, Bob, 2002. "The spatial distribution of poverty in Vietnam and the potential for targeting," Policy Research Working Paper Series 2829, The World Bank.
    2. Hentschel, Jesko & Lanjouw, Jean Olson & Lanjouw, Peter & Poggi, Javier, 1998. "Combining census and survey data to study spatial dimensions of poverty," Policy Research Working Paper Series 1928, The World Bank.
    3. Minot, Nicholas, 1998. "Generating disaggregated poverty maps," MTID discussion papers 25, International Food Policy Research Institute (IFPRI).
    4. World Bank, 2003. "World Development Indicators 2003," World Bank Publications - Books, The World Bank Group, number 13920, December.
    5. 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).
    6. Minot, Nicholas, 2000. "Generating Disaggregated Poverty Maps: An Application to Vietnam," World Development, Elsevier, vol. 28(2), pages 319-331, February.
    7. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    8. Bigman, David, et al, 2000. "Community Targeting for Poverty Reduction in Burkina Faso," The World Bank Economic Review, World Bank, vol. 14(1), pages 167-193, January.
    9. Bigman, David & Fofack, Hippolyte, 2000. "Geographical Targeting for Poverty Alleviation: An Introduction to the Special Issue," The World Bank Economic Review, World Bank, vol. 14(1), pages 129-145, January.
    10. Hentschel, Jesko, et al, 2000. "Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador," The World Bank Economic Review, World Bank, vol. 14(1), pages 147-165, January.
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    Cited by:

    1. Olivia, Susan & Gibson, John & Smith, Aaron D. & Rozelle, Scott & Deng, Xiangzheng, 2009. "An Empirical Evaluation of Poverty Mapping Methodology: Explicitly Spatial versus Implicitly Spatial Approach," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47651, Australian Agricultural and Resource Economics Society.
    2. Bruno Arpino & Arnstein Aassve, 2014. "The role of villages in households’ poverty exit: evidence from a multilevel model for rural Vietnam," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2175-2189, July.
    3. Afsah Khalid & Dr. Qaiser Munir, 2024. "The Determinants of Household Poverty and Expenditure Inequality in Pakistan: Evidence from the Household Income and Expenditure Survey," Social Inequality Lab Working Paper Series wpsil5, School of Economics and Social Sciences, IBA Karachi.
    4. Mduma, John K. & Wobst, Peter, 2005. "Village Level Labor Market Development in Tanzania: Evidence from Spatial Econometrics," Discussion Papers 276260, University of Bonn, Center for Development Research (ZEF).
    5. Minot, Nicholas & Baulch, Bob, 2005. "Spatial patterns of poverty in Vietnam and their implications for policy," Food Policy, Elsevier, vol. 30(5-6), pages 461-475.
    6. Francesco Balducci, 2021. "Mapping the invisibles: Using non-conventional point-level data to analyse residential patterns of deprived people in a mid-sized city," Urban Studies, Urban Studies Journal Limited, vol. 58(8), pages 1634-1654, June.

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