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Creating National Poverty Profiles and Growth Incidence Curves with Incomplete Income or Consumption Expenditure Data: An Application to Bolivia

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  • Spatz, Julius
  • Klasen, Stephan
  • Grosse, Melanie

Abstract

In many developing countries, there does not exist a time series of nationally representative household budget or income surveys, while there often are surveys of regions as well as nationally representative Demographic and Health Surveys (DHS) which lack information on incomes. This makes an analysis of trends and determinants of poverty and inequality impossible. This is also the situation in Bolivia where there exist urban household surveys and nationally representative DHS since 1989, while nationally representative household income surveys only exist since 1997. In this paper, we adjust a technique developed for poverty mapping exercises to link urban household income surveys with DHS data to generate a time series of household income data from 1989 to 2002. Our technique performs well on validation tests, is superior to imputing incomes from assets in the DHS, and is able to generate new information on poverty and inequality in Bolivia.

Suggested Citation

  • Spatz, Julius & Klasen, Stephan & Grosse, Melanie, 2006. "Creating National Poverty Profiles and Growth Incidence Curves with Incomplete Income or Consumption Expenditure Data: An Application to Bolivia," Proceedings of the German Development Economics Conference, Berlin 2006 26, Verein für Socialpolitik, Research Committee Development Economics.
    • Handle: RePEc:zbw:gdec06:4749
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    Cited by:

    1. Uribe, Alejandra & Hernani-Limarino, Werner L., 2013. "Pobreza monetaria. Crecimiento y redistribución," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 20, pages 149-230, Noviembre.
    2. Grimm, Michael & Harttgen, Kenneth & Klasen, Stephan & Misselhorn, Mark, 2008. "A Human Development Index by Income Groups," World Development, Elsevier, vol. 36(12), pages 2527-2546, December.
    3. Grosse, Melanie & Harttgen, Kenneth & Klasen, Stephan, 2008. "Measuring Pro-Poor Growth in Non-Income Dimensions," World Development, Elsevier, vol. 36(6), pages 1021-1047, June.
    4. Andrea Brandolini, 2006. "Measurement of Income Distribution in Supranational Entities: The Case of the European Union," LIS Working papers 452, LIS Cross-National Data Center in Luxembourg.
    5. Chris De Neubourg & Jingqing Chai & Marlous de Milliano & Ilze Plavgo, 2013. "Cross-Country MODA Study: Multiple Overlapping Deprivation Analysis (MODA). Technical Note," Papers inwopa696, Innocenti Working Papers.
    6. Klasen, Stephan, 2008. "Economic Growth and Poverty Reduction: Measurement Issues using Income and Non-Income Indicators," World Development, Elsevier, vol. 36(3), pages 420-445, March.
    7. Isabel Günther & Mohamed Ali Marouani & Marc Raffinot, 2006. "La croissance est-elle pro-pauvres au Mali ?," Working Papers DT/2006/15, DIAL (Développement, Institutions et Mondialisation).
    8. Osvaldo Nina & Lykke E. Andersen, 2004. "Regional Integration and Poverty: A case study of Bolivia," Development Research Working Paper Series 06/2004, Institute for Advanced Development Studies.

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    More about this item

    Keywords

    Microsimulation; survey matching; poverty; inequality; pro-poor growth; poverty profile; growth incidence curve; Bolivia;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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