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Estimating Regional Poverty Lines With Scarce Data: An Application to Brazilian Regions

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Listed:
  • Carlos Roberto Azzoni
  • Fernando Silveira
  • Alexandre Iwata
  • Antonio Ibarra
  • Bernardo Diniz
  • Guilherme Moreira

Abstract

The recent emphasis on fighting poverty in Brazil makes the determination of the size of the targeted population an important issue (What is the right poverty line? What is the real size of the poor population? How much money should be given to each poor family?). The application of poverty lines based on national income levels tends to produce important distortions at the regional level. Using data from a Household Expenditure Survey (HES) that covered some regions in Brazil, the paper develops and applies a methodology to define poverty lines for all regions and urban areas. These lines are based on nutritional requirements, thus avoiding the purchasing power parity problem, and take into account non-monetary income and in-kind consumption, aspects that are very important at the rural level. The HES results are matched with Census data, allowing for the estimation of rural and urban poverty lines for Brazilian regions.

Suggested Citation

  • Carlos Roberto Azzoni & Fernando Silveira & Alexandre Iwata & Antonio Ibarra & Bernardo Diniz & Guilherme Moreira, 2006. "Estimating Regional Poverty Lines With Scarce Data: An Application to Brazilian Regions," ERSA conference papers ersa06p298, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa06p298
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    References listed on IDEAS

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    1. Ferreira, Francisco H. G. & Paes de Barrios, Ricardo, 1999. "The slippery slope : explaining the increase in extreme poverty in urban Brazil, 1976-96," Policy Research Working Paper Series 2210, The World Bank.
    2. Ferreira, Francisco H. G. & Barros, Ricardo Paes de, 1999. "The Slippery Slope: Explaining The Increase In Extreme Poverty In Urban Brazil, 1976-1996," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 19(2), November.
    3. Chen, Xiaoheng & Conley, Timothy G., 2001. "A new semiparametric spatial model for panel time series," Journal of Econometrics, Elsevier, vol. 105(1), pages 59-83, November.
    4. Francisco de Hollanda Guimarães Ferreira & Ricardo Paes de Barros, 1999. "The slippery slope: explaining the increase in extreme poverty in urban Brazil, 1976-1996," Textos para discussão 404, Department of Economics PUC-Rio (Brazil).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • R29 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other

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