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Poverty and inequality mapping in the Commonwealth of Dominica


  • Francesca Ballini

    (Università di Siena)

  • Gianni Betti

    (Università di Siena)

  • Samuel Carrette

    (Government of the Commonwealth of Dominica)

  • Laura Neri

    (Università di Siena)


Poverty and inequality maps - spatial descriptions of the distribution of poverty and inequality - are most useful to policy-makers and researchers when they are finely disaggregated, that is when they want to represent small geographic units, such as cities, municipalities, districts or other administrative partitions of a country. In order to produce poverty and inequality maps, living standard surveys covering income or consumption are econometrically combined with data from censuses or other sample surveys large enough to allow disaggregation of the poverty and inequality estimates.

Suggested Citation

  • Francesca Ballini & Gianni Betti & Samuel Carrette & Laura Neri, 2009. "Poverty and inequality mapping in the Commonwealth of Dominica," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 0(Special i), pages 123-162.
  • Handle: RePEc:emx:esteco:v:-:y:2009:i:special:p:123-162

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    References listed on IDEAS

    1. Elbers, Chris & Lanjouw, Peter & Leite, Phillippe George, 2008. "Brazil within Brazil : testing the poverty map methodology in Minas Gerais," Policy Research Working Paper Series 4513, The World Bank.
    2. Alessandro Tarozzi & Angus Deaton, 2009. "Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 773-792, November.
    3. Glewwe, Paul, 1992. "Targeting assistance to the poor : Efficient allocation of transfers when household income is not observed," Journal of Development Economics, Elsevier, vol. 38(2), pages 297-321, April.
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    Cited by:

    1. Molina, Isabel & Rao, J.N.K., 2009. "Small area estimation on poverty indicators," DES - Working Papers. Statistics and Econometrics. WS ws091505, Universidad Carlos III de Madrid. Departamento de Estadística.

    More about this item


    poverty mapping; transfer schemes; Commonwealth of Dominica;

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access


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