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Multidimensional poverty analysis in Polish gminas


  • Marta Anacka

    () (Faculty of Economic Sciences, University of Warsaw)

  • Martyna Kobus

    () (Faculty of Economic Sciences, University of Warsaw)


In this paper we present the results of multidimensional poverty analysis in five Polish gminas: Zgierz, Gliwice, Gostyń, Małogoszcz and Manowo. Income and educational attainment are two dimensions of well-being we consider. The analysis is based on the concept of stochastic dominance known in the literature on decision making under uncertainty. In two out of ten cases bidimensional comparisons help to remove inconclusiveness that arises with unidimensional comparisons. Moreover, bidimensional approach indicates that Gostyń dominates other communities in terms of well-being (lack of poverty), which would be impossible to be revealed by unidimensional analysis only. This is due to low correlation of income and years of education. Association between variables is a distinctive feature of multidimensional analysis as opposed to comparing marginal distributions only (dimension by dimension separately). It means that it is less possible in Gostyń than in other gminas to be deprived in both dimensions. We also find a pattern that already emerged in other multidimensional results (Duclos, Sahn and Younger, 2006): multidimensional poverty can be greater in cities (Gliwice) than in areas that are at least partially rural (Gostyń).

Suggested Citation

  • Marta Anacka & Martyna Kobus, 2011. "Multidimensional poverty analysis in Polish gminas," Working Papers 2011-23, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2011-23

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    References listed on IDEAS

    1. Peter Jensen & Helena Skyt Nielsen, 1997. "Child labour or school attendance? Evidence from Zambia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 10(4), pages 407-424.
    2. Sabina Alkire and Maria Emma Santos, "undated". "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers ophiwp038, Queen Elizabeth House, University of Oxford.
    3. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    4. A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," Review of Economic Studies, Oxford University Press, vol. 49(2), pages 183-201.
    5. Jörg-Peter Schräpler, 2006. "Explaining Income Nonresponse – A Case Study by means of the British Household Panel Study (BHPS)," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(6), pages 1013-1036, December.
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    More about this item


    multidimensional poverty; stochastic dominance; rural and urban poverty;

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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