IDEAS home Printed from https://ideas.repec.org/p/war/wpaper/2011-23.html
   My bibliography  Save this paper

Multidimensional poverty analysis in Polish gminas

Author

Listed:
  • Marta Anacka

    (Faculty of Economic Sciences, University of Warsaw)

  • Martyna Kobus

    (Faculty of Economic Sciences, University of Warsaw)

Abstract

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
    as

    Download full text from publisher

    File URL: http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP63.pdf
    File Function: First version, 2011
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sabina Alkire, Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers 38, Queen Elizabeth House, University of Oxford.
    2. 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.
    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. 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.
    5. A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(2), pages 183-201.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Duclos, Jean-Yves & Sahn, David & Younger, Stephen D., 2003. "Polarization: Robust Multidimensional Poverty Comparisons," Cahiers de recherche 0304, CIRPEE.
    2. Christophe Muller & Asha Kannan & Roland Alcindor, 2016. "Multidimensional Poverty in Seychelles," Working Papers halshs-01264444, HAL.
    3. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    4. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2020. "Bayesian assessment of Lorenz and stochastic dominance," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(2), pages 767-799, May.
    5. M. Azhar Hussain & Nikolaj Siersbæk & Lars Peter Østerdal, 2020. "Multidimensional welfare comparisons of EU member states before, during, and after the financial crisis: a dominance approach," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 55(4), pages 645-686, December.
    6. Benoît Tarroux, 2012. "Are equalization payments making Canadians better off? A two-dimensional dominance answer," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(1), pages 19-44, March.
    7. Stephen P. Jenkins & John Micklewright, 2007. "New Directions in the Analysis of Inequality and Poverty," Discussion Papers of DIW Berlin 700, DIW Berlin, German Institute for Economic Research.
    8. Gaston Yalonetzky, 2014. "Conditions for the most robust multidimensional poverty comparisons using counting measures and ordinal variables," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(4), pages 773-807, December.
    9. David Lander & David Gunawan & William E. Griffiths & Duangkamon Chotikapanich, 2016. "Bayesian Assessment of Lorenz and Stochastic Dominance Using a Mixture of Gamma Densities," Department of Economics - Working Papers Series 2023, The University of Melbourne.
    10. Arndt, Channing & Mahrt, Kristi & Hussain, M. Azhar & Tarp, Finn, 2018. "A human rights-consistent approach to multidimensional welfare measurement applied to sub-Saharan Africa," World Development, Elsevier, vol. 108(C), pages 181-196.
    11. Nicolas Gravel & Patrick Moyes & Benoît Tarroux, 2009. "Robust International Comparisons of Distributions of Disposable Income and Regional Public Goods," Economica, London School of Economics and Political Science, vol. 76(303), pages 432-461, July.
    12. Gravel, Nicolas & Moyes, Patrick, 2012. "Ethically robust comparisons of bidimensional distributions with an ordinal attribute," Journal of Economic Theory, Elsevier, vol. 147(4), pages 1384-1426.
    13. Ian Crawford, 2005. "A nonparametric test of stochastic dominance in multivariate distributions," School of Economics Discussion Papers 1205, School of Economics, University of Surrey.
    14. Nicolas Gravel & Abhiroop Mukhopadhyay, 2010. "Is India better off today than 15 years ago? A robust multidimensional answer," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(2), pages 173-195, June.
    15. Nicolas Gravel & Patrick Moyes, 2006. "Ethically Robust Comparisons of Distributions of Two Individual Attributes," IDEP Working Papers 0605, Institut d'economie publique (IDEP), Marseille, France, revised Aug 2006.
    16. Rolf Aaberge & Andrea Brandolini, 2014. "Multidimensional poverty and inequality," Temi di discussione (Economic working papers) 976, Bank of Italy, Economic Research and International Relations Area.
    17. Kshitij Chaudhary, 2015. "The effect of political decentralisation and affirmative action on Multidimensional Poverty Index: evidence from Indian States," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 17(1), pages 27-49, April.
    18. LABAR, Kelly & BRESSON, Florent, 2011. "A multidimensional analysis of poverty in China from 1991 to 2006," China Economic Review, Elsevier, vol. 22(4), pages 646-668.
    19. Diego Battiston & Guillermo Cruces & Luis Lopez-Calva & Maria Lugo & Maria Santos, 2013. "Income and Beyond: Multidimensional Poverty in Six Latin American Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 291-314, June.
    20. Francesco Burchi & Nicole Rippin & Claudio E. Montenegro, 2018. "From income poverty to multidimensional poverty—an international comparison," One Pager Arabic 400, International Policy Centre for Inclusive Growth.

    More about this item

    Keywords

    multidimensional poverty; stochastic dominance; rural and urban poverty;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:war:wpaper:2011-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marcin Bąba (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.