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Multidimensional approaches to poverty measurement: an empirical analysis of poverty in Belgium, France, Germany, Italy and Spain, based on the European panel

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  • Conchita D'Ambrosio
  • Joseph Deutsch
  • Jacques Silber

Abstract

This article has three goals. First, we wish to compare three multidimensional approaches to poverty and check to what extent they identify the same households as poor. Second, we aim at better understanding the determinants of poverty by estimating logit regressions with five categories of explanatory variables: size of the household, age of the head of the household, her gender, marital status and status at work. Third, we introduce a decomposition procedure proposed recently in the literature, the so-called Shapley decomposition, in order to determine the exact marginal impact of each of the categories of explanatory variables. Our empirical analysis is based on data made available by the European Community Household Panel (ECHP). We used its third wave and selected five countries: Belgium, France, Germany, Italy and Spain.

Suggested Citation

  • Conchita D'Ambrosio & Joseph Deutsch & Jacques Silber, 2009. "Multidimensional approaches to poverty measurement: an empirical analysis of poverty in Belgium, France, Germany, Italy and Spain, based on the European panel," Applied Economics, Taylor & Francis Journals, vol. 43(8), pages 951-961.
    • Handle: RePEc:taf:applec:v:43:y:2009:i:8:p:951-961
    DOI: 10.1080/00036840802600129
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    References listed on IDEAS

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    1. F. Chantreuil & A. Trannoy, 1999. "Inequality decomposition values : the trade-off between marginality and consistency," THEMA Working Papers 99-24, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    2. Joseph Deutsch & Jacques Silber, 2005. "Measuring Multidimensional Poverty: An Empirical Comparison Of Various Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 145-174, March.
    3. Mercedes Sastre & Alain Trannoy, 2002. "Shapley inequality decomposition by factor components: Some methodological issues," Journal of Economics, Springer, vol. 77(1), pages 51-89, December.
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    Cited by:

    1. Workneh, Migbaru Alamirew, 2018. "Poverty, income inequality and unemployment in Spain in the 2008's Financial Crises," MPRA Paper 92462, University Library of Munich, Germany.
    2. Ramani Gunatilaka & Duangkamon Chotikapanich, 2006. "Inequality Trends and Determinants in Sri Lanka 1980-2002: A Shapley Approach to Decomposition," Monash Econometrics and Business Statistics Working Papers 6/06, Monash University, Department of Econometrics and Business Statistics.
    3. Sieds, 2011. "Complete Volume LXV n.1 2011," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 65(1), pages 1-181.
    4. Esfandiar Maasoumi & Maria Ana Lugo, 2008. "The Information Basis of Multivariate Poverty Assessments," Palgrave Macmillan Books, in: Nanak Kakwani & Jacques Silber (ed.), Quantitative Approaches to Multidimensional Poverty Measurement, chapter 1, pages 1-29, Palgrave Macmillan.
    5. Gunatilaka, Ramani., 2013. "To work or not to work? : Factors holding women back from market work in Sri Lanka," ILO Working Papers 994838403402676, International Labour Organization.
    6. Eisenhauer, Joseph G., 2011. "The rich, the poor, and the middle class: Thresholds and intensity indices," Research in Economics, Elsevier, vol. 65(4), pages 294-304, December.
    7. Workneh, Migbaru Alamirew, 2018. "Unemployment and health in Spain during the 2008's financial crises," MPRA Paper 92525, University Library of Munich, Germany, revised 04 Mar 2019.
    8. repec:ilo:ilowps:483840 is not listed on IDEAS
    9. Francesco Devicienti & Valentina Gualtieri, 2007. "The Dynamics and Persistence of Poverty: Evidence from Italy," LABORatorio R. Revelli Working Papers Series 63, LABORatorio R. Revelli, Centre for Employment Studies.
    10. Maria Ana Lugo & Esfandiar Maasoumi, 2008. "Multidimensional Poverty Measures from an Information Theory Perspective," Working Papers 85, ECINEQ, Society for the Study of Economic Inequality.
    11. Geranda Notten & Keetie Roelen, 2010. "Cross-national comparison of monetary and multidimensional child poverty in the European Union: puzzling with the few pieces that the EUSILC provides," Global Development Institute Working Paper Series 13510, GDI, The University of Manchester.

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