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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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Author Info

  • 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.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 43 (2009)
Issue (Month): 8 ()
Pages: 951-961

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Handle: RePEc:taf:applec:v:43:y:2009:i:8:p:951-961

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Cited by:
  1. Francesco Devicienti & Valentina Gualtieri & Mariacristina Rossi, 2010. "The Dynamics and Persistence of Poverty: Evidence from Italy," Carlo Alberto Notebooks 173, Collegio Carlo Alberto.
  2. Maasoumi, Esfandiar & Lugo, Maria, 2006. "The Information Basis of Multivariate Poverty Assessments," Departmental Working Papers 0603, Southern Methodist University, Department of Economics.
  3. 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.
  4. 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.
  5. 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.

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