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Revisiting poverty measures towards individualisation

Author

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  • Danièle Meulders
  • Sile Padraigin O'Dorchai

Abstract

We use the methodology developed in a previous study to individualise all incomes reported in the EU Statistics on Income and Living Conditions (2006) .Based on individual incomes we compute financial dependency rates which are compared with the household-level at-risk-of-poverty rates defined by the EC. The determinants of financial dependency are studied by means of descriptive statistics and by the estimation of bivariate probit regressions for men and women. We cover nine European countries. Finally, four new indicators are proposed to complement the Laeken indicators.

Suggested Citation

  • Danièle Meulders & Sile Padraigin O'Dorchai, 2010. "Revisiting poverty measures towards individualisation," DULBEA Working Papers 10-03.RS, ULB -- Universite Libre de Bruxelles.
    • Handle: RePEc:dul:wpaper:10-03rs
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    Cited by:

    1. Christina Siegert, 2021. "Erwerbsarmut in Österreich aus Geschlechterperspektive," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 47(4), pages 511-535.
    2. Marcella Corsi & Carlo D'Ippoliti, 2013. "Class and gender in Europe, before and during the economic crisis," Working Papers CEB 13-027, ULB -- Universite Libre de Bruxelles.
    3. Irène Berthonnet, 2021. "Where Exactly Does the Sexist Bias in the Official Measurement of Monetary Poverty in Europe Come From?," Post-Print halshs-03176142, HAL.
    4. Irène Berthonnet, 2023. "Where Exactly Does the Sexist Bias in the Official Measurement of Monetary Poverty in Europe Come From?," Review of Radical Political Economics, Union for Radical Political Economics, vol. 55(1), pages 132-146, March.
    5. Lara Maestripieri, 2018. "A Job of One’s Own. Does Women’s Labor Market Participation Influence the Economic Insecurity of Households?," Societies, MDPI, vol. 8(1), pages 1-32, January.

    More about this item

    Keywords

    poverty; gender inequality; individual income; household economics; indicators .;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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