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Early-life circumstances and late-life income

Author

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  • Paccagnella, Omar
  • Garrouste, Christelle

Abstract

This paper aims at evaluating and comparing across European countries the influence of early-life circumstances, like childhood disparities and educational attainments, on incomes in later life. Using life-history data from SHARELIFE, country-specific structural relationships among childhood socio-economic status, education and incomes at the first and the last job are investigated by means of recursive models, controlling for individual covariates. Poorer childhood socio-economic conditions are associated with higher differentials in years of full-time education and higher income inequalities. The extent of these results varies across countries.

Suggested Citation

  • Paccagnella, Omar & Garrouste, Christelle, 2012. "Early-life circumstances and late-life income," MPRA Paper 49506, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:49506
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    References listed on IDEAS

    as
    1. Pascual, Marta, 2009. "Intergenerational income mobility: The transmission of socio-economic status in Spain," Journal of Policy Modeling, Elsevier, vol. 31(6), pages 835-846, November.
    2. Cavapozzi, Danilo & Garrouste, Christelle & Paccagnella, Omar, 2010. "Childhood, Schooling and Income Inequality," MPRA Paper 28729, University Library of Munich, Germany.
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    Cited by:

    1. Martina Celidoni & Chiara Dal Bianco & Guglielmo Weber, 2013. "Early retirement and cognitive decline. A longitudinal analysis using SHARE data," "Marco Fanno" Working Papers 0174, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Manuel Flores & Adriaan Kalwij, 2014. "The associations between early life circumstances and later life health and employment in Europe," Empirical Economics, Springer, vol. 47(4), pages 1251-1282, December.
    3. Bassetti, Thomas & Rebba, Vincenzo, 2015. "Getting to the Roots of Long-Term Care Needs: A Regression Tree Analysis," MPRA Paper 66167, University Library of Munich, Germany.

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    More about this item

    Keywords

    Ageing; childhood conditions; income; recursive model;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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