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Early-life circumstances and late-life income

Author

Listed:
  • Omar Paccagnella
  • Christelle Garrouste

    (JRC - European Commission - Joint Research Centre [Ispra])

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 socioeconomic status, education and incomes at the first and the last job are investigated by means of recursive models, controlling for individual covariates. Poorer childhood socioeconomic 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

  • Omar Paccagnella & Christelle Garrouste, 2012. "Early-life circumstances and late-life income," Post-Print hal-03245161, HAL.
    • Handle: RePEc:hal:journl:hal-03245161
    Note: View the original document on HAL open archive server: https://hal.science/hal-03245161
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    References listed on IDEAS

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    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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