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Measuring the intergenerational correlation of worklessness

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  • Lindsey Macmillan

Abstract

This research uses the vast developments in the measurement of the intergenerational earnings mobility correlation over the past twenty years to explore the issues surrounding the measurement of the intergenerational correlation of worklessness. The correlation is estimated for a range of data sources. The role of conventional biases, measurement error and life-cycle bias, are considered in this context. An additional bias driven by local labour market conditions is introduced. For the UK, this correlation is moderate with large economic implications. Measurement error takes a different form to that commonly observed in the mobility literature but does not appear to play a substantial role in this story. In contrast to the mobility literature, life-cycle bias may not be playing a role either. Instead, there appears to be an additional bias driven by local labour market conditions at the time of measurement that should be considered when measuring intergenerational worklessness.

Suggested Citation

  • Lindsey Macmillan, 2011. "Measuring the intergenerational correlation of worklessness," The Centre for Market and Public Organisation 11/278, The Centre for Market and Public Organisation, University of Bristol, UK.
    • Handle: RePEc:bri:cmpowp:11/278
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    File URL: http://www.bristol.ac.uk/cmpo/publications/papers/2011/wp278.pdf
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    References listed on IDEAS

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    6. Gottschalk, Peter, 1996. "Is the correlation in welfare participation across generations spurious?," Journal of Public Economics, Elsevier, vol. 63(1), pages 1-25, December.
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    8. AIGNER, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," LIDAM Reprints CORE 130, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Cited by:

    1. Ben Baumberg Geiger, 2016. "Benefit ‘myths’? The accuracy and inaccuracy of public beliefs about the benefits system," CASE Papers /199, Centre for Analysis of Social Exclusion, LSE.
    2. Gabriela Galassi & David Koll & Lukas Mayr, 2019. "The Intergenerational Correlation of Employment: Is There a Role for Work Culture?," Staff Working Papers 19-33, Bank of Canada.
    3. Galassi, Gabriela & Koll, David & Mayr, Lukas, 2019. "The Intergenerational Correlation of Employment: Is There a Role for Work Culture?," IZA Discussion Papers 12595, Institute of Labor Economics (IZA).
    4. Lindsey Macmillan, 2013. "The role of non-cognitive and cognitive skills, behavioural and educational outcomes in accounting for the intergenerational transmission of worklessness," DoQSS Working Papers 13-01, Quantitative Social Science - UCL Social Research Institute, University College London.
    5. Michael Sanders & Elspeth Kirkman, 2019. "I've booked you a place, good luck: A field experiment applying behavioral science to improve attendance at high impact recruitment events," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 2(1).

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    More about this item

    Keywords

    Intergenerational mobility; unemployment;

    JEL classification:

    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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