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Biases in the reporting of labour market dynamics

Author

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  • Gillian Paull

    (Institute for Fiscal Studies)

Abstract

Correctly measuring individual dynamics in labour market behaviour has become increasingly important as research and policy attention has become more focused on the relationships between current employment opportunities and past experience. Surveys collecting information on labour market histories use repeated interviews and retrospective reporting, laying the resulting data open to potential biases from spurious transitions due to random measurement errors and from systematic recall error. This paper uses a unique data opportunity provided by the British Household Panel Survey to systematically investigate the impact of recall on measured labour market behaviour and to highlight how and to what degree the biases in the reported data may affect the estimation of models of labour market dynamics. The results allow analysts to judge whether conclusions drawn from such models are likely to be compromised by the reporting biases.

Suggested Citation

  • Gillian Paull, 2002. "Biases in the reporting of labour market dynamics," IFS Working Papers W02/10, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:ifsewp:02/10
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    File URL: http://www.ifs.org.uk/wps/wp0210.pdf
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    References listed on IDEAS

    as
    1. Poterba, James M & Summers, Lawrence H, 1995. "Unemployment Benefits and Labor Market Transitions: A Multinomial Logit Model with Errors in Classification," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 207-216, May.
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    More about this item

    JEL classification:

    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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