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Why do we need longitudinal survey data?

Author

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  • Heather Joshi

    (University College London, UK)

Abstract

Information from longitudinal surveys transforms snapshots of a given moment into something with a time dimension. It illuminates patterns of events within an individual’s life and records mobility and immobility between older and younger generations. It can track the different pathways of men and women and people of diverse socio-economic background through the life course. It can join up data on aspects of a person’s life, health, education, family, and employment and show how these domains affect one another. It is ideal for bridging the different silos of policies that affect people’s lives.

Suggested Citation

  • Heather Joshi, 2016. "Why do we need longitudinal survey data?," IZA World of Labor, Institute of Labor Economics (IZA), pages 308-308, November.
    • Handle: RePEc:iza:izawol:journl:y:2016:n:308
    as

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    References listed on IDEAS

    as
    1. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    2. John F. Ermisch & Marco Francesconi, 2001. "Family structure and children's achievements," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(2), pages 249-270.
    3. Corak,Miles (ed.), 2004. "Generational Income Mobility in North America and Europe," Cambridge Books, Cambridge University Press, number 9780521827607.
    4. Bukodi, Erzsébet & Goldthorpe, John H. & Waller, Lorraine & Kuha, Jouni, 2015. "The mobility problem in Britain: new findings from the analysis of birth cohort data," LSE Research Online Documents on Economics 60249, London School of Economics and Political Science, LSE Library.
    5. María del Carmen Huerta & Willem Adema & Jennifer Baxter & Miles Corak & Mette Deding & Matthew C. Gray & Wen-Jui Han & Jane Waldfogel, 2011. "Early Maternal Employment and Child Development in Five OECD Countries," OECD Social, Employment and Migration Working Papers 118, OECD Publishing.
    6. Alissa Goodman & Barbara Sianesi, 2005. "Early education and children's outcomes: low long do the impacts last?," Fiscal Studies, Institute for Fiscal Studies, vol. 26(4), pages 513-548, December.
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    More about this item

    Keywords

    life chances; inequality; mobility; gender; cohort; panel studies;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • I29 - Health, Education, and Welfare - - Education - - - Other

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