IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/23847.html
   My bibliography  Save this paper

Recall error and recall bias in life course epidemiology

Author

Listed:
  • Tampubolon, Gindo

Abstract

OBJECTIVES I propose a distinction between recall error and recall bias and examine the the effect of childhood financial hardship on adult health, subject to such recall problems. Studying the effect of childhood hardship on adult health is a prototypical investigation in life course studies where both non-clinical factors and long-duration processes are at play in determining health outcome. These factors and processes are often elicited retrospectively. Unfortunately, retrospective information on childhood hardship is often subject to recall error and recall bias. There is surprisingly little methodological work on how to purge their effects in retrospective life course studies. METHODS I recast a variant of generalised latent variable models as covariate error measurement model to purge recall error in life course study. Additionally, I recast the endogeneous treatment model as a solution to the problem of recall bias. I apply both models to examine the effect of childhood financial hardship on adult health status of more than 359,000 European respondents from 23 countries. In addition, I validate the solutions using the National Child Development Study cohort where both prospective and restrospective information are available. RESULTS Childhood financial hardship has a strong effect on adult health status. Once recall error is accounted for in a generalised latent variable model, the effect reduced by an order of magnitude though remain statistically significant. Applying the endogeneous treatment model of recall bias suggests that childhood hardship is systematically misreported by respondents. Once this bias is purged, the effect of childhood deprivation on adult health increased markedly. Such an increase is consistent with multiple direct and indirect pathways linking childhood hardship and adult health. CONCLUSION Problems of recall error and recall bias are common in life course retrospective studies. Applied to data from 23 European countries, the proposed solutions recover the effect of childhood hardship on adult health outcome.

Suggested Citation

  • Tampubolon, Gindo, 2010. "Recall error and recall bias in life course epidemiology," MPRA Paper 23847, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:23847
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/23847/1/MPRA_paper_23847.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Case, Anne & Fertig, Angela & Paxson, Christina, 2005. "The lasting impact of childhood health and circumstance," Journal of Health Economics, Elsevier, vol. 24(2), pages 365-389, March.
    2. Berney, L. R. & Blane, D. B., 1997. "Collecting retrospective data: Accuracy of recall after 50 years judged against historical records," Social Science & Medicine, Elsevier, vol. 45(10), pages 1519-1525, November.
    3. Holland, P. & Berney, L. & Blane, D. & Davey Smith, G. & Gunnell, D. J. & Montgomery, S. M., 2000. "Life course accumulation of disadvantage: childhood health and hazard exposure during adulthood," Social Science & Medicine, Elsevier, vol. 50(9), pages 1285-1295, May.
    4. Szanton, Sarah L. & Thorpe, Roland J. & Whitfield, Keith, 2010. "Life-course financial strain and health in African-Americans," Social Science & Medicine, Elsevier, vol. 71(2), pages 259-265, July.
    5. Glewwe, Paul & Jacoby, Hanan G. & King, Elizabeth M., 2001. "Early childhood nutrition and academic achievement: a longitudinal analysis," Journal of Public Economics, Elsevier, vol. 81(3), pages 345-368, September.
    6. Anders Skrondal & Sophia Rabe-Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(4), pages 712-745.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    recall bias; generalised latent variable model; life course; childhood hardship; European Survey of Income and Living Conditions; EUSILC; NCDS;

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:23847. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.