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Adjusting for Measurement Error in Retrospectively Reported Work Histories: An Analysis Using Swedish Register Data

Author

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  • Pina-Sánchez Jose

    (School of Law, University of Leeds, Leeds, LS2 9JT, United Kingdom.)

  • Koskinen Johan

    (Social Statistics, University of Manchester, Manchester, M13 9PL, United Kingdom.)

  • Plewis Ian

    (Social Statistics, University of Manchester, Manchester, M13 9PL, United Kingdom.)

Abstract

We use work histories retrospectively reported and matched to register data from the Swedish unemployment office to assess: 1) the prevalence of measurement error in reported spells of unemployment; 2) the impact of using such spells as the response variable of an exponential model; and 3) strategies for the adjustment of the measurement error. Due to the omission or misclassification of spells in work histories we cannot carry out typical adjustments for memory failures based on multiplicative models. Instead we suggest an adjustment method based on a mixture Bayesian model capable of differentiating between misdated spells and those for which the observed and true durations are unrelated. This adjustment is applied in two manners, one assuming access to a validation subsample and another relying on a strong prior for the mixture mechanism. Both solutions demonstrate a substantial reduction in the vast biases observed in the regression coefficients of the exponential model when survey data is used.

Suggested Citation

  • Pina-Sánchez Jose & Koskinen Johan & Plewis Ian, 2019. "Adjusting for Measurement Error in Retrospectively Reported Work Histories: An Analysis Using Swedish Register Data," Journal of Official Statistics, Sciendo, vol. 35(1), pages 203-229, March.
    • Handle: RePEc:vrs:offsta:v:35:y:2019:i:1:p:203-229:n:10
    DOI: 10.2478/jos-2019-0010
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    References listed on IDEAS

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    1. Andrew Pickles & Kevin Pickering & Colin Taylor, 1996. "Reconciling Recalled Dates of Developmental Milestones, Events and Transitions: A Mixed Generalized Linear Model with Random Mean and Variance Functions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(2), pages 225-234, March.
    2. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    3. Anna Manzoni & Ruud Luijkx & Ruud Muffels, 2011. "Explaining differences in labour market transitions between panel and life-course data in West-Germany," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 241-261, February.
    4. Mathiowetz, Nancy A & Duncan, Greg J, 1988. "Out of Work, Out of Mind: Response Errors in Retrospective Reports of Unemployment," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(2), pages 221-229, April.
    5. Kettunen, Juha, 1997. "Education and unemployment duration," Economics of Education Review, Elsevier, vol. 16(2), pages 163-170, April.
    6. Brownstone, David & Valletta, Robert G, 1996. "Modeling Earnings Measurement Error: A Multiple Imputation Approach," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 705-717, November.
    7. Gillian Paull, 2002. "Biases in the reporting of labour market dynamics," IFS Working Papers W02/10, Institute for Fiscal Studies.
    8. Gebrenegus Ghilagaber & Johan Koskinen, 2009. "Bayesian Adjustment of Anticipatory Covariates in Analyzing Retrospective Data," Mathematical Population Studies, Taylor & Francis Journals, vol. 16(2), pages 105-130.
    9. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-956, July.
    10. 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.
    11. Heike Solga, 2001. "Longitudinal Surveys and the Study of Occupational Mobility: Panel and Retrospective Design in Comparison," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(3), pages 291-309, August.
    12. Paul Glewwe, 2007. "Measurement Error Bias in Estimates of Income and Income Growth among the Poor: Analytical Results and a Correction Formula," Economic Development and Cultural Change, University of Chicago Press, vol. 56(1), pages 163-189, October.
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