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Measurement Error in Income and Schooling and the Bias of Linear Estimators

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  • Paul Bingley
  • Alessandro Martinello

Abstract

We propose a general framework for determining the extent of measurement error bias in ordinary least squares and instrumental variable (IV) estimators of linear models while allowing for measurement error in the validation source. We apply this method by validating Survey of Health, Ageing and Retirement in Europe data with Danish administrative registers. Contrary to most validation studies, we find that measurement error in income is classical once we account for imperfect validation data. We find nonclassical measurement error in schooling, causing a 38% amplification bias in IV estimators of the returns, with important implications for the program evaluation literature.

Suggested Citation

  • Paul Bingley & Alessandro Martinello, 2017. "Measurement Error in Income and Schooling and the Bias of Linear Estimators," Journal of Labor Economics, University of Chicago Press, vol. 35(4), pages 1117-1148.
    • Handle: RePEc:ucp:jlabec:doi:10.1086/692539
    DOI: 10.1086/692539
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    Cited by:

    1. Christian vom Lehn & Cache Ellsworth & Zachary Kroff, 2022. "Reconciling Occupational Mobility in the Current Population Survey," Journal of Labor Economics, University of Chicago Press, vol. 40(4), pages 1005-1051.
    2. Mathias Huebener, 2017. "Intergenerational Effects of Education on Risky Health Behaviours and Long-Term Health," Discussion Papers of DIW Berlin 1709, DIW Berlin, German Institute for Economic Research.
    3. Ha Trong Nguyen & Huong Thu Le & Luke Connelly & Francis Mitrou, 2023. "Accuracy of self‐reported private health insurance coverage," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2709-2729, December.
    4. Banks, James & Brugiavini, Agar & Pasini, Giacomo, 2020. "The powerful combination of cross-country comparisons and life-history data," The Journal of the Economics of Ageing, Elsevier, vol. 16(C).
    5. Angelini, Viola & Bertoni, Marco & Stella, Luca & Weiss, Christoph T., 2019. "The ant or the grasshopper? The long-term consequences of Unilateral Divorce Laws on savings of European households," European Economic Review, Elsevier, vol. 119(C), pages 97-113.
    6. Zachary Ward, 2023. "Intergenerational Mobility in American History: Accounting for Race and Measurement Error," American Economic Review, American Economic Association, vol. 113(12), pages 3213-3248, December.
    7. Michele Lalla & Maddalena Cavicchioli, 2020. "Nonresponse and measurement errors in income: matching individual survey data with administrative tax data," Department of Economics 0170, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    8. McInnis, Nicardo, 2023. "Long-term health effects of childhood parental income," Social Science & Medicine, Elsevier, vol. 317(C).
    9. Jordy Meekes & Wolter H. J. Hassink, 2023. "Endogenous local labour markets, regional aggregation and agglomeration economies," Regional Studies, Taylor & Francis Journals, vol. 57(1), pages 13-25, January.
    10. Breunig, Christoph & Haan, Peter, 2021. "Nonparametric regression with selectively missing covariates," Journal of Econometrics, Elsevier, vol. 223(1), pages 28-52.
    11. Crossley, Thomas F. & Fisher, Paul & Hussein, Omar, 2023. "Assessing data from summary questions about earnings and income," Labour Economics, Elsevier, vol. 81(C).
    12. Emma Gorman & Colm Harmon & Silvia Mendolia & Anita Staneva & Ian Walker, 2019. "The Causal Effects of Adolescent School Bullying Victimisation on Later Life Outcomes," Working Papers 2019-019, Human Capital and Economic Opportunity Working Group.
    13. Adam Bee & Joshua Mitchell & Nikolas Mittag & Jonathan Rothbaum & Carl Sanders & Lawrence Schmidt & Matthew Unrath, 2023. "National Experimental Wellbeing Statistics - Version 1," Working Papers 23-04, Center for Economic Studies, U.S. Census Bureau.
    14. Jenkins, Stephen P. & Rios-Avila, Fernando, 2021. "Reconciling Reports: Modelling Employment Earnings and Measurement Errors Using Linked Survey and Administrative Data," IZA Discussion Papers 14405, Institute of Labor Economics (IZA).
    15. De Neve, Jan-Walter & Fink, Günther, 2018. "Children’s education and parental old age survival – Quasi-experimental evidence on the intergenerational effects of human capital investment," Journal of Health Economics, Elsevier, vol. 58(C), pages 76-89.
    16. Dupraz, Yannick & Ferrara, Andreas, 2021. "Fatherless: The Long-Term Effects of Losing a Father in the U.S. Civil War," CAGE Online Working Paper Series 538, Competitive Advantage in the Global Economy (CAGE).
    17. Emma Gorman & Colm Harmon & Silvia Mendolia & Anita Staneva & Ian Walker, 2021. "Adolescent School Bullying Victimization and Later Life Outcomes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 1048-1076, August.
    18. Diaz-Serrano, Luis & Nilsson, William, 2022. "The reliability of students’ earnings expectations," Labour Economics, Elsevier, vol. 76(C).
    19. Schiltz, Fritz & Mazrekaj, Deni & Horn, Daniel & De Witte, Kristof, 2019. "Does it matter when your smartest peers leave your class? Evidence from Hungary," Labour Economics, Elsevier, vol. 59(C), pages 79-91.
    20. Paul Fisher & Omar Hussein, 2023. "Understanding Society: the income data," Fiscal Studies, John Wiley & Sons, vol. 44(4), pages 377-397, December.
    21. Ana Cinta G. Cabral & Norman Gemmell & Nazila Alinaghi, 2021. "Are survey-based self-employment income underreporting estimates biased? New evidence from matched register and survey data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(2), pages 284-322, April.
    22. Christoph Breunig & Peter Haan, 2018. "Nonparametric Regression with Selectively Missing Covariates," Papers 1810.00411, arXiv.org, revised Oct 2020.
    23. Clark, Damon, 2023. "School quality and the return to schooling in Britain: New evidence from a large-scale compulsory schooling reform," Journal of Public Economics, Elsevier, vol. 223(C).

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