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Randomized Safety Inspections And Risk Exposure On The Job: Quasi-Experimental Estimates Of The Value Of A Statistical Life

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  • Jonathan M. Lee
  • Laura O. Taylor

Abstract

Compensating wages for workplace fatality and accident risks are used to infer the value of a statistical life (VSL), which in turn is used to assess the benefits of human health and safety regulations. The estimation of these wage differentials, however, has been plagued by measurement error and omitted variables. This paper employs the first quasi-experimental design within a labor market setting to overcome such limitations in the ex-tant literature. Specifically, randomly assigned, exogenous federal safety inspections are used to instrument for plant-level risks and combined with confidential U.S. Census data on manufacturing employment to estimate the VSL using a difference-in-differences framework. The VSL is estimated to be between $2 and $4 million ($2011), suggesting prior studies may substantially overstate the value workers place on safety, and therefore, the benefits of health and safety regulations.

Suggested Citation

  • Jonathan M. Lee & Laura O. Taylor, 2014. "Randomized Safety Inspections And Risk Exposure On The Job: Quasi-Experimental Estimates Of The Value Of A Statistical Life," Working Papers 14-05, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:14-05
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    Cited by:

    1. Herrera-Araujo, Daniel & Rochaix, Lise, 2020. "Does the Value per Statistical Life vary with age or baseline health? Evidence from a compensating wage study in France," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    2. Ling Li & Perry Singleton, 2021. "The Effect of Industrial Robots on Workplace Safety," Center for Policy Research Working Papers 239, Center for Policy Research, Maxwell School, Syracuse University.
    3. Gianmarco León & Edward Miguel, 2017. "Risky Transportation Choices and the Value of a Statistical Life," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 202-228, January.
    4. Colmer, Jonathan & Voorheis, John, 2020. "The grandkids aren't alright: the intergenerational effects of prenatal pollution exposure," LSE Research Online Documents on Economics 108495, London School of Economics and Political Science, LSE Library.
    5. Nicolai V. Kuminoff, 2018. "Can Understanding Spatial Equilibria Enhance Benefit Transfers for Environmental Policy Evaluation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 591-608, March.
    6. Ketcham, Jonathan & Kuminoff, Nicolai & Saha, Nirman, 2023. "Valuing Statistical Life Using Seniors' Medical Spending," RFF Working Paper Series 23-16, Resources for the Future.
    7. Kathleen Segerson & Catherine L. Kling & Nancy E. Bockstael, 2022. "Contributions of women at the intersection of agricultural economics and environmental and natural resource economics," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 38-53, March.
    8. Gabriele Curci & Domenico Depalo & Alessandro Palma, 2023. "The Dirtier You Breathe, The Less Safe You Are. The Effect of Air Pollution on Work Accidents," CEIS Research Paper 554, Tor Vergata University, CEIS, revised 24 May 2023.
    9. Castañeda Dower, Paul & Markevich, Andrei & Weber, Shlomo, 2021. "The value of a statistical life in a dictatorship: Evidence from Stalin," European Economic Review, Elsevier, vol. 133(C).
    10. Sam Desiere & Christian Walker, 2023. "The Shift Premium: Evidence From A Discrete Choice Experiment," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1074, Ghent University, Faculty of Economics and Business Administration.
    11. Matthew S. Johnson & Daniel Schwab & Patrick Koval, 2022. "Legal Protection Against Retaliatory Firing Improves Workplace Safety," Working Papers 2203, College of the Holy Cross, Department of Economics.
    12. Hammitt, James K. & Treich, Nicolas, 2021. "Fatality Risk Regulation," TSE Working Papers 21-1177, Toulouse School of Economics (TSE).
    13. Bishop, Kelly C. & Kuminoff, Nicolai V. & Mathes, Sophie M. & Murphy, Alvin D., 2024. "The marginal cost of mortality risk reduction: Evidence from housing markets," Journal of Urban Economics, Elsevier, vol. 139(C).
    14. Anelli, Massimo & Koenig, Felix, 2021. "Willingness to Pay for Workplace Safety," IZA Discussion Papers 14919, Institute of Labor Economics (IZA).
    15. Joseph Richardson, 2023. "Health Risks and Labour Supply," Working Papers 379420583, Lancaster University Management School, Economics Department.
    16. Cropper, Maureen L. & Joiner, Emily & Krupnick, Alan, 2023. "Revisiting the Environmental Protection Agency's Value of a Statistical Life," RFF Working Paper Series 23-30, Resources for the Future.
    17. Aldy, Joseph E. & Atkinson, Giles & Kotchen, Matthew J., 2021. "Environmental benefit-cost analysis: a comparative analysis between the United States and the United Kingdom," LSE Research Online Documents on Economics 110879, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    value of a statistical life; hedonic wage models; OSHA; quasi-experiment;
    All these keywords.

    JEL classification:

    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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