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Disentangling moral hazard and adverse selection in private health insurance

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  • Powell, David
  • Goldman, Dana

Abstract

Moral hazard and adverse selection create inefficiencies in private health insurance markets and understanding the relative importance of each factor is critical for addressing these inefficiencies. We use claims data from a large firm which changed health insurance plan options to isolate moral hazard from plan selection, estimating a discrete choice model to predict household plan preferences and attrition. Variation in plan preferences identifies the differential causal impact of each health insurance plan on the entire distribution of medical expenditures. Our estimates imply that 53% of the additional medical spending observed in the most generous plan in our data relative to the least generous is due to adverse selection. We find that quantifying adverse selection by using prior medical expenditures overstates the true magnitude of selection due to mean reversion. We also statistically reject that individual health care consumption responds solely to the end-of-the-year marginal price.

Suggested Citation

  • Powell, David & Goldman, Dana, 2021. "Disentangling moral hazard and adverse selection in private health insurance," Journal of Econometrics, Elsevier, vol. 222(1), pages 141-160.
  • Handle: RePEc:eee:econom:v:222:y:2021:i:1:p:141-160
    DOI: 10.1016/j.jeconom.2020.07.030
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    3. Hossein Kavand & Marcel Voia, 2018. "Estimation of Health Care Demand and its Implication on Income Effects of Individuals," Springer Proceedings in Business and Economics, in: William H. Greene & Lynda Khalaf & Paul Makdissi & Robin C. Sickles & Michael Veall & Marcel-Cristia (ed.), Productivity and Inequality, pages 275-304, Springer.
    4. Valizadeh, Pourya & Smith, Travis A., 2018. "Distributional Impacts of WIC on Dietary Quality of Children: Evidence from a Regression Discontinuity Design," 2018 Annual Meeting, August 5-7, Washington, D.C. 273904, Agricultural and Applied Economics Association.
    5. Lamy, Laurent & Patnam, Manasa & Visser, Michael, 2023. "Distinguishing incentive from selection effects in auction-determined contracts," Journal of Econometrics, Elsevier, vol. 235(2), pages 1172-1202.
    6. Chenhao Yu & Huigang Liang & Zhiruo Zhang, 2022. "Does Health Insurance Reduce the Alcohol Consumption? Evidence from China Health and Nutrition Survey," Sustainability, MDPI, vol. 14(9), pages 1-10, May.
    7. Vincenzo Atella & Alberto Holly & Alessandro Mistretta, 2016. "Disentangling Adverse Selection, Moral Hazard and Supply Induced Demand: An Empirical Analysis of The Demand For Healthcare Services," CEIS Research Paper 389, Tor Vergata University, CEIS, revised 31 Oct 2018.
    8. Sengupta, Reshmi & Rooj, Debasis, 2019. "The effect of health insurance on hospitalization: Identification of adverse selection, moral hazard and the vulnerable population in the Indian healthcare market," World Development, Elsevier, vol. 122(C), pages 110-129.
    9. Laurent Lamy & Manasa Patnam & Michael Visser, 2023. "Distinguishing incentive from selection effects in auction-determined contracts," Post-Print hal-04382099, HAL.

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    More about this item

    Keywords

    Price elasticity; Health insurance; Quantile treatment effects; Adverse selection; Moral hazard; Attrition bias; Nonadditive selection model;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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