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Moral Hazard and Benefits Consumption Capital in Program Overlap: The Case of Workers' Compensation

Author

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  • Butler, Richard J.
  • Gardner, Harold H.

Abstract

In this paper we review and extend the analysis of moral hazard response in two relatively unexamined empirical directions: (1) how insurance changes in one program affects employee participation in other programs at a point in time ( inter-program moral hazard ), and (2) how the consumption of program benefits now tends to affect employees behavior over time ( benefits consumption capital ). We develop a formal model of inter-program moral hazard based on workers' compensation with programs overlapping it (including sick leave, health insurance, and unemployment insurance), and review evidence concerning this overlap response. We also provide new evidence on benefits consumption capital concerning workers' compensation using data from one large private employer in the US.

Suggested Citation

  • Butler, Richard J. & Gardner, Harold H., 2011. "Moral Hazard and Benefits Consumption Capital in Program Overlap: The Case of Workers' Compensation," Foundations and Trends(R) in Microeconomics, now publishers, vol. 5(8), pages 477-528, April.
    • Handle: RePEc:now:fntmic:0700000037
    DOI: 10.1561/0700000037
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    Cited by:

    1. Said Edaich & Roman Śmietanski, 2020. "Islamic Microfinance Model and the Hypothesis of Poverty Alleviation," European Journal of Marketing and Economics Articles, Revistia Research and Publishing, vol. 3, January -.
    2. Nicolas R. Ziebarth, 2018. "Social Insurance and Health," Contributions to Economic Analysis, in: Health Econometrics, volume 127, pages 57-84, Emerald Group Publishing Limited.
    3. Pichler, Stefan & Ziebarth, Nicolas R., 2024. "Sick Leave and Medical Leave in the United States: A Categorization and Recent Trends," IZA Policy Papers 206, Institute of Labor Economics (IZA).
    4. Lu Jinks & Thomas J. Kniesner & John Leeth & Anthony T. Lo Sasso, 2020. "Opting out of workers’ compensation: Non-subscription in Texas and its effects," Journal of Risk and Uncertainty, Springer, vol. 60(1), pages 53-76, February.

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