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Accounting for Anticipation Effects: An Application to Medical Malpractice Tort Reform

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  • Anup Malani
  • Julian Reif

Abstract

While conducting empirical work, researchers sometimes observe changes in outcomes before adoption of a new treatment program. The conventional diagnosis is that treatment is endogenous. Observing changes in outcomes prior to treatment is also consistent, however, with anticipation effects. This paper provides a framework for comparing the different methods for estimating anticipation effects and proposes a new set of instrumental variables that can address the problem that subjects' expectations are unobservable. The paper uses this framework to analyze the effect of tort reform on physician supply and finds that accounting for anticipation effects doubles the estimated effect of tort reform.

Suggested Citation

  • Anup Malani & Julian Reif, 2010. "Accounting for Anticipation Effects: An Application to Medical Malpractice Tort Reform," NBER Working Papers 16593, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:16593
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    References listed on IDEAS

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    1. de Figueiredo, Rui J P, Jr & Vanden Bergh, Richard G, 2004. "The Political Economy of State-Level Administrative Procedure Acts," Journal of Law and Economics, University of Chicago Press, vol. 47(2), pages 569-588, October.
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    Cited by:

    1. Yoshino, Naoyuki & Abidhadjaev, Umid, 2017. "An impact evaluation of investment in infrastructure: The case of a railway connection in Uzbekistan," Journal of Asian Economics, Elsevier, vol. 49(C), pages 1-11.
    2. Katherine Baicker & Theodore Svoronos, 2019. "Testing the Validity of the Single Interrupted Time Series Design," CID Working Papers 364, Center for International Development at Harvard University.
    3. Beatrice Brunner & Andreas Kuhn, 2014. "Announcement effects of health policy reforms: evidence from the abolition of Austria’s baby bonus," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(4), pages 373-388, May.
    4. Cristina Hernández-Izquierdo & Beatriz González López-Valcárcel & Stephen Morris & Mariya Melnychuk & Ignacio Abásolo Alessón, 2019. "The effect of a change in co-payment on prescription drug demand in a National Health System: The case of 15 drug families by price elasticity of demand," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-39, March.
    5. Katherine Baicker & Theodore Svoronos, 2019. "Testing the Validity of the Single Interrupted Time Series Design," NBER Working Papers 26080, National Bureau of Economic Research, Inc.
    6. Ity Shurtz, 2014. "Malpractice Law, Physicians' Financial Incentives, and Medical Treatment: How Do They Interact?," Journal of Law and Economics, University of Chicago Press, vol. 57(1), pages 1-29.
    7. Sangeetha Gunasekar & Jayati Sarkar, 2019. "Does Autonomy Matter in State Owned Enterprises? Evidence from Performance Contracts in India," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 27(3), pages 763-800, July.
    8. Sangeetha Gunasekar & Jayati Sarkar, 2014. "Does autonomy matter in state owned enterprises? Evidence from performance contracts in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-034, Indira Gandhi Institute of Development Research, Mumbai, India.
    9. Andrew I. Friedson, 2017. "Medical Malpractice Damage Caps and Provider Reimbursement," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 118-135, January.

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    More about this item

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • K13 - Law and Economics - - Basic Areas of Law - - - Tort Law and Product Liability; Forensic Economics

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