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Interpreting pre-trends as anticipation: Impact on estimated treatment effects from tort reform

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  • Malani, Anup
  • Reif, Julian

Abstract

While conducting empirical work, researchers sometimes observe changes in outcomes before adoption of a new policy. The conventional diagnosis is that treatment is endogenous. This observation is also consistent, however, with anticipation effects that arise naturally out of many theoretical models. This paper illustrates that distinguishing endogeneity from anticipation matters greatly when estimating treatment effects. It provides a framework for comparing different methods for estimating anticipation effects and proposes a new set of instrumental variables to address the problem that subjects' expectations are unobservable. Finally, this paper examines a specific set of tort reforms that was not targeted at physicians but was likely anticipated by them. Interpreting pre-trends as evidence of anticipation increases the estimated effect of these reforms by a factor of two compared to a model that ignores anticipation.

Suggested Citation

  • Malani, Anup & Reif, Julian, 2015. "Interpreting pre-trends as anticipation: Impact on estimated treatment effects from tort reform," Journal of Public Economics, Elsevier, vol. 124(C), pages 1-17.
  • Handle: RePEc:eee:pubeco:v:124:y:2015:i:c:p:1-17
    DOI: 10.1016/j.jpubeco.2015.01.001
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    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. McCallum, Bennett T, 1976. "Rational Expectations and the Natural Rate Hypothesis: Some Consistent Estimates," Econometrica, Econometric Society, vol. 44(1), pages 43-52, January.
    5. Anderson, Soren T. & Kellogg, Ryan & Sallee, James M., 2013. "What do consumers believe about future gasoline prices?," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 383-403.
    6. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    7. Bhattacharya, Jayanta & Vogt, William B, 2003. "A Simple Model of Pharmaceutical Price Dynamics," Journal of Law and Economics, University of Chicago Press, vol. 46(2), pages 599-626, October.
    8. Karel Mertens & Morten Overgaard Ravn, 2011. "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 27-54, January.
    9. Ronen Avraham, 2007. "An Empirical Study of the Impact of Tort Reforms on Medical Malpractice Settlement Payments," The Journal of Legal Studies, University of Chicago Press, vol. 36(S2), pages 183-229, June.
    10. Patricia Born & W. Kip Viscusi & Tom Baker, 2009. "The Effects of Tort Reform on Medical Malpractice Insurers' Ultimate Losses," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(1), pages 197-219, March.
    11. Michael Clemens & Samuel Bazzi, 2009. "Blunt Instruments: On Establishing the Causes of Economic Growth," Working Papers 171, Center for Global Development.
    12. James M. Poterba, 1984. "Tax Subsidies to Owner-Occupied Housing: An Asset-Market Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 99(4), pages 729-752.
    13. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    14. Kathryn Zeiler & Charles Silver & Bernard Black & David A. Hyman & William M. Sage, 2007. "Physicians' Insurance Limits and Malpractice Payments: Evidence from Texas Closed Claims, 1990-2003," The Journal of Legal Studies, University of Chicago Press, vol. 36(S2), pages 9-45, June.
    15. Doran, Howard E. & Schmidt, Peter, 2006. "GMM estimators with improved finite sample properties using principal components of the weighting matrix, with an application to the dynamic panel data model," Journal of Econometrics, Elsevier, vol. 133(1), pages 387-409, July.
    16. Jonathan Gruber & Botond Köszegi, 2001. "Is Addiction "Rational"? Theory and Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1261-1303.
    17. Daron Acemoglu & Joshua Linn, 2004. "Market Size in Innovation: Theory and Evidence from the Pharmaceutical Industry," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 1049-1090.
    18. Ayers, Benjamin C & Cloyd, C Bryan & Robinson, John R, 2005. ""Read My Lips . . .": Does the Tax Rhetoric of Presidential Candidates Affect Security Prices?," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 125-148, April.
    19. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    20. Phillips, Peter C B & Park, Joon Y, 1988. "On the Formulation of Wald Tests of Nonlinear Restrictions," Econometrica, Econometric Society, vol. 56(5), pages 1065-1083, September.
    21. Jonathan Klick & Thomas Stratmann, 2007. "Medical Malpractice Reform and Physicians in High-Risk Specialties," The Journal of Legal Studies, University of Chicago Press, vol. 36(S2), pages 121-142, June.
    22. Saul Pleeter & John T. Warner, 2001. "The Personal Discount Rate: Evidence from Military Downsizing Programs," American Economic Review, American Economic Association, vol. 91(1), pages 33-53, March.
    23. Becker, Gary S & Grossman, Michael & Murphy, Kevin M, 1994. "An Empirical Analysis of Cigarette Addiction," American Economic Review, American Economic Association, vol. 84(3), pages 396-418, June.
    24. Janet Currie & W. Bentley MacLeod, 2008. "First Do No Harm? Tort Reform and Birth Outcomes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 795-830.
    25. Blundell, Richard & Francesconi, Marco & van der Klaauw, Wilbert, 2011. "Anatomy of Welfare Reform Evaluation: Announcement and Implementation Effects," IZA Discussion Papers 6050, Institute of Labor Economics (IZA).
    26. David H. Autor & John J. Donohue & Stewart J. Schwab, 2006. "The Costs of Wrongful-Discharge Laws," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 211-231, May.
    27. Lueck, Dean & Michael, Jeffrey A, 2003. "Preemptive Habitat Destruction under the Endangered Species Act," Journal of Law and Economics, University of Chicago Press, vol. 46(1), pages 27-60, April.
    28. Chow, Gregory C, 1989. "Rational versus Adaptive Expectations in Present Value Models," The Review of Economics and Statistics, MIT Press, vol. 71(3), pages 376-384, August.
    29. Jaewoo Ryoo & Sherwin Rosen, 2004. "The Engineering Labor Market," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 110-140, February.
    30. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 269-298.
    31. W. Kip Viscusi & Patricia H. Born, 2005. "Damages Caps, Insurability, and the Performance of Medical Malpractice Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(1), pages 23-43, March.
    32. James A. Kahn, 1986. "Gasoline Prices and the Used Automobile Market: A Rational Expectations Asset Price Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(2), pages 323-339.
    33. Eric Helland & Jonathan Klick & Alexander Tabarrok, 2005. "Data Watch: Tort-uring the Data," Journal of Economic Perspectives, American Economic Association, vol. 19(2), pages 207-220, Spring.
    34. Amy Finkelstein, 2004. "Static and Dynamic Effects of Health Policy: Evidence from the Vaccine Industry," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 527-564.
    35. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    36. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    37. David A. Matsa, 2007. "Does Malpractice Liability Keep the Doctor Away? Evidence from Tort Reform Damage Caps," The Journal of Legal Studies, University of Chicago Press, vol. 36(S2), pages 143-182, June.
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    More about this item

    Keywords

    Anticipation; Medical malpractice; Endogeneity; Tort reform;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • K13 - Law and Economics - - Basic Areas of Law - - - Tort Law and Product Liability; Forensic Economics
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

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