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Measuring Benchmark Damages in Antitrust Litigation

Author

Listed:
  • McCrary Justin

    (Professor of Law, U.C. Berkeley; and Faculty Research Associate, NBER)

  • Rubinfeld Daniel L.

    (Robert L. Bridges Professor of Law and Professor of Economics Emeritus, U.C. Berkeley; Professor of Law, NYU; and Faculty Research Associate, NBER)

Abstract

We compare the two dominant approaches to estimation of benchmark damages in antitrust litigation, the forecasting approach and the dummy variable approach. We give conditions under which the two approaches are equivalent and present the results of a small simulation study.

Suggested Citation

  • McCrary Justin & Rubinfeld Daniel L., 2014. "Measuring Benchmark Damages in Antitrust Litigation," Journal of Econometric Methods, De Gruyter, vol. 3(1), pages 63-74, January.
    • Handle: RePEc:bpj:jecome:v:3:y:2014:i:1:p:63-74:n:4
    DOI: 10.1515/jem-2013-0006
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    References listed on IDEAS

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    1. Higgins, Richard S. & Johnson, Paul A., 2003. "The mean effect of structural change on the dependent variable is accurately measured by the intercept change alone," Economics Letters, Elsevier, vol. 80(2), pages 255-259, August.
    2. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    3. Salkever, David S., 1976. "The use of dummy variables to compute predictions, prediction errors, and confidence intervals," Journal of Econometrics, Elsevier, vol. 4(4), pages 393-397, November.
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