International Statistical Review

Copyright Damages and Statistics

Robert L. Basmann and Daniel J. Slottje

Full-text: Access denied (no subscription detected)

We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber. If you have a personal subscription to this journal, then please login. If you are already logged in, then you may need to update your profile to register your subscription. Read more about accessing full-text

Abstract

This paper discusses the statistical issues that arise in conducting an economic damages analysis in the context of a litigation matter involving copyrights. Calculating damages in copyright cases turns out to be a natural application for econometric modelling methods. Surprisingly, elementary statistical issues can be a source of significant debate between the experts in such matters. In this paper, we present a case study and illustrate how issues such as interpretation of $p$-values and what "rejection of the null hypothesis" really "means" in such matters.

Article information

Source
Internat. Statist. Rev., Volume 71, Number 3 (2003), 557-564.

Dates
First available in Project Euclid: 21 October 2003

Permanent link to this document
https://projecteuclid.org/euclid.isr/1066768707

Zentralblatt MATH identifier
1114.62375

Keywords
Copyrights Economic damages $p$-values

Citation

Basmann, Robert L.; Slottje, Daniel J. Copyright Damages and Statistics. Internat. Statist. Rev. 71 (2003), no. 3, 557--564. https://projecteuclid.org/euclid.isr/1066768707


Export citation

References

  • [1] Buchanan, M. & Slottje, D. (1995). Pay and Performance in the NBA. Greenwich, CT: JAI Press.
  • [2] Dennin, F. (1995). Law and Practice of WTO. New York: Oceana Publication.
  • [3] Diamond, S. (2000). Reference Guide on Survey Research. In Reference Manual on Scientific Evidence, pp. 229-276, Washington, D.C.: Federal Judicial Center.
  • [4] Dubin, J. (1998). Studies in Consumer Demand-Econometric Methods Applied to Market Data. Boston: Kluwer Publishing.
  • [5] Dubin, J. (2001). Empirical Studies in Applied Economics. Boston: Kluwer Publishing.
  • [6] Gastwirth, J.L. (1988). Statistical Reasoning in Law and Public Policy. New York: Academic Press.
  • [7] Gastwirth, J.L. (2003). Sampling Issues. Journal of Econometrics, forthcoming.
  • [8] Gujarati, D. (2003). Basic Econometrics. New York: McGraw-Hill.
  • [9] Hall, R. & Lazear, V. (2000). Reference Guide on Estimation of Economic Losses in Damage Awards. In Reference Manual of Scientific Evidence, pp. 277-332. Washington, D.C.: Federal Judicial Center.
  • [10] Slottje, D., Millimet, D. & Buchanan, M. (2004). Econometric Analysis of Copy Rights. Journal of Econometrics, forthcoming.
  • [11] Spirer, H., Spirer, L. & Jaffe, A.J. (1998). Misused Statistics. New York: Marcel Dekker, Inc.
  • [12] Werden, G.J., Beavers, L.W. & Froeb, L.M. (1999a). Quantity Accretion-The Mirror Image of Price Erosion from Patent Infringement. Journal of the Patent and Trademark Office Society, 81, 479-482.
  • [13] Werden, G.J., Froeb, L.M. & Beavers, L.W. (1999b). Economic Analysis of Lost Profits from Patent Infringement With and Without Noninfringing Substitutes. American Intellectual Property Law Association Quarterly Journal, 27, 305-333.
  • [14] Werden, G.J., Froeb, L.M. & Langenfeld, J. (2000). Lost Profits from Patent Infringement: The Simulation Approach. International Journal of the Economics of Business, 7(2), 213-227.
  • [15] Wooldridge, J.M. (2001). Econometric Analysis of Cross Section and Panel Data. Cambridge: MIT Press.