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Estimating overcharges in antitrust cases using a reduced-form approach: Methods and issues

This paper presents several methods and discusses salient issues pertaining to the use of reduced-form models to estimate overcharges in antitrust matters (e.g., price-fixing) where “but-for” prices may be less than actual prices during the anticompetitive period. In particular, two common types of reduced-form estimations are discussed: the “dummyvariable approach” and the “forecasting approach”. Under either methodology, an error correction model is then specified as one way to address technical problems often found in applied time-series analysis – nonstationary data and the existence of short-term and longterm dynamics.

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File URL: http://www.ucema.edu.ar/publicaciones/download/volume9/nieberding.pdf
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Article provided by Universidad del CEMA in its journal Journal of Applied Economics.

Volume (Year): IX (2006)
Issue (Month): (November)
Pages: 361-380

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Handle: RePEc:cem:jaecon:v:9:y:2006:n:2:p:361-380
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  1. John M. Connor, 2004. "Global Antitrust Prosecutions of Modern International Cartels," Journal of Industry, Competition and Trade, Springer, vol. 4(3), pages 239-267, 09.
  2. 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.
  3. Baker, Jonathan B & Rubinfeld, Daniel L, 1999. "Empirical Methods in Antitrust Litigation: Review and Critique," American Law and Economics Review, Oxford University Press, vol. 1(1-2), pages 386-435, Fall.
  4. Mario Forni, 2004. "Using Stationarity Tests in Antitrust Market Definition," American Law and Economics Review, Oxford University Press, vol. 6(2), pages 441-464.
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