Estimating overcharges in antitrust cases using a reduced-form approach: Methods and issues
AbstractThis 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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Bibliographic InfoArticle provided by Universidad del CEMA in its journal Journal of Applied Economics.
Volume (Year): IX (2006)
Issue (Month): (November)
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More information through EDIRC
price-fixing; time-series; reduced-form; estimated overcharges; antitrust;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
- L4 - Industrial Organization - - Antitrust Issues and Policies
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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