Quantitative Methods in Antitrust
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Description
This chapter surveys empirical methods that are used to evaluate antitrust issues relating to merger analysis, liability, impact, and damages. The chapter first describes a number of applications for traditional statistical methods that rely on reduced from estimation using cross-section or time-series data. It then examines the application of methods that uncover the structure of demand, including (1) the estimation of demand elasticities using market transactions data; (2) the use of transactions or bidding data, perhaps merged with information on buyer characteristics, to learn about the structure of preferences and to make inferences about the extent of buyer substitution between alternatives; and (3) the use of survey techniques. The chapter then raises a number of important conceptual issues that are relevant with respect to questions of liability, impact, and damages.
Source Publication
Issues in Competition Law and Policy
Source Editors/Authors
Wayne Dale Collins
Publication Date
2008
Volume Number
1
Recommended Citation
Rubinfeld, Daniel L., "Quantitative Methods in Antitrust" (2008). Faculty Chapters. 1829.
https://gretchen.law.nyu.edu/fac-chapt/1829
