Quantitative Techniques for Competition and Antitrust Analysis

Quantitative Techniques for Competition and Antitrust Analysis

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This book combines practical guidance and theoretical background for analysts using empirical techniques in competition and antitrust investigations. Peter Davis and Eliana GarcAcs show how to integrate empirical methods, economic theory, and broad evidence about industry in order to provide high-quality, robust empirical work that is tailored to the nature and quality of data available and that can withstand expert and judicial scrutiny. Davis and GarcAcs describe the toolbox of empirical techniques currently available, explain how to establish the weight of pieces of empirical work, and make some new theoretical contributions. The book consistently evaluates empirical techniques in light of the challenge faced by competition analysts and academics--to provide evidence that can stand up to the review of experts and judges. The book's integrated approach will help analysts clarify the assumptions underlying pieces of empirical work, evaluate those assumptions in light of industry knowledge, and guide future work aimed at understanding whether the assumptions are valid. Throughout, Davis and GarcAcs work to expand the common ground between practitioners and academics.(1995). use the general method of moments (GMM), but one might initially simply choose them by minimizing the sum of squared ... Their results48 show the own- price elasticity of a Mazda 323 to be 6.4 at a price of $5, 049 while the own-priceanbsp;...

Title:Quantitative Techniques for Competition and Antitrust Analysis
Author:Peter Davis, Eliana Garcés
Publisher:Princeton University Press - 2009-11-16


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