Estimating Discrete Games with Many Firms and Many Decisions: An Application to Merger and Product Variety

We thank Zibin Huang, Sueyoul Kim, and Xinlu Yao for their excellent research assistance and participants at Caltech, Drexel, FTC Microeconomics Conference, ITAM, Johns Hopkins, MIT, NYU IO Day, Penn State, Stanford, Stony Brook, UT Berlin, Yale, and Zhejiang University for their insightful comments. We also thank Ryan Lee, Marc Sorini, and Bart Watson for insights into the craft beer industry. Researchers’ own analyses calculated (or derived) based in part on (i) retail measurement/consumer data from Nielsen Consumer LLC (“NielsenIQ”); (ii) media data from The Nielsen Company (US), LLC (“Nielsen”); and (iii) marketing databases provided through the respective NielsenIQ and the Nielsen Datasets at the Kilts Center for Marketing Data Center at The University of Chicago Booth School of Business. The conclusions drawn from the NielsenIQ and Nielsen data are those of the researchers and do not reflect the views of Nielsen. Nielsen is not responsible for, had no role in, and was not involved in analyzing and preparing the results reported herein. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.