NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

Improving the Numerical Performance of BLP Static and Dynamic Discrete Choice Random Coefficients Demand Estimation

Jean-Pierre H. Dubé, Jeremy T. Fox, Che-Lin Su

NBER Working Paper No. 14991
Issued in May 2009

---- Acknowledgements -----

We thank Daniel Ackerberg, Steven Berry, John Birge, Amit Gandhi, Philip Haile, Lars Hansen, Panle Jia, Kyoo il Kim, Samuel Kortum, Kenneth Judd, Sven Leyffer, Denis Nekipelov, Aviv Nevo, Jorge Nocedal, Ariel Pakes, John Rust, Hugo Salgado, Azeem Shaikh and Richard Waltz for helpful discussions and comments. We also thank workshop participants at CREST-INSEE / ENSAE, EARIE, the ESRC Econometrics Study Group Conference, the Econometric Society, the Federal Trade Commission, INFORMS, the International Industrial Organization Conference, the 2009 NBER winter IO meetings, Northwestern University, the Portuguese Competition Commission, the Stanford Institute for Theoretical Economics, the UK Competition Commission, the University of Chicago, and the University of Rochester. Dubé is grateful to the Kilts Center for Marketing and the Neubauer Faculty Fund for research support. Fox thanks the NSF, grant 0721036, the Olin Foundation, and the Stigler Center for financial support. Su is grateful for the financial support from the NSF (award no. SES-0631622) and the University of Chicago Booth School of Business. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research.

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