A Practitioner's Guide to Estimation of Random‐Coefficients Logit Models of Demand

36 Pages Posted: 26 Sep 2012

See all articles by Aviv Nevo

Aviv Nevo

Northwestern University - Department of Economics; National Bureau of Economic Research (NBER)

Date Written: Winter 2000

Abstract

Estimation of demand is at the heart of many recent studies that examine questions of market power, mergers, innovation, and valuation of new brands in differentiated‐products markets. This paper focuses on one of the main methods for estimating demand for differentiated products: random‐coefficients logit models. The paper carefully discusses the latest innovations in these methods with the hope of increasing the understanding, and therefore the trust among researchers who have never used them, and reducing the difficulty of their use, thereby aiding in realizing their full potential.

Suggested Citation

Nevo, Aviv, A Practitioner's Guide to Estimation of Random‐Coefficients Logit Models of Demand (Winter 2000). Journal of Economics & Management Strategy, Vol. 9, Issue 4, pp. 513-548, 2000. Available at SSRN: https://ssrn.com/abstract=2152215 or http://dx.doi.org/10.1111/j.1430-9134.2000.00513.x

Aviv Nevo (Contact Author)

Northwestern University - Department of Economics ( email )

2003 Sheridan Road
Evanston, IL 60208
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
0
Abstract Views
455
PlumX Metrics