Maximum Likelihood Estimation of Search Costs
In a recent paper Hong and Shum (forthcoming) present a structural methodology to estimate search cost distributions. We extend their approach to the case of oligopoly and present a maximum likelihood estimate of the search cost distribution. We apply our method to a data set of online prices for different computer memory chips. The estimates of the search cost distribution suggest that consumers have either quite high or quite low search costs so they either search for all prices in the market or for at most three prices. According to Kolmogorov-Smirnov goodness-of-fit tests, we cannot reject the null hypothesis that the observed prices are generated by the mode.
|consumer search, maximum likelihood, oligopoly, price dispersion, structural estimation|
|Semiparametric and Nonparametric Methods (jel C14), Oligopoly and Other Forms of Market Imperfection (jel D43), Search; Learning; Information and Knowledge (jel D83), Oligopoly and Other Imperfect Markets (jel L13)|
|Tinbergen Institute Discussion Paper Series|
Moraga-Gonzalez, J.L, & Wildenbeest, M.R. (2006). Maximum Likelihood Estimation of Search Costs (No. TI 06-019/1). Tinbergen Institute Discussion Paper Series. Retrieved from http://hdl.handle.net/1765/7510