Recent PostsCTN Issue: December 2016 Thomas Hazlett & Michael Honig, The Price of Freedom: How to Charge for Spectrum as WiFi and Cellular Collide IEEE ComSoc Technology News (Dec. 2016) Al[...]Thomas Hazlett recently reviewed two new volumes on the Information Economy for the International Journal of Economics of Business. Both Martin Campbell-Kelly and Daniel D. Garcia-Swartz, [...]My new research shows that more Internet access funding doesn't help students. And almost all U.S. schools are already online. By Thomas Hazlett 08/23/16 09:27 AM EDT Even during[...]How an early telephone silencer took on AT&T. By Lauren Young via Atlas Obscura It's not unusual today to overhear strangers' intimate phone conversations while comm[...]
Search with Learning for Differentiated Products: Evidence from E-Commerce
(Dr. Babur De Los Santos with Ali Hortaçsu and Matthijs R. Wildenbeest, Journal of Business & Economic Statistics, forthcoming)
This paper provides a method to estimate search costs in a differentiated product environment in which consumers are uncertain about the utility distribution. Consumers learn about the utility distribution by Bayesian updating their Dirichlet process prior beliefs. The model provides expressions for bounds on the search costs that can rationalize observed search and purchasing behavior. Using individual-specific data on web browsing and purchasing behavior for MP3 players sold online we show how to use these bounds to estimate search costs as well as the parameters of the utility distribution. Our estimates indicate that search costs are sizable. We show that ignoring consumer learning while searching can lead to severely biased search cost and elasticity estimates.