Estimating search with learning
In this paper we estimate a structural model of search for differentiated products, using a unique dataset of individual search histories for hotels online. We propose and implement an identification strategy that allows to separately estimate consumer's beliefs, search costs and preferences. Learning plays an essential role in this strategy: it creates variation of posterior beliefs across consumers that's orthogonal to variation in search costs. We obtain two kinds of results. First, we estimate consumer's demand from the search model and compare it to results from the static model. We find that ignoring the endogeneity of choice sets leads to biased estimates: in particular, the aggregate price elasticity is over-estimated by about 80%. Second, we attempt to evaluate an empirical performance of a model of rational search. The mean search cost is estimated to be around 40 dollars, and median is 30 dollars; however, there is also a significant variation of search costs among population. A test between models of search from known (Stigler 1967) and from unknown (Rothschild 1974) distribution favors the second one: we find a statistically significant amount of Bayesian learning, even though it doesn't seem to affect demand estimates in an economically meaningful way.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Simon P. Anderson & Regis Renault, 1999.
"Pricing, product diversity, and search costs: a Bertrand-Chamberlin-Diamond model,"
Virginia Economics Online Papers
335, University of Virginia, Department of Economics.
- Simon P. Anderson & Regis Renault, 1999. "Pricing, Product Diversity, and Search Costs: A Bertrand-Chamberlin-Diamond Model," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 719-735, Winter.
- Anderson, S.P. & Renault, R., 1997. "Pricing, Product Diversity and Search Costs: A Bertrand-Chamberlin-Diamond Model," Papers 97.481, Toulouse - GREMAQ.
- Jose Luis Moraga-Gonzalez & Matthijs R. Wildenbeest, 0000.
"Maximum Likelihood Estimation of Search Costs,"
Tinbergen Institute Discussion Papers
06-019/1, Tinbergen Institute.
- Alan T. Sorensen, 2001. "An Empirical Model of Heterogeneous Consumer Search for Retail Prescription Drugs," NBER Working Papers 8548, National Bureau of Economic Research, Inc.
- Babur de los Santos, 2008.
"Consumer Search on the Internet,"
2008-06, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
- Kohn, Meir G. & Shavell, Steven, 1974. "The theory of search," Journal of Economic Theory, Elsevier, vol. 9(2), pages 93-123, October.
- S. Bikhchandani & S. Sharma, 1990.
"Optimal Search with Learning,"
UCLA Economics Working Papers
580, UCLA Department of Economics.
- Wolinsky, Asher, 1987. "Matching, search, and bargaining," Journal of Economic Theory, Elsevier, vol. 42(2), pages 311-333, August.
- Christopher T. Conlon & Julie Holland Mortimer, 2013.
"Demand Estimation under Incomplete Product Availability,"
American Economic Journal: Microeconomics,
American Economic Association, vol. 5(4), pages 1-30, November.
- Christopher T. Conlon & Julie Holland Mortimer, 2010. "Demand Estimation Under Incomplete Product Availability," Boston College Working Papers in Economics 799, Boston College Department of Economics, revised 07 Aug 2012.
- Christopher T. Conlon & Julie Holland Mortimer, 2014. "Demand Estimation Under Incomplete Product Availability," Boston College Working Papers in Economics 863, Boston College Department of Economics.
- Christopher T. Conlon & Julie Holland Mortimer, 2008. "Demand Estimation Under Incomplete Product Availability," NBER Working Papers 14315, National Bureau of Economic Research, Inc.
- Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, 07.
- Diamond, Peter A., 1971. "A model of price adjustment," Journal of Economic Theory, Elsevier, vol. 3(2), pages 156-168, June.
- Rosenfield, Donald B. & Shapiro, Roy D., 1981. "Optimal adaptive price search," Journal of Economic Theory, Elsevier, vol. 25(1), pages 1-20, August.
- Morgan, Peter B, 1985. "Distributions of the Duration and Value of Job Search with Learning," Econometrica, Econometric Society, vol. 53(5), pages 1199-1232, September.
- Rothschild, Michael, 1974. "Searching for the Lowest Price When the Distribution of Prices Is Unknown," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 689-711, July/Aug..
- Sailer, Katharina, 2006. "Searching and Learning in Internet Auctions: The eBay Example," Munich Dissertations in Economics 4873, University of Munich, Department of Economics.
- Peter A. Diamond & Eric Maskin, 1979. "An Equilibrium Analysis of Search and Breach of Contract, I: Steady States," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 282-316, Spring.
- Jeremy T. Fox, 2007. "Semiparametric estimation of multinomial discrete-choice models using a subset of choices," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 1002-1019, December.
- Steven Berry & James Levinsohn & Ariel Pakes, 1993. "Automobile Prices in Market Equilibrium: Part I and II," NBER Working Papers 4264, National Bureau of Economic Research, Inc.
- Eric J. Johnson & Wendy W. Moe & Peter S. Fader & Steven Bellman & Gerald L. Lohse, 2004. "On the Depth and Dynamics of Online Search Behavior," Management Science, INFORMS, vol. 50(3), pages 299-308, March.
When requesting a correction, please mention this item's handle: RePEc:net:wpaper:0829. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nicholas Economides)
If references are entirely missing, you can add them using this form.