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Maximum Likelihood Estimation of Search Costs

Author

Listed:
  • Jose Luis Moraga-Gonzalez

    (University of Groningen)

  • Matthijs R. Wildenbeest

    (Erasmus University Rotterdam)

Abstract

In a recent paper Hong and Shum [2006. Using price distributions to estimate search costs. Rand Journal of Economics 37, 257–275] present a structural method to estimate search cost distributions. We extend their approach to the case of oligopoly and present a new maximum likelihood method to estimate search costs. We apply our method to a data set of online prices for different computer memory chips. The estimates suggest that the consumer population can be roughly split into two groups which either have quite high or quite low search costs. Search frictions confer a significant amount of market power to the firms: Despite more than 20 firms operating in each of the markets, we estimate price-cost margins to be around 25%. The paper also illustrates how the structural method can be employed to simulate the effects of the introduction of a sales tax. This discussion paper has resulted in a publication in the European Economic Review , 2008, 52(5), 820-48.

Suggested Citation

  • Jose Luis Moraga-Gonzalez & Matthijs R. Wildenbeest, 0000. "Maximum Likelihood Estimation of Search Costs," Tinbergen Institute Discussion Papers 06-019/1, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20060019
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    References listed on IDEAS

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    1. Daniel Hosken & David Reiffen, 2004. "Patterns of Retail Price Variation," RAND Journal of Economics, The RAND Corporation, vol. 35(1), pages 128-146, Spring.
    2. Karen Clay & Ramayya Krishnan & Eric Wolff, 2001. "Prices and Price Dispersion on the Web: Evidence from the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 521-539, December.
    3. Eckstein, Zvi & van den Berg, Gerard J., 2007. "Empirical labor search: A survey," Journal of Econometrics, Elsevier, vol. 136(2), pages 531-564, February.
    4. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    5. Saul Lach, 2002. "Existence And Persistence Of Price Dispersion: An Empirical Analysis," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 433-444, August.
    6. Waterson, Michael, 2003. "The role of consumers in competition and competition policy," International Journal of Industrial Organization, Elsevier, vol. 21(2), pages 129-150, February.
    7. 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.
    8. Donald, S.G. & Paarsch, H.J., 1992. "Maximum Likelihood Estimation in Empirical Models of Auctions," University of Western Ontario, Departmental Research Report Series 9211, University of Western Ontario, Department of Economics.
    9. Gautier, Pieter A. & Moraga-González, José L. & Wolthoff, Ronald P., 2007. "Structural Estimation of Search Intensity: Do Non-Employed Workers Search Enough?," IZA Discussion Papers 3045, Institute of Labor Economics (IZA).
    10. Rafael Rob, 1985. "Equilibrium Price Distributions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(3), pages 487-504.
    11. Jeffrey R. Brown & Austan Goolsbee, 2002. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 481-507, June.
    12. Gerard J. van den Berg & Geert Ridder, 1998. "An Empirical Equilibrium Search Model of the Labor Market," Econometrica, Econometric Society, vol. 66(5), pages 1183-1222, September.
    13. Waterson, Michael, 2003. "Consumers and Competition," The Warwick Economics Research Paper Series (TWERPS) 679, University of Warwick, Department of Economics.
    14. Stahl, Dale O, II, 1989. "Oligopolistic Pricing with Sequential Consumer Search," American Economic Review, American Economic Association, vol. 79(4), pages 700-712, September.
    15. Donald, Stephen G & Paarsch, Harry J, 1993. "Piecewise Pseudo-maximum Likelihood Estimation in Empirical Models of Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 34(1), pages 121-148, February.
    16. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    17. Ali Hortaçsu & Chad Syverson, 2004. "Product Differentiation, Search Costs, and Competition in the Mutual Fund Industry: A Case Study of S&P 500 Index Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 403-456.
    18. John W. Pratt & David A. Wise & Richard Zeckhauser, 1979. "Price Differences in almost Competitive Markets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(2), pages 189-211.
    19. Morgan, Peter & Manning, Richard, 1985. "Optimal Search," Econometrica, Econometric Society, vol. 53(4), pages 923-944, July.
    20. Dahlby, Bev & West, Douglas S, 1986. "Price Dispersion in an Automobile Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 418-438, April.
    21. Glenn Ellison & Sara Fisher Ellison, 2009. "Search, Obfuscation, and Price Elasticities on the Internet," Econometrica, Econometric Society, vol. 77(2), pages 427-452, March.
    22. Martin Pesendorfer, 2002. "Retail Sales: A Study of Pricing Behavior in Supermarkets," The Journal of Business, University of Chicago Press, vol. 75(1), pages 33-66, January.
    23. Burdett, Kenneth & Judd, Kenneth L, 1983. "Equilibrium Price Dispersion," Econometrica, Econometric Society, vol. 51(4), pages 955-969, July.
    24. Michael R. Baye & John Morgan & Patrick Scholten, 2004. "Price Dispersion In The Small And In The Large: Evidence From An Internet Price Comparison Site," Journal of Industrial Economics, Wiley Blackwell, vol. 52(4), pages 463-496, December.
    25. Maarten C. W. Janssen & José Luis Moraga-González, 2004. "Strategic Pricing, Consumer Search and the Number of Firms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(4), pages 1089-1118.
    26. repec:bla:jindec:v:49:y:2001:i:4:p:521-39 is not listed on IDEAS
    27. Han Hong & Matthew Shum, 2006. "Using price distributions to estimate search costs," RAND Journal of Economics, RAND Corporation, vol. 37(2), pages 257-275, June.
    28. Alan T. Sorensen, 2000. "Equilibrium Price Dispersion in Retail Markets for Prescription Drugs," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 833-862, August.
    29. Juan Delgado & Michael Waterson, 2003. "Tyre price dispersion across retail outlets in the UK," Journal of Industrial Economics, Wiley Blackwell, vol. 51(4), pages 491-509, December.
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    More about this item

    Keywords

    consumer search; oligopoly; price dispersion; structural estimation; maximum likelihood;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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