IDEAS home Printed from https://ideas.repec.org/a/eee/eecrev/v52y2008i5p820-848.html
   My bibliography  Save this article

Maximum likelihood estimation of search costs

Author

Listed:
  • Moraga-González, José Luis
  • Wildenbeest, Matthijs R.

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.

Suggested Citation

  • Moraga-González, José Luis & Wildenbeest, Matthijs R., 2008. "Maximum likelihood estimation of search costs," European Economic Review, Elsevier, vol. 52(5), pages 820-848, July.
    • Handle: RePEc:eee:eecrev:v:52:y:2008:i:5:p:820-848
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0014-2921(07)00102-X
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    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. 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.
    3. Clay, Karen & Krishnan, Ramayya & Wolff, Eric, 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.
    4. Rafael Rob, 1985. "Equilibrium Price Distributions," Review of Economic Studies, Oxford University Press, vol. 52(3), pages 487-504.
    5. Eckstein, Zvi & van den Berg, Gerard J., 2007. "Empirical labor search: A survey," Journal of Econometrics, Elsevier, vol. 136(2), pages 531-564, February.
    6. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    7. Maarten C. W. Janssen & José Luis Moraga-González, 2004. "Strategic Pricing, Consumer Search and the Number of Firms," Review of Economic Studies, Oxford University Press, vol. 71(4), pages 1089-1118.
    8. John W. Pratt & David A. Wise & Richard Zeckhauser, 1979. "Price Differences in almost Competitive Markets," The Quarterly Journal of Economics, Oxford University Press, vol. 93(2), pages 189-211.
    9. 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.
    10. 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.
    11. 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, Oxford University Press, vol. 119(2), pages 403-456.
    12. Morgan, Peter & Manning, Richard, 1985. "Optimal Search," Econometrica, Econometric Society, vol. 53(4), pages 923-944, July.
    13. 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.
    14. Gautier, Pieter A & Moraga-González, José-Luis & Wolthoff, Ronald, 2007. "Structural Estimation of Search Intensity: Do Non-Employed Workers Search Enough?," CEPR Discussion Papers 6440, C.E.P.R. Discussion Papers.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Burdett, Kenneth & Judd, Kenneth L, 1983. "Equilibrium Price Dispersion," Econometrica, Econometric Society, vol. 51(4), pages 955-969, July.
    23. Stahl, Dale O, II, 1989. "Oligopolistic Pricing with Sequential Consumer Search," American Economic Review, American Economic Association, vol. 79(4), pages 700-712, September.
    24. George J. Stigler, 1961. "The Economics of Information," Journal of Political Economy, University of Chicago Press, vol. 69, pages 213-213.
    25. Donald, S.G. & Paarsch, H.J., 1992. "Maximum Likelihood Estimation in Empirical Models of Auctions," UWO Department of Economics Working Papers 9211, University of Western Ontario, Department of Economics.
    26. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Timothy J. Richards & Stephen F. Hamilton & Koichi Yonezawa, 2017. "Variety and the Cost of Search in Supermarket Retailing," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(3), pages 263-285, May.
    2. Elisabeth Honka, 2014. "Quantifying search and switching costs in the US auto insurance industry," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 847-884, December.
    3. Ali Hortaçsu & Seyed Ali Madanizadeh & Steven L. Puller, 2015. "Power to Choose? An Analysis of Consumer Inertia in the Residential Electricity Market," NBER Working Papers 20988, National Bureau of Economic Research, Inc.
    4. repec:taf:applec:v:49:y:2017:i:57:p:5740-5752 is not listed on IDEAS
    5. Kenneth Burdett & Guido Menzio, 2013. "(Q,S,s) Pricing Rules," NBER Working Papers 19094, National Bureau of Economic Research, Inc.
    6. Janssen, Maarten C.W. & Non, Marielle C., 2008. "Advertising and consumer search in a duopoly model," International Journal of Industrial Organization, Elsevier, vol. 26(1), pages 354-371, January.
    7. Moraga-González, José Luis & Sándor, Zsolt & Wildenbeest, Matthijs R., 2017. "Nonsequential search equilibrium with search cost heterogeneity," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 392-414.
    8. Richards, Timothy J. & Gómez, Miguel I. & Printezis, Iryna, 2014. "Hysteresis, Price Acceptance, and Reference Prices," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 164872, Agricultural and Applied Economics Association.
    9. Monica Giulietti & Jesus Otero & Michael Waterson, 2010. "Pricing behaviour under competition in the UK electricity supply industry," Oxford Economic Papers, Oxford University Press, vol. 62(3), pages 478-503, July.
    10. Backus, Matthew R. & Podwol, Joseph Uri & Schneider, Henry S., 2014. "Search costs and equilibrium price dispersion in auction markets," European Economic Review, Elsevier, vol. 71(C), pages 173-192.
    11. repec:wly:japmet:v:32:y:2017:i:1:p:80-102 is not listed on IDEAS
    12. Wilson, Chris M., 2012. "Market frictions: A unified model of search costs and switching costs," European Economic Review, Elsevier, vol. 56(6), pages 1070-1086.
    13. Jason R. Blevins & Garrett T. Senney, 2014. "Dynamic Selection and Distributional Bounds on Search Costs in Dynamic Unit-Demand Models," Working Papers 14-02, Ohio State University, Department of Economics.
    14. Rauh, Michael T., 2009. "Strategic complementarities and search market equilibrium," Games and Economic Behavior, Elsevier, vol. 66(2), pages 959-978, July.
    15. Yonghong An & Michael R. Baye & Yingyao Hu & John Morgan & Matt Shum, 2017. "Identification and Estimation of Online Price Competition With an Unknown Number of Firms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 80-102, January.
    16. Hakan Yilmazkuday, 2017. "Geographical dispersion of consumer search behaviour," Applied Economics, Taylor & Francis Journals, vol. 49(57), pages 5740-5752, December.
    17. Greg Kaplan & Guido Menzio, 2015. "The Morphology Of Price Dispersion," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1165-1206, November.
    18. Jose Luis Moraga-Gonzalez & Zsolt Sandor & Matthijs R. Wildenbeest, "undated". "Do higher search costs make the markets less competitive?," Working Papers 2013-08, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    19. Richards, Timothy J. & Hamilton, Stephen F. & Allender, William, 2016. "Search and price dispersion in online grocery markets," International Journal of Industrial Organization, Elsevier, vol. 47(C), pages 255-281.
    20. Matthijs R. Wildenbeest, 2011. "An empirical model of search with vertically differentiated products," RAND Journal of Economics, RAND Corporation, vol. 42(4), pages 729-757, December.
    21. Wilson, Chris M, 2009. "Market Frictions: A Unified Model of Search and Switching Costs," MPRA Paper 13672, University Library of Munich, Germany.
    22. Maarten Janssen & Paul Pichler & Simon Weidenholzer, 2009. "Sequential Search with Incompletely Informed Consumers: Theory and Evidence from Retail Gasoline Markets," Vienna Economics Papers 0914, University of Vienna, Department of Economics.
    23. Sergei Koulayev, 2008. "Estimating search with learning," Working Papers 08-29, NET Institute, revised Oct 2008.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eecrev:v:52:y:2008:i:5:p:820-848. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/eer .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.