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Frictions in a Competitive, Regulated Market Evidence from Taxis

Author

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  • Lizzeri, Alessandro
  • Frechette, Guilaume
  • Salz, Tobias

Abstract

This paper presents a dynamic general equilibrium model of a taxi mar- ket. The model is estimated using data from New York City yellow cabs. Two salient features by which most taxi markets deviate from the efficient market ideal is the need of both market sides to physically search for trading partners in the product market as well as prevalent regulatory limitations on entry in the capital market. To assess the relevance of these features we use the model to simulate the effect of changes in entry and an alternative search technology. The results are contrasted with a policy that improves the inten- sive margin of medallion utilization through a transfer of medallions to more efficient ownership. We use the geographical features of New York City to back out unobserved demand through a matching simulation.

Suggested Citation

  • Lizzeri, Alessandro & Frechette, Guilaume & Salz, Tobias, 2016. "Frictions in a Competitive, Regulated Market Evidence from Taxis," CEPR Discussion Papers 11626, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:11626
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    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Jean‐Pierre Dubé & Jeremy T. Fox & Che‐Lin Su, 2012. "Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation," Econometrica, Econometric Society, vol. 80(5), pages 2231-2267, September.
    3. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 407-441.
    4. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    5. Gerald S. Oettinger, 1999. "An Empirical Analysis of the Daily Labor Supply of Stadium Vendors," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 360-392, April.
    6. Ricardo Lagos, 2003. "An Analysis of the Market for Taxicab Rides in New York City," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 423-434, May.
    7. Vincent P. Crawford & Juanjuan Meng, 2011. "New York City Cab Drivers' Labor Supply Revisited: Reference-Dependent Preferences with Rational-Expectations Targets for Hours and Income," American Economic Review, American Economic Association, vol. 101(5), pages 1912-1932, August.
    8. Che‐Lin Su & Kenneth L. Judd, 2012. "Constrained Optimization Approaches to Estimation of Structural Models," Econometrica, Econometric Society, vol. 80(5), pages 2213-2230, September.
    9. Berry, Steven T, 1992. "Estimation of a Model of Entry in the Airline Industry," Econometrica, Econometric Society, vol. 60(4), pages 889-917, July.
    10. Cantillon, Estelle & Yin, Pai-Ling, 2008. "Competition between Exchanges: Lessons from the Battle of the Bund," CEPR Discussion Papers 6923, C.E.P.R. Discussion Papers.
    11. Frank A. Wolak, 1994. "An Econometric Analysis of the Asymmetric Information, Regulator-Utility Interaction," Annals of Economics and Statistics, GENES, issue 34, pages 1-12.
    12. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    13. repec:adr:anecst:y:1994:i:34:p:02 is not listed on IDEAS
    14. C. Kirabo Jackson & Henry S. Schneider, 2011. "Do Social Connections Reduce Moral Hazard? Evidence from the New York City Taxi Industry," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 244-267, July.
    15. Henry S. Farber, 2008. "Reference-Dependent Preferences and Labor Supply: The Case of New York City Taxi Drivers," American Economic Review, American Economic Association, vol. 98(3), pages 1069-1082, June.
    16. Bresnahan, Timothy F & Reiss, Peter C, 1991. "Entry and Competition in Concentrated Markets," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 977-1009, October.
    17. Stephen P. Ryan, 2012. "The Costs of Environmental Regulation in a Concentrated Industry," Econometrica, Econometric Society, vol. 80(3), pages 1019-1061, May.
    18. Panle Jia, 2008. "What Happens When Wal-Mart Comes to Town: An Empirical Analysis of the Discount Retailing Industry," Econometrica, Econometric Society, vol. 76(6), pages 1263-1316, November.
    19. Myrto Kalouptsidi, 2014. "Time to Build and Fluctuations in Bulk Shipping," American Economic Review, American Economic Association, vol. 104(2), pages 564-608, February.
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    More about this item

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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