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Making Friends with Your Neighbors? Agglomeration and Tacit Collusion in The Lodging Industry

Author

Listed:
  • Li Gan

    (Texas A&M University and NBER)

  • Manuel A. Hernandez

    (IFPRI)

Abstract

Agglomeration is a location pattern frequently observed in service industries such as hotels. This paper empirically examines whether agglomeration facilitates tacit collusion in the lodging industry using a quarterly data set of hotels in Texas. We jointly model a price and occupancy rate equation under a switching regression model to identify a collusive and noncollusive regime. The estimation results indicate that clustered hotels have a higher probability of being in the potential collusive regime than isolated properties in the same town. The identification of a collusive regime is also consistent with other factors considered to affect the sustainability of tacit collusion. © 2013 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Suggested Citation

  • Li Gan & Manuel A. Hernandez, 2013. "Making Friends with Your Neighbors? Agglomeration and Tacit Collusion in The Lodging Industry," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 1002-1017, July.
  • Handle: RePEc:tpr:restat:v:95:y:2013:i:3:p:1002-1017
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    References listed on IDEAS

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    1. John Connor, 2005. "Collusion and price dispersion," Applied Economics Letters, Taylor & Francis Journals, vol. 12(6), pages 335-338.
    2. Susan Athey & Kyle Bagwell & Chris Sanchirico, 2004. "Collusion and Price Rigidity," Review of Economic Studies, Oxford University Press, vol. 71(2), pages 317-349.
    3. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    4. Christopher R. Knittel & Victor Stango, 2003. "Price Ceilings as Focal Points for Tacit Collusion: Evidence from Credit Cards," American Economic Review, American Economic Association, vol. 93(5), pages 1703-1729, December.
    5. Helsley, Robert W. & Strange, William C., 1990. "Matching and agglomeration economies in a system of cities," Regional Science and Urban Economics, Elsevier, vol. 20(2), pages 189-212, September.
    6. John Haltiwanger & Joseph E. Harrington Jr., 1991. "The Impact of Cyclical Demand Movements on Collusive Behavior," RAND Journal of Economics, The RAND Corporation, vol. 22(1), pages 89-106, Spring.
    7. Irmen, Andreas & Thisse, Jacques-Francois, 1998. "Competition in Multi-characteristics Spaces: Hotelling Was Almost Right," Journal of Economic Theory, Elsevier, vol. 78(1), pages 76-102, January.
    8. Abrantes-Metz, Rosa M. & Froeb, Luke M. & Geweke, John & Taylor, Christopher T., 2006. "A variance screen for collusion," International Journal of Industrial Organization, Elsevier, vol. 24(3), pages 467-486, May.
    9. Janet S. Netz & Beck A. Taylor, 2002. "Maximum Or Minimum Differentiation? Location Patterns Of Retail Outlets," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 162-175, February.
    10. Friedman, J. & Thisse, J-F., 1991. "Infinite horizon spatial duopoly with collusive pricing and noncollusive location choice," CORE Discussion Papers 1991004, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
    12. Joseph E. Harrington, Jr, 2005. "Detecting Cartels," Economics Working Paper Archive 526, The Johns Hopkins University,Department of Economics.
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    Cited by:

    1. Roberto Gabriele & Enrico Tundis, 2015. "Contesto regionale, struttura economica e impatto delle politiche regionali: il caso degli alberghi in Trentino," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(3 Suppl.), pages 37-59.
    2. Roberto Gabriele, & Enrico Tundis, & Enrico Zaninotto, 2015. "Public Subsidies and Development of Hotel Industry: Evidence from a Place-based Policy," DEM Discussion Papers 2015/10, Department of Economics and Management.
    3. Cappenberg, Christina, 2013. "Staatliche Förderung regionaler Unternehmensnetzwerke: Legitimation nationaler Clusterpolitik," Arbeitspapiere 140, University of Münster, Institute for Cooperatives.
    4. Melis, Giuseppe & Piga, Claudio A, 2016. "Are all online hotel prices created dynamic? An empirical assessment," MPRA Paper 75896, University Library of Munich, Germany.
    5. Diego Escobari & Alejandro Serrano, 2016. "Reducing asymmetric information in venture capital backed IPOs," Managerial Finance, Emerald Group Publishing, vol. 42(6), pages 553-568, June.
    6. Martin Falk & Eva Hagsten, 2014. "Output growth and prices of establishments in the Swedish lodging industry," ERSA conference papers ersa14p360, European Regional Science Association.
    7. Xi Wu & Li Gan, 2013. "Multiple Dimensions of Private Information in Life Insurance Markets," NBER Working Papers 19629, National Bureau of Economic Research, Inc.
    8. Li Gan & Manuel A. Hernandez & Yanyan Liu, 2013. "Group Lending with Heterogeneous Types," NBER Working Papers 18847, National Bureau of Economic Research, Inc.
    9. Wyatt J. Brooks & Joseph P. Kaboski & Yao Amber Li, 2016. "Growth Policy, Agglomeration, and (the Lack of) Competition," NBER Working Papers 22947, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    collusion; agglomeration; lodging industry; switching regression model;

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L4 - Industrial Organization - - Antitrust Issues and Policies
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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