IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

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

  • Li Gan

    (Texas A&M University and NBER)

  • Manuel A. Hernandez


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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
File Function: link to full text PDF
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by MIT Press in its journal Review of Economics and Statistics.

Volume (Year): 95 (2013)
Issue (Month): 3 (July)
Pages: 1002-1017

in new window

Handle: RePEc:tpr:restat:v:95:y:2013:i:3:p:1002-1017
Contact details of provider: Web page:

Order Information: Web:

References listed on IDEAS
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.:

as in new window
  1. Andreas IRMEN & Jean-François THISSE, 1996. "Competition in Multi-Characteristics Spaces: Hotelling Was Almost Right," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 9613, Université de Lausanne, Faculté des HEC, DEEP.
  2. 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.
  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. Susan Athey & Kyle Bagwell & Chris Sanchirico, 1998. "Collusion and Price Rigidity," Working papers 98-23, Massachusetts Institute of Technology (MIT), Department of Economics.
  5. 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.
  6. 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).
  7. Joseph E. Harrington, Jr, 2005. "Detecting Cartels," Economics Working Paper Archive 526, The Johns Hopkins University,Department of Economics.
  8. 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.
  9. John Connor, 2005. "Collusion and price dispersion," Applied Economics Letters, Taylor & Francis Journals, vol. 12(6), pages 335-338.
  10. 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.
  11. Christopher R. Knittel & Victor Stango, 2001. "Price ceilings as focal points for tacit collusion: evidence from credit cards," Working Paper Series WP-01-12, Federal Reserve Bank of Chicago.
  12. 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.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:tpr:restat:v:95:y:2013:i:3:p:1002-1017. 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: (Anna Pollock-Nelson)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.