EconPapers    
Economics at your fingertips  
 

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

Li Gan () and Manuel Hernandez

The Review of Economics and Statistics, 2013, vol. 95, issue 3, 1002-1017

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.

Keywords: collusion; agglomeration; lodging industry; switching regression model (search for similar items in EconPapers)
JEL-codes: C3 L13 L4 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (23)

Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/REST_a_00289 link to full text PDF (application/pdf)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Making friends with your neighbors? Agglomeration and tacit collusion in the lodging industry (2011) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:95:y:2013:i:3:p:1002-1017

Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535

Access Statistics for this article

The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().

 
Page updated 2025-03-22
Handle: RePEc:tpr:restat:v:95:y:2013:i:3:p:1002-1017