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Competitive Hotel Pricing in Uncertain Times

dc.contributor.authorEnz, Cathy A.
dc.contributor.authorCanina, Linda
dc.contributor.authorLomanno, Mark
dc.date.accessioned2020-09-10T15:26:58Z
dc.date.available2020-09-10T15:26:58Z
dc.date.issued2009-06-01
dc.description.abstractThis analysis of the pricing (ADR), demand (occupancy), and revenue (RevPAR) dynamics in the U.S. hotel industry for the period 2001 through 2007 demonstrates the potentially negative consequences of attempting to maintain market share by offering prices below those of direct competitors. This seven-year study examined the outcomes of pricing behavior on total rooms revenue and occupancy for hotels and their competitors in both bad times (2001-2003) and good (2004-2007). The results are the same in both periods. Hotels that offer average daily rates above those of their direct competitors experienced lower occupancies compared to those other hotels, but recorded higher relative RevPARs. For 67,008 hotel observations, this pattern of demand and revenue behavior was consistent for hotels in all market segments, from luxury to economy. Overall the results suggest that the best way to have better revenue performance than your competitors is to have higher average rates. The findings suggest that lodging demand may be inelastic in local markets, and hotel operators may wish to resist the pressure to undercut competitors when possible.
dc.description.legacydownloadsEnz_202009_20Competetive_20hotel_20pricing.pdf: 720 downloads, before Aug. 1, 2020.
dc.identifier.other6535214
dc.identifier.urihttps://hdl.handle.net/1813/71045
dc.language.isoen_US
dc.rightsRequired Publisher Statement: © Cornell University. This report may not be reproduced or distributed without the express permission of the publisher
dc.subjecthotels
dc.subjectpricing
dc.subjectrevenue per available room (RevPAR)
dc.subjectaverage daily rates (ADR)
dc.titleCompetitive Hotel Pricing in Uncertain Times
dc.typearticle
local.authorAffiliationEnz, Cathy A.: cae4@cornell.edu Cornell University
local.authorAffiliationCanina, Linda: lc29@cornell.edu Cornell University

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