How Currency Exchange Rates Affect the Demand for U. S. Hotel Rooms

Abstract This study addresses the question of how currency exchange rates affect aggregate hotel demand in the U.S. over time, among chain scales, and gateway cities. The effect is isolated after controlling for hotel room rates, real personal income, and other demand determinants. Exchange rates had a significant, although minor, influence on U.S. hotel demand from 1992 Q1 to 2012 Q1. Disaggregate analyses using data organized by time periods corresponding to Internet availability does not offer new insights about how exchange rates affect U.S. hotel demand. Analyses using chain scale and gateway city data, however, reveal that exchange rates strongly influence hotel demand in luxury, upper-upscale, and upscale segments, with a much weaker relationship among lower-price hotels. The exchange rate effect is strongest for upper-price hotels in gateway cities.

[1]  The Impact of Exchange Rates on Hotel Occupancy , 2009 .

[2]  H. Gray.  The Demand for International Travel by the United States and Canada , 1966 .

[3]  H. Theil,et al.  Linear Aggregation of Economic Relations. , 1955 .

[4]  S. Lee,et al.  Internationalization and exposure to foreign currency risk: An examination of lodging firms , 2010 .

[5]  Amrik Singh.  The interest rate exposure of lodging firms. , 2009 .

[6]  D. Rubinfeld,et al.  Econometric models and economic forecasts , 2002 .

[7]  M. Loretan.  Indexes of the Foreign Exchange Value of the Dollar , 2005 .

[8]  H. Iroegbu.  The Effects of Airfares and Foreign Exchange Rates on Global Tourism , 2006 .

[9]  Modelling International Tourism Demand in Thailand , 2009 .

[10]  Peter E. Kennedy.  A Guide to Econometrics , 1979 .

[11]  Extent of hedging in the US lodging industry , 2007 .

[12]  J. Corgel.  What is a Gateway City?: A Hotel Market Perspective , 2012 .

[13]  Sheryl E. Kimes,et al.  Forecasting for Hotel Revenue Management: Testing Aggregation Against Disaggregation , 2001 .

[14]  A Revisit to the Impact of Exchange Rates on Tourism Demand: The Case Of Italy , 2010 .

[15]  S. F. Witt,et al.  Econometric Models for Forecasting International Tourism Demand , 1987 .

[16]  D. Rugg,et al.  The Choice of Journey Destination: A Theoretical and Empirical Analysis , 1973 .

[17]  G. Tavlas,et al.  Econometric modelling of partial adjustment: The Cochrane-Orcutt procedure, flaws and remedies , 1988 .

[18]  J. Zietz,et al.  Department of Economics and Finance Working Paper Series @bullet Determinants of House Prices: a Quantile Regression Approach † , 2022 .

[19]  T. Breusch.  TESTING FOR AUTOCORRELATION IN DYNAMIC LINEAR MODELS , 1978 .

[20]  Robert McNown,et al.  A Test for Autocorrelation in Models with Lagged Dependent Variables , 1980 .

[21]  L. Godfrey.  TESTING AGAINST GENERAL AUTOREGRESSIVE AND MOVING AVERAGE ERROR MODELS WHEN THE REGRESSORS INCLUDE LAGGED DEPENDENT VARIABLES , 1978 .

[22]  Geoffrey I. Crouch,et al.  The Study of International Tourism Demand: A Survey of Practice , 1994 .

[23]  W. Wheaton,et al.  The Cyclic Behavior of the U.S. Lodging Industry , 1998 .

[24]  L. J. GoodmanJr.,et al.  Aggregation of Local Housing Markets , 1998 .

[25]  Charles Chang,et al.  To Hedge or Not to Hedge , 2009 .