A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings

Abstract Tourist accommodation expenditure is a widely investigated topic as it represents a major contribution to the total tourist expenditure. The identification of the determinant factors is commonly based on supply-driven applications while little research has been made on important travel characteristics. This paper proposes a demand-driven analysis of tourist accommodation price by focusing on data generated from room bookings. The investigation focuses on modeling the relationship between key travel characteristics and the price paid to book the accommodation. To accommodate the distributional characteristics of the expenditure variable, the analysis is based on the estimation of a quantile regression model. The findings support the econometric approach used and enable the elaboration of relevant managerial implications.

[1]  M. Becerra,et al.  Being better vs. being different: differentiation, competition, and pricing strategies in the Spanish hotel industry. , 2013 .

[2]  Geoffrey I. Crouch,et al.  Segmenting Markets by Travel Expenditure Patterns: The Case of International Visitors to Australia , 2006 .

[3]  Juan Gabriel Brida,et al.  Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay , 2014 .

[4]  Juan Gabriel Brida,et al.  Determinants of tourist expenditure: a review of microeconometric models , 2013 .

[5]  Germà Coenders,et al.  Effect on Prices of the Attributes of Holiday Hotels: A Hedonic Prices Approach , 2003 .

[6]  David C. Bojanic,et al.  Price Bundling and Travel Product Pricing Practices Used by Online Channels of Distribution , 2009 .

[7]  Jen-te Yang.  Identifying the attributes of blue ocean strategies in hospitality , 2012 .

[8]  Wei-Ting Hung,et al.  Pricing determinants in the hotel industry: Quantile regression analysis , 2010 .

[9]  Seoki Lee,et al.  Consumers' willingness to pay for green initiatives of the hotel industry , 2012 .

[10]  Christer Thrane,et al.  Domestic tourism expenditures: The non-linear effects of length of stay and travel party size , 2011 .

[11]  R. Herrmann,et al.  Hotel roomrates under the influence of a large event: The Oktoberfest in Munich 2012 , 2014 .

[12]  Shaojing Lu,et al.  Modeling hotel room price with geographically weighted regression , 2011 .

[13]  Rob Law,et al.  Determinants of hotel room price , 2011 .

[14]  R. Koenker,et al.  Regression Quantiles , 2007 .

[15]  Z. Schwartz.  Changes in Hotel Guests’ Willingness to Pay as the Date of Stay Draws Closer , 2000 .

[16]  Joel L. Horowitz,et al.  Binary Response Models: Logits, Probits and Semiparametrics , 2001 .

[17]  Juan Luis Nicolau,et al.  Heckit modelling of tourist expenditure: evidence from Spain , 2005 .

[18]  M. Skidmore,et al.  Hedonic Pricing and Willingness to Pay for Bed and Breakfast Amenities in Southeast Wisconsin , 2003 .

[19]  Ruggero Sainaghi.  RevPAR determinants of individual hotels: Evidences from Milan , 2011 .

[20]  Eugeni Aguiló Perez,et al.  Tourist expenditure for mass tourism markets , 2000 .

[21]  Guenter H Schamel.  Weekend vs. midweek stays: Modelling hotel room rates in a small market , 2012 .

[22]  A. Font,et al.  Accommodation determinants of seasonal patterns , 2007 .

[23]  Chiang-Ming Chen,et al.  Research Note: Market Disequilibrium Effect on Hotel Prices , 2014 .

[24]  SooCheong (Shawn) Jang,et al.  Room Rates of U.S. Airport Hotels: Examining the Dual Effects of Proximities , 2011 .

[25]  Catalina Juaneda,et al.  Pricing the Time and Location of a Stay at a Hotel or Apartment , 2011 .

[26]  Shih-Yun Hsu,et al.  Robust and alternative estimators for "better" estimates for expenditures and other "long tail" distributions. , 2008 .

[27]  R. Law,et al.  Where to find the lowest hotel room rates on the internet? The case of Hong Kong , 2007 .

[28]  Christer Thrane.  Hedonic Price Models and Sun-and-Beach Package Tours: The Norwegian Case , 2005 .

[29]  K. Nusair,et al.  Financial characteristics and outperformance: Evidence of a contemporary framework from the US lodging industry , 2012 .

[30]  Christer Thrane,et al.  Examining the determinants of room rates for hotels in capital cities: The Oslo experience , 2007 .

[31]  Ziene Mottiar.  Holiday Home Owners, a Route to Sustainable Tourism Development? An Economic Analysis of Tourist Expenditure Data , 2006 .

[32]  Srikanth Beldona,et al.  Room Rate Parity Analysis Across Different Hotel Distribution Channels in the U.S , 2010 .

[33]  Chew Ging Lee.  The determinants of hotel room rates: Another visit with Singapore's data , 2011 .

[34]  J. Herrington,et al.  Quality and Pricing in the Hotel Industry , 2004 .

[35]  Ching-Fu Chen,et al.  An Application of Hedonic Pricing Analysis to the Case of Hotel Rooms in Taipei , 2010 .