Predicting hotel occupancies with public data

Candy Mei Fung Tang, Brian King and Stephen Pratt
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Candy Mei Fung Tang: University of Macau, China
Brian King: Hong Kong Polytechnic University, Hong Kong
Stephen Pratt: Hong Kong Polytechnic University, Hong Kong

Tourism Economics, 2017, vol. 23, issue 5, 1096-1113

Abstract: This study demonstrates the value of using readily available Organisation for Economic Co-Operation and Development (OECD) indicators to estimate hotel occupancy trends in a particular territory (Hong Kong) drawing upon almost four decades of data (1972–2010). The indicators predict the economic climate at global, regional and national levels by providing comprehensive statistically based economic information. They should be of particular benefit for resource-constrained small and/or independent hotel operations for whom accurate occupancy predictions facilitate a more targeted approach to strategic investments. Using the OECD indicators offers hoteliers an alternative to acquiring expensive data and/or consultant inputs. The article shows the merit of OECD composite indicators generally and of the consumer confidence index in particular as publicly available and reliable data which can provide hoteliers with early signals about shifting demand. It contributes to tourism economics by demonstrating the merit of indices as a supplement to both established demand forecasts and as an input to hotel revenue management systems.

Keywords: OECD; hotel occupancy; revenue management (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:23:y:2017:i:5:p:1096-1113

DOI: 10.1177/1354816616666670

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