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Estimating the duration of different seasons and their impact on hotel room prices
Institution:1. Department of Tourism, Leisure and Hospitality Management, National Chi Nan University, No. 1, University Road, Puli, Nantou, 54561, Taiwan;2. Department of Culinary Arts and Hotel Management, HungKuang University, No. 1018, Sec. 6, Taiwan Boulevard, Shalu District, Taichung City, 43302, Taiwan;3. Department of Management and Marketing, Faculty of Business, The Hong Kong Polytechnic University, No. 11, Yuk Choi Road, Hung Hom, Kowloon, Hong Kong Special Administrative Region;4. Rosen College of Hospitality Management, University of Central Florida, 9907 Universal Boulevard, Orlando, Florida, 32819-9357, USA;1. School of Business and Tourism Management, Yunnan University, Kunming 650091, China;2. Tourism and Social Administration College, Nanjing Xiaozhuang University, Nanjing 211171, China;3. School of Hospitality Business Management, Carson College of Business, Washington State University, Pullman, WA 99164-4742, USA;4. College of Tourism and Landscape Architecture, Guilin University of Technology, Guilin 541006, China;5. Department of Apparel, Events, and Hospitality Management, College of Human Sciences, Iowa State University, Ames, IA 50011-1078, USA;1. Ningbo University-University of Angers Joint Institute/Sino-European Institute of Tourism and Culture, Ningbo University, Ningbo, 315201, China;2. Business School, Sichuan University, No. 29 Wangjiang Road, Chengdu, 610064, China;3. School of Business Administration, Guangdong University of Finance & Economics, Guangzhou, 510320, China
Abstract:The purpose of the study is to accurately measure the span of different seasons and its effect on the fluctuation of the occupancy rate and the average room rates in the hospitality sector. While prior studies have concentrated on measuring seasonality using calendar months, this study takes a different approach by measuring seasons in terms of the date count so that the exact starting and ending date of a season can be identified. This step involves adopting a non-parametric methodology that split the time scale into several small parts to obtain a better fit of the relationship and that can detect the starting and end of the season when given specific dates.
Keywords:Measuring seasonality  Occupancy rate  Room prices  Hospitality  Pricing
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