Accommodation statistics

The current issues and an innovation

Bibliographic Data

ID21698409
AuthorsNguyễn Văn Trưởng (0000-0001-6594-8562, University of Transport and Communications, corresponding author), Tetsuo Shimizu (0000-0002-6105-4534, Tokyo Metropolitan University), Takeshi Kurihara (0000-0002-2513-9338, Toyo University), Sunkyung Choi (0000-0002-6727-0668, Tokyo Institute of Technology)
Year2022
Volume25
Issue11
Pages1731-1747
Publication date2022-06-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCurrent Issues in Tourism (JOURNAL)
Journal identifiersISSN: 1368-3500 • E-ISSN: 1747-7603
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13683500.2021.1978951
OpenAlexW3201935628
LanguageEN
Citations received1
References cited36

In tourism accommodation statistics, accuracy (variance and bias) is fundamental. However, minimizing both the variance and bias of the estimate is a challenge due to the trade-off between the two. In many countries, tourism accommodation statistics, which popularly developed with the unbiased linear estimator, are less accurate. This study recommends an integration of bootstrap and regression to overcome the challenge. An unbiased linear estimator is used as a benchmark to investigate the integration method’s effectiveness. With realistic accommodation data in Japan, we found that the integration method yields more than two times more accurate results than the unbiased linear estimator. The integration method contributes to an innovation in accommodation statistics in tourism

Accommodation · Econometrics · Economics · Estimator · Geodesy · Geography · Minimum-variance unbiased estimator · Statistics · Tourism · Diverse Aspects of Tourism Research · Economic and Environmental Valuation · Mathematics · Psychology · Urban Transport and Accessibility · Accounting

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