Indicators of hotel profitability: Model selection using Akaike information criteria

被引:1
作者
Taylor, D. Christopher [1 ]
Snipes, Michael [2 ]
Barber, Nelson A. [3 ]
机构
[1] Univ Houston, Conrad N Hilton Coll Hotel & Restaurant Managemen, Houston, TX USA
[2] Univ South Florida Manatee, Econ, Sarasota, FL USA
[3] Univ New Hampshire, Peter T Paul Coll Business & Econ, Durham, NH 03824 USA
关键词
Hotels; model selection; Akaike information criteria; marketing; profitability;
D O I
10.1177/1467358415625105
中图分类号
F [经济];
学科分类号
02 ;
摘要
Research in the important area of evaluating the relationship of hotel room sales with hotel amenities, for instance, food and beverage sales is limited. While this study focuses on differences in overall profitability when considering the transient rate at hotels, the authors have utilized data from hotels with food and beverage operations in order to provide additional insights for this sector. The results show that when modeling the profitability of a hotel, several items are important and should be included when analyzing profitability. The segment of the market, type of hotel, location of the hotel, number of rooms, and average daily rate are all found to be important factors in determining profitability and should be included in models of profit. The transient rate is controlled for in all models but is found to be a significant factor in determining the profitability of a hotel in only some specifications.
引用
收藏
页码:61 / 71
页数:11
相关论文
共 50 条
[41]   Quantum information criteria for model selection in quantum state estimation [J].
Yano, Hiroshi ;
Yamamoto, Naoki .
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2023, 56 (40)
[42]   Empirical information criteria for time series forecasting model selection [J].
Billah, B ;
Hyndman, RJ ;
Koehler, AB .
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2005, 75 (10) :831-840
[43]   PanIC: Consistent information criteria for general model selection problems [J].
Nguyen, Hien Duy .
AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 2024, 66 (04) :441-466
[44]   Quantifying model selection uncertainty via bootstrapping and Akaike weights [J].
Rigdon, Edward ;
Sarstedt, Marko ;
Moisescu, Ovidiu-Ioan .
INTERNATIONAL JOURNAL OF CONSUMER STUDIES, 2023, 47 (04) :1596-1608
[45]   Model selection using information criteria under a new estimation method: least squares ratio [J].
Deniz, Eylem ;
Akbilgic, Oguz ;
Howe, J. Andrew .
JOURNAL OF APPLIED STATISTICS, 2011, 38 (09) :2043-2050
[46]   PERFORMANCE OF INFORMATION CRITERIA FOR MODEL SELECTION IN A LATENT GROWTH CURVE MIXTURE MODEL [J].
Usami, Satoshi .
JOURNAL JAPANESE SOCIETY OF COMPUTATIONAL STATISTICS, 2014, 27 (01) :17-48
[47]   On the selection of predictors by using greedy algorithms and information theoretic criteria [J].
Li, Fangyao ;
Triggs, Christopher M. M. ;
Giurcaneanu, Ciprian Doru .
AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 2023, 65 (02) :77-100
[48]   Using Experimental Data and Information Criteria to Guide Model Selection for Reaction–Diffusion Problems in Mathematical Biology [J].
David J. Warne ;
Ruth E. Baker ;
Matthew J. Simpson .
Bulletin of Mathematical Biology, 2019, 81 :1760-1804
[49]   Information and posterior probability criteria for model selection in local likelihood estimation [J].
Irizarry, RA .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2001, 96 (453) :303-315
[50]   Model selection for dynamical systems via sparse regression and information criteria [J].
Mangan, N. M. ;
Kutz, J. N. ;
Brunton, S. L. ;
Proctor, J. L. .
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2017, 473 (2204)