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Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach
Sun, Yuying1,2,3; Zhang, Jian1,3,4; Li, Xin5; Wang, Shouyang1,2,3
2021-12-07
发表期刊JOURNAL OF TRAVEL RESEARCH
ISSN0047-2875
页码19
摘要Existing research has shown that combination can effectively improve tourism forecasting accuracy compared with single model. However, the model uncertainty and structural instability in combination for out-of-sample tourism forecasting may influence the forecasting performance. This paper proposes a novel forecast combination approach based on time-varying jackknife model averaging (TVJMA), which can more efficiently handle structural changes and nonstationary trends in tourism data. Using Hong Kong tourism demand from five major tourism source regions as an empirical study, we investigate whether our proposed nonparametric TVJMA-based approach can improve tourism forecasting accuracy further. Empirical results show that the proposed TVJMA-based approach outperforms other competitors including single model and three combination methods in most cases. Findings indicate the outstanding performance of our method is robust to various forecasting horizons and different estimation periods.
关键词forecast combination nonparametric estimation structural changes tourism demand time-varying jackknife model averaging
DOI10.1177/00472875211061206
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[72073126] ; National Natural Science Foundation of China[72091212] ; National Natural Science Foundation of China[71973116] ; National Natural Science Foundation of China[71601021] ; China NNSF[71988101]
WOS研究方向Social Sciences - Other Topics
WOS类目Hospitality, Leisure, Sport & Tourism
WOS记录号WOS:000729827000001
出版者SAGE PUBLICATIONS INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/59671
专题中国科学院数学与系统科学研究院
通讯作者Li, Xin
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Ctr Forecasting Sci, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China
4.China Secur Co Ltd, Beijing, Peoples R China
5.Univ Sci & Technol Beijing, Sch Econ & Management, 30 Xueyuan Rd, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Sun, Yuying,Zhang, Jian,Li, Xin,et al. Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach[J]. JOURNAL OF TRAVEL RESEARCH,2021:19.
APA Sun, Yuying,Zhang, Jian,Li, Xin,&Wang, Shouyang.(2021).Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach.JOURNAL OF TRAVEL RESEARCH,19.
MLA Sun, Yuying,et al."Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach".JOURNAL OF TRAVEL RESEARCH (2021):19.
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