Forecasting tourism demand: Developing a general nesting spatiotemporal model
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Xiaoying Jiao | Gang Li | Jason Li Chen | Gang Li | J. Chen | Xiaoying Jiao
[1] C. Witt,et al. Forecasting tourism demand: A review of empirical research , 1995 .
[2] Haiyan Song,et al. Forecasting tourism recovery amid COVID-19 , 2021, Annals of Tourism Research.
[3] Haiyan Song,et al. Impacts of the Financial and Economic Crisis on Tourism in Asia , 2010 .
[4] Sergio J. Rey,et al. US Regional Income Convergence: A Spatial Econometric Perspective , 1999 .
[5] Yu Zheng,et al. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction , 2016, AAAI.
[6] Haiyan Song,et al. Tourism demand modelling and forecasting—A review of recent research , 2008 .
[7] Yang Yang,et al. Spatial effects in regional tourism growth , 2014 .
[8] Peter Fuleky,et al. Forecasting in a Mixed Up World: Nowcasting Hawaii Tourism , 2017 .
[9] C. Manski. Identification of Endogenous Social Effects: The Reflection Problem , 1993 .
[10] Haiyan Song,et al. A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting , 2019, Annals of Tourism Research.
[11] Kwok-Leung Tsui,et al. Forecasting tourist arrivals with machine learning and internet search index , 2019 .
[12] Haiyan Song,et al. An empirical study of outbound tourism demand in the UK , 2000 .
[13] Gang Li,et al. Forecasting tourist arrivals using time-varying parameter structural time series models , 2011 .
[14] G. Bernât,et al. DOES MANUFACUTRING MATTER? A SPATIAL ECONOMETRIC VIEW OF KALDOR'S LAWS* , 2006 .
[15] J. Paul Elhorst,et al. Spatial Panel Data Analysis , 2017, Encyclopedia of GIS.
[16] J. Paul Elhorst,et al. Dynamic spatial panels: models, methods, and inferences , 2012, J. Geogr. Syst..
[17] Yang Yang,et al. Spatial-temporal forecasting of tourism demand , 2019, Annals of Tourism Research.
[18] Irem Önder,et al. Forecasting city arrivals with Google Analytics , 2016 .
[19] Haiyan Song,et al. Modelling and forecasting the demand for Hong Kong tourism , 2003 .
[20] Rob J. Hyndman,et al. Another Look at Forecast Accuracy Metrics for Intermittent Demand , 2006 .
[21] Jason Li Chen,et al. Tourism forecasting: A review of methodological developments over the last decade , 2018, Tourism Economics.
[22] S. F. Witt,et al. Forecasting the Demand for International Business Tourism , 2003 .
[23] Mike G. Tsionas,et al. Modeling and Forecasting Regional Tourism Demand Using the Bayesian Global Vector Autoregressive (BGVAR) Model , 2019 .
[24] P. Burridge,et al. Testing for a Common Factor in a Spatial Autoregression Model , 1981 .
[25] Justyna Majewska. Inter-regional agglomeration effects in tourism in Poland , 2015 .
[26] Gang Li,et al. Forecasting international tourism demand: a local spatiotemporal model , 2020 .
[27] Bing Pan,et al. Forecasting Destination Weekly Hotel Occupancy with Big Data , 2017 .
[28] Gang Li,et al. Modelling the interdependence of tourism demand: The global vector autoregressive approach , 2017 .
[29] J. LeSage. Introduction to spatial econometrics , 2009 .
[30] Boriss Siliverstovs,et al. A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder , 2008 .
[31] Vera Shanshan Lin,et al. Modeling and Forecasting Chinese Outbound Tourism: An Econometric Approach , 2015 .
[32] Haiyan Song,et al. Pooling in Tourism Demand Forecasting , 2018, Journal of Travel Research.
[33] Haiyan Song,et al. Bayesian models for tourism demand forecasting. , 2006 .
[34] Allan M. Williams,et al. Spatial spillovers of agglomeration economies and productivity in the tourism industry: The case of the UK , 2021 .
[35] Haiyan Song,et al. New developments in tourism and hotel demand modeling and forecasting , 2017 .
[36] Haiyan Song,et al. Recent Developments in Econometric Modeling and Forecasting , 2005 .
[37] Haiyan Song,et al. A meta-analysis of international tourism demand forecasting and implications for practice , 2014 .
[38] Katharina Pijnenburg,et al. Do Regions with Entrepreneurial Neighbours Perform Better? A Spatial Econometric Approach for German Regions , 2014 .
[39] Bing Pan,et al. Forecasting hotel room demand using search engine data. , 2012 .
[40] Wonho Song,et al. Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data , 2017 .
[41] Dimitrios Buhalis,et al. Forecasting tourist arrivals at attractions: Search engine empowered methodologies , 2018, Tourism Economics.
[42] Lung-fei Lee,et al. Bayesian estimation and model selection for spatial Durbin error model with finite distributed lags , 2013 .
[43] Rafael Boix,et al. Sources of growth and competitiveness of local tourist production systems: an application to Italy (1991–2001) , 2008 .
[44] Jan Schnellenbach,et al. What do we know about geographical knowledge spillovers and regional growth?: A survey of the literature , 2006 .
[45] Bing Pan,et al. Predicting Hotel Demand Using Destination Marketing Organization’s Web Traffic Data , 2014 .
[46] Forecasting tourism arrivals with an online search engine data: A study of the Balearic Islands , 2017 .
[47] Jesús Mur,et al. The Spatial Durbin Model and the Common Factor Tests , 2006 .
[48] Gang Li,et al. Forecasting Seasonal Tourism Demand Using a Multiseries Structural Time Series Method , 2019 .
[49] Haiyan Song,et al. Forecasting international tourist flows to Macau , 2006 .
[50] Hengyun Li,et al. Tourism and regional income inequality: Evidence from China , 2016 .
[51] S. Freire,et al. Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources , 2018, Tourism Management.
[52] Stephen F. Witt,et al. Forecasting Tourism Using Univariate and Multivariate Structural Time Series Models , 2001 .
[53] A. Gilbey,et al. Forecasting of Hong Kong airport's passenger throughput , 2014 .
[54] Bernard Fingleton,et al. Empirical growth models with spatial effects , 2006 .
[55] Badi H. Baltagi,et al. Testing Panel Data Regression Models with Spatial Error Correlation , 2002 .
[56] F. Diebold,et al. Comparing Predictive Accuracy , 1994, Business Cycles.
[57] Lung-fei Lee,et al. Estimation of spatial autoregressive panel data models with fixed effects , 2010 .
[58] Robert Fildes,et al. Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures , 2011 .
[59] Prosper F. Bangwayo-Skeete,et al. Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach , 2015 .
[60] Haiyan Song,et al. Scenario Forecasting for Global Tourism , 2020, Journal of Hospitality & Tourism Research.
[61] Chang Liu,et al. Forecasting Tourism Demand with an Improved Mixed Data Sampling Model , 2020 .
[62] Gang Li,et al. Forecasting tourism demand with multisource big data , 2020 .
[63] Kevin K. F. Wong,et al. A Spatial Econometric Approach to Model Spillover Effects in Tourism Flows , 2012 .