Improving the forecasting of inbound tourism demand based on the mixed-frequency data sampling approach: evidence from Australia

Yuting Gonga SILC Business School, Shanghai University, Shanghai, People’s Republic of China;b Australian Study Center, Shanghai University, Shanghai, People’s Republic of ChinaView further author information

Mengjie Jinc Department of Logistics Management, School of Marketing and Logistics Management, Nanjing University of Finance and Economics, Nanjing, People’s Republic of ChinaView further author information

Kum Fai Yuend School of Civil and Environmental Engineering, Nanyang Technological University, SingaporeView further author information

Xueqin Wange Department of International Logistics, Chung-Ang University, Seoul, South KoreaView further author information

Wenming Shif Centre for Maritime and Logistics Management, Australian Maritime College, University of Tasmania, Launceston, AustraliaCorrespondence[email protected]
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Improving the forecasting of inbound tourism demand based on the mixed-frequency data sampling approach: evidence from Australia

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Improving the forecasting of inbound tourism demand based on the mixed-frequency data sampling approach: evidence from Australia

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