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

References

• Ahir, H., Bloom, N., & Furceri, D. (2022). The world uncertainty index. No. w29763. National Bureau of Economic Research. https://doi.org/10.3386/w29763
   Google Scholar
• Akay, G. H., Cifter, A., & Teke, O. (2017). Turkish tourism, exchange rates and income. Tourism Economics, 23(1), 66–77. https://doi.org/10.5367/te.2015.0497
   Web of Science ®Google Scholar
• Alola, U. V., Cop, S., & Alola, A. A. (2019). The spillover effects of tourism receipts, political risk, real exchange rate, and trade indicators in Turkey. International Journal of Tourism Research, 21(6), 813–823. https://doi.org/10.1002/jtr.2307
   Web of Science ®Google Scholar
• Andreou, E., Ghysels, E., & Kourtellos, A. (2013). Should macroeconomic forecasters use daily financial data and how? Journal of Business & Economic Statistics, 31(2), 240–251. https://doi.org/10.1080/07350015.2013.767199
   Web of Science ®Google Scholar
• Barman, H., & Nath, H. K. (2019). What determines international tourist arrivals in India? Asia Pacific Journal of Tourism Research, 24(2), 180–190. https://doi.org/10.1080/10941665.2018.1556712
   Web of Science ®Google Scholar
• Bicak, H. A., Altinay, M., & Jenkins, H. (2005). Forecasting the tourism demand of North Cyprus. Journal of Hospitality & Leisure Marketing, 12(3), 87–99. https://doi.org/10.1300/J150v12n03_06
   Google Scholar
• Canbay, Ş., Coşkun, İ. O., & Kırca, M. (2023). Symmetric and asymmetric frequency-domain causality between tourism demand and exchange rates in Türkiye: A regional comparison. International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-06-2022-0899
   Web of Science ®Google Scholar
• Chang, K. L., & Chang, J. C. D. (2020). Dynamic dependence between US inbound visits and exchange rate. Journal of Hospitality & Tourism Research, 44(6), 1035–1046. https://doi.org/10.1177/1096348020913084
   Web of Science ®Google Scholar
• Cheng, K. M. (2012). Tourism demand in Hong Kong: Income, prices, and visa restrictions. Current Issues in Tourism, 15(3), 167–181. https://doi.org/10.1080/13683500.2011.569011
   Web of Science ®Google Scholar
• Chi, J. (2015). Dynamic impacts of income and the exchange rate on US tourism, 1960-2011. Tourism Economics, 21(5), 1047–1060. https://doi.org/10.5367/te.2014.0399
   Web of Science ®Google Scholar
• Cró, S., & Martins, A. M. (2017). Structural breaks in international tourism demand: Are they caused by crises or disasters? Tourism Management, 63, 3–9. https://doi.org/10.1016/j.tourman.2017.05.009
   PubMed Web of Science ®Google Scholar
• De Vita, G. (2014). The long-run impact of exchange rate regimes on international tourism flows. Tourism Management, 45, 226–233. https://doi.org/10.1016/j.tourman.2014.05.001
   Web of Science ®Google Scholar
• De Vita, G., & Kyaw, K. S. (2013). Role of the exchange rate in tourism demand. Annals of Tourism Research, 43, 624–627. https://doi.org/10.1016/j.annals.2013.07.011
   Web of Science ®Google Scholar
• Diebold, F. X., & Mariano, R. S. (1995). Comparing predictive accuracy. Journal of Business & Economic Statistics, 13(3), 253–263. https://doi.org/10.1080/07350015.1995.10524599
   Web of Science ®Google Scholar
• Dogru, T., Isik, C., & Sirakaya-Turk, E. (2019). The balance of trade and exchange rates: Theory and contemporary evidence from tourism. Tourism Management, 74, 12–23. https://doi.org/10.1016/j.tourman.2019.01.014
   Web of Science ®Google Scholar
• Dogru, T., Sirakaya-Turk, E., & Crouch, G. I. (2017). Remodeling international tourism demand: Old theory and new evidence. Tourism Management, 60, 47–55. https://doi.org/10.1016/j.tourman.2016.11.010
   Web of Science ®Google Scholar
• Dritsakis, N., & Athanasiadis, S. (2000). An econometric model of tourist demand. Journal of Hospitality & Leisure Marketing, 7(2), 39–49. https://doi.org/10.1300/J150v07n02_03
   Google Scholar
• Dwyer, L., Forsyth, P., & Rao, P. (2002). Destination price competitiveness: Exchange rate changes versus domestic inflation. Journal of Travel Research, 40(3), 328–336. https://doi.org/10.1177/0047287502040003010
   Google Scholar
• Eilat, Y., & Einav, L. (2004). Determinants of international tourism: A three-dimensional panel data analysis. Applied Economics, 36(12), 1315–1327. https://doi.org/10.1080/000368404000180897
   Web of Science ®Google Scholar
• Falk, M. (2015). The sensitivity of tourism demand to exchange rate changes: An application to Swiss overnight stays in Austrian mountain villages during the winter season. Current Issues in Tourism, 18(5), 465–476. https://doi.org/10.1080/13683500.2013.810610
   Web of Science ®Google Scholar
• Ghartey, E. E. (2013). Effects of tourism, economic growth, real exchange rate, structural changes and hurricanes in Jamaica. Tourism Economics, 19(4), 919–942. https://doi.org/10.5367/te.2013.0228
   Web of Science ®Google Scholar
• Ghosh, S. (2022). Modelling inbound international tourism demand in Australia: Lessons from the pandemics. International Journal of Tourism Research, 24(1), 71–81. https://doi.org/10.1002/jtr.2483
   Web of Science ®Google Scholar
• Ghysels, E., Sinko, A., & Valkanov, R. (2007). MIDAS regressions: Further results and new directions. Econometric Reviews, 26(1), 53–90. https://doi.org/10.1080/07474930600972467
   Web of Science ®Google Scholar
• Hailemariam, A., & Dzhumashev, R. (2023). The impact of pandemic induced uncertainty shock on tourism demand. Current Issues in Tourism, 26(16), 2575–2581. https://doi.org/10.1080/13683500.2022.2113044
   Web of Science ®Google Scholar
• Hansen, P. R., Lunde, A., & Nason, J. M. (2011). The model confidence set. Econometrica, 79(2), 453–497. https://doi.org/10.3982/ECTA5771
   Web of Science ®Google Scholar
• Harvey, H., & Furuoka, F. (2019). The role of tourism, real exchange rate and economic growth in Singapore: Are there asymmetric effects? Journal of Tourism and Hospitality Management, 7(2), 64–84. https://doi.org/10.15640/jthm.v7n2a8
   Google Scholar
• Hu, M., Li, H., Song, H., Li, X., & Law, R. (2022). Tourism demand forecasting using tourist-generated online review data. Tourism Management, 90, 104490. https://doi.org/10.1016/j.tourman.2022.104490
   Web of Science ®Google Scholar
• Imamboccus, R., Seetanah, B., Jaffur, Z. K., & Nunkoo, R. (2024). The exchange rate; its volatility and tourism demand. Anatolia 1–13. https://doi.org/10.1080/13032917.2024.2303639
   Google Scholar
• Karimi, M. F., Khan, A. A., & Karamelikli, H. (2018). Asymmetric effects of real exchange rate on inbound tourist arrivals in Malaysia: An analysis of price rigidity. International Journal of Tourism Research, 21(2), 156–164. https://doi.org/10.1002/jtr.2249
   Web of Science ®Google Scholar
• Kim, J., & Lee, C. K. (2017). Role of tourism price in attracting international tourists: The case of Japanese inbound tourism from South Korea. Journal of Destination Marketing & Management, 6(1), 76–83. https://doi.org/10.1016/j.jdmm.2016.03.002
   Web of Science ®Google Scholar
• Kuok, R. U. K., Koo, T. T. R., & Lim, C. (2023). Economic policy uncertainty and international tourism demand: A global vector autoregressive approach. Journal of Travel Research, 62(3), 540–562. https://doi.org/10.1177/00472875211072551
   Web of Science ®Google Scholar
• Lee, S. K., & Jang, S. C. S. (2011). Foreign exchange exposure of US tourism-related firms. Tourism Management, 32(4), 934–948. https://doi.org/10.1016/j.tourman.2010.08.008
   Web of Science ®Google Scholar
• Lee, J. J., Lee, Y. M., & Huang, S. J. (2018). Dynamic relationships among tourist arrivals, crime rate, and macroeconomic variables in Taiwan. Asia Pacific Journal of Tourism Research, 23(9), 896–906. https://doi.org/10.1080/10941665.2018.1500380
   Web of Science ®Google Scholar
• Lim, S. K., & Giouvris, E. (2020). Tourist arrivals in Korea: Hallyu as a pull factor. Current Issues in Tourism, 23(1), 99–130. https://doi.org/10.1080/13683500.2017.1372391
   Web of Science ®Google Scholar
• Lim, C., & Zhu, L. (2017). Dynamic heterogeneous panel data analysis of tourism demand for Singapore. Journal of Travel & Tourism Marketing, 34(9), 1224–1234. https://doi.org/10.1080/10548408.2017.1330173
   Web of Science ®Google Scholar
• Lin, Y. C., & Deng, W. S. (2018). Are per capita international tourist arrivals converging? International Review of Economics & Finance, 57, 274–290. https://doi.org/10.1016/j.iref.2018.01.013
   Web of Science ®Google Scholar
• Martins, L. F., Gan, Y., & Ferreira-Lopes, A. (2017). An empirical analysis of the influence of macroeconomic determinants on World tourism demand. Tourism Management, 61, 248–260. https://doi.org/10.1016/j.tourman.2017.01.008
   Web of Science ®Google Scholar
• Meo, M. S., Chowdhury, M. A. F., Shaikh, G. M., Ali, M., & Sheikh, S. M. (2018). Asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan: New evidence from nonlinear ARDL. Asia Pacific Journal of Tourism Research, 23(4), 408–422. https://doi.org/10.1080/10941665.2018.1445652
   Web of Science ®Google Scholar
• Muchapondwa, E., & Pimhidzai, O. (2011). Modelling international tourism demand for Zimbabwe. International Journal of Business and Social Science, 2, 71–81.
   Google Scholar
• Ozturk, I. (2006). Exchange rate volatility and trade: A literature survey. International Journal of Applied Econometrics and Quantitative Studies, 3. SSRN: https://ssrn.com/abstract=1127299
   Google Scholar
• Santana-Gallego, M., Ledesma-Rodríguez, F. J., & Pérez-Rodríguez, J. V. (2010). Exchange rate regimes and tourism. Tourism Economics, 16(1), 25–43. https://doi.org/10.5367/000000010790872015
   Web of Science ®Google Scholar
• Schiff, A., & Becken, S. (2011). Demand elasticity estimates for New Zealand tourism. Tourism Management, 32(3), 564–575. https://doi.org/10.1016/j.tourman.2010.05.004
   Web of Science ®Google Scholar
• Seetanah, B., & Sannassee, R. V. (2015). Marketing promotion financing and tourism development: The case of Mauritius. Journal of Hospitality Marketing & Management, 24(2), 202–215. https://doi.org/10.1080/19368623.2014.914359
   Web of Science ®Google Scholar
• Seetaram, N. (2010). Use of dynamic panel cointegration approach to model international arrivals to Australia. Journal of Travel Research, 49(4), 414–422. https://doi.org/10.1177/0047287509346992
   Web of Science ®Google Scholar
• Sharma, M., Mohapatra, G., & Giri, A. K. (2023). The determinants of inbound tourism demand in India: New evidence from ARDL co-integration approach. Business Perspectives and Research, 1–14.
   Google Scholar
• Sharma, C., & Pal, D. (2020). Exchange rate volatility and tourism demand in India: Unraveling the asymmetric relationship. Journal of Travel Research, 59(7), 1282–1297. https://doi.org/10.1177/0047287519878516
   Web of Science ®Google Scholar
• Shi, W., Gong, Y., Wang, L., & Nikolova, N. (2023). Heterogeneity of inbound tourism driven by exchange rate fluctuations: Implications for tourism business recovery and resilience in Australia. Current Issues in Tourism, 26(3), 450–467. https://doi.org/10.1080/13683500.2021.2023478
   Web of Science ®Google Scholar
• Shi, W., & Li, K. X. (2017). Impact of unexpected events on inbound tourism demand modeling: Evidence of Middle East Respiratory Syndrome outbreak in South Korea. Asia Pacific Journal of Tourism Research, 22(3), 344–356. https://doi.org/10.1080/10941665.2016.1250795
   Web of Science ®Google Scholar
• Song, H., Qiu, R. T. R., & Park, J. (2023). Progress in tourism demand research: Theory and empirics. Tourism Management, 94, 104655. https://doi.org/10.1016/j.tourman.2022.104655
   Web of Science ®Google Scholar
• Song, H., & Witt, S. F. (2000). Tourism demand modelling and forecasting: Modern econometric approaches. Routledge.
   Google Scholar
• Tang, J., Sriboonchitta, S., Ramos, V., & Wong, W. K. (2016). Modelling dependence between tourism demand and exchange rate using the copula-based GARCH model. Current Issues in Tourism, 19(9), 876–894. https://doi.org/10.1080/13683500.2014.932336
   Web of Science ®Google Scholar
• Wang, M. Y., Li, Y. Q., Ruan, W. Q., Zhang, S. N., & Li, R. (2024). Influencing factors and formation process of cultural inheritance-based innovation at heritage tourism destinations. Tourism Management, 100, 104799. https://doi.org/10.1016/j.tourman.2023.104799
   Web of Science ®Google Scholar
• Wen, L., Liu, C., Song, H., & Liu, H. (2021). Forecasting tourism demand with an improved mixed data sampling model. Journal of Travel Research, 60(2), 336–353. https://doi.org/10.1177/0047287520906220
   Web of Science ®Google Scholar
• Wu, J., Li, M., Zhao, E., Sun, S., & Wang, S. (2023). Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach. Tourism Management, 98, 104759. https://doi.org/10.1016/j.tourman.2023.104759
   PubMed Web of Science ®Google Scholar
• Yazdi, S. K., & Khanalizadeh, B. (2017). Tourism demand: A panel data approach. Current Issues in Tourism, 20(8), 787–800. https://doi.org/10.1080/13683500.2016.1170772
   Web of Science ®Google Scholar
• Zhu, L., Lim, C., Xie, W., & Wu, Y. (2018). Modelling tourist flow association for tourism demand forecasting. Current Issues in Tourism, 21(8), 902–916. https://doi.org/10.1080/13683500.2016.1218827
   Web of Science ®Google Scholar