Tourism and economic growth: a time-varying parameter approach

References

• Amaghionyeodiwe, L. A. (2012). A causality analysis of tourism as a long-run economic growth factor in Jamaica. Tourism Economics, 18, 1125–1133.
   Web of Science ®Google Scholar
• Arslantürk, Y., & Atan, S. (2012). Dynamic relation between economic growth, foreign exchange and tourism incomes: An econometric perspective on Turkey. Journal of Business, Economics & Finance, 1, 30–37.
   Google Scholar
• Arslanturk, Y., Balcilar, M., & Abidin Ozdemir, Z. (2011). Time-varying linkages between tourism receipts and economic growth in a small open economy. Economic Modelling, 28, 664–671.
   Web of Science ®Google Scholar
• Aslan, A. (2008). Türkiye'de Ekonomik Büyüme ve Turizm Đliskisi Üzerine Ekonometrik Analiz, MPRA Paper, No. 10611, posted 19.
   Google Scholar
• Aslan, A. (2013). Tourism development and economic growth in the Mediterranean countries: Evidence from panel Granger causality tests. Current Issues in Tourism, 1, 1–10.
   Google Scholar
• Balaguer, J., & Cantavella-Jordá, M. (2002). Tourism as a long-run economic growth factor: The Spanish case. Applied Economics, 34, 877–884.
   Web of Science ®Google Scholar
• Belloumi, M. (2010). The relationship between tourism receipts, real effective exchange rate and economic growth in Tunisia. International Journal of Tourism Reviews, 12, 550–560.
   Web of Science ®Google Scholar
• Bomhoff, E. J. (1994). Financial forecasting for business and economics. London: Dryden.
   Google Scholar
• Brida, J. G., Pereyra, J. S., Pulina, M., & Such, M. J. (2013). Causality between tourism and long-term economic growth: A critical review of the econometric literature. Innovar, 23, 53–64.
   Google Scholar
• Brown, J. P., Song, H., & McGillivray, A. (1997). Forecasting UK house prices: A time varying coefficient approach. Economic Modelling, 14, 529–548.
   Web of Science ®Google Scholar
• Dritsakis, N. (2004). Tourism as a long-run economic growth factor: An empirical investigation for Greece using a causality analysis. Tourism Economics, 10, 305–316.
   Google Scholar
• Ekanayake, E. M., & Long, A. E. (2012). Tourism development and economic growth in developing countries. The International Journal of Business and Finance Research, 6, 61–63.
   Google Scholar
• Engle, R. F., & Watson, M. W. (1987). The Kalman filter: Applications to forecasting and rational expectation models. In T. F. Bewley (Ed.), Advances in econometrics: Fifth World Congress (Vol. I, pp. 245–283). Cambridge: Cambridge University Press.
   Google Scholar
• Fayissa, B., Nsiah, C., & Tadesse, B. (2007). The impact of tourism on economic growth and development in Africa. Middle Tennessee State University, Department of Economics and Finance, Working Paper Series No. 200716.
   Google Scholar
• Grossman, G. M., & Helpman, E. (1991). Trade, knowledge spillovers and growth. European Economic Review, 35, 517–526.
   Web of Science ®Google Scholar
• Gunduz, L., & Hatemi-J, A. (2005). Is the tourism-led growth hypothesis valid for Turkey? Applied Economics Letters, 12, 499–504.
   Web of Science ®Google Scholar
• Hamilton, J. D. (1994a). Time series analysis. Princeton, NJ: Princeton University Press.
   Google Scholar
• Hamilton, J. D. (1994b). State space models. Chapter 50. In R. F. Engle & D. L. McFadden (Eds.), Handbook of econometrics (Vol. 4, pp. 3039–3080). Amsterdam: Elsevier Science B.V.
   Google Scholar
• Harvey, A. C. (1989). Forecasting, structural time series models and the Kalman filter. Cambridge: Cambridge University Press.
   Google Scholar
• Ivanov, S., & Webster, C. (2006, October 7–8). Measuring the impact of tourism on economic growth. GEOTOUR 2006 Conference, Kosice, Slovakia (pp. 21–30)
   Google Scholar
• Kalman, R. E. (1960). A new approach to linear filtering and prediction problems, transitions ASME. Journal of Basic Engineering, 82, 35–45.
   Google Scholar
• Kasimati, E. (2011). Economic impact of tourism on Greece's economy: Cointegration and causality analysis. International Research Journal of Finance and Economics, 79, 79–85.
   Google Scholar
• Kasman, A., & Kırbas, K. S. (2004). Turizm gelirleri ve ekonomik bütünlesme venedensellik iliskisi. İktisat Isletme Finans Dergisi, 19, 122–131.
   Google Scholar
• Kim, C. J. (1993). Sources of monetary growth uncertainty and economic activity: Time varying parameter model with heteroskedastic disturbances. The Review of Economics and Statistics, 75, 483–492.
   Web of Science ®Google Scholar
• Koopman, S. J., Shephard, N., & Doornik, J. A. (1999). Statistical algorithms for models in state space using SsfPack 2.2. Econometrics Journal, 2, 107–160.
   Google Scholar
• Lashkarizadeh, M., Keshmir, Z., ParhiziGashti, H., & BeigpoorShahrivar, R. (2012). Evaluation of the relationship between tourism industry and economic growth in Iran. Asian Journal of Business and Management Sciences, 1, 88–97.
   Google Scholar
• Leea, C. C., & Chang, C. P. (2008). Tourism development and economic growth: A closer look at panels. Tourism Management, 29, 180–192.
   Web of Science ®Google Scholar
• Li, G., Wong, K. K. F., Song, H., & Witt, S. F. (2006). Tourism demand forecasting: A time varying parameter error correction model. Journal of Travel Research, 45, 175–185.
   Google Scholar
• Ministry of Tourism. (2012). (T.C. Turizm Bakanlıgi). Retrieved from http://www.turizm.gov.tr.
   Google Scholar
• Narayan, P. K., Sharma, S. S., & Bannigidadmath, D. (2013). Does tourism predict macroeconomic performance in Pacific Island countries? Economic Modelling, 33, 780–786.
   Web of Science ®Google Scholar
• Odhiambo, N. M. (2012). Is tourism development an engine for economic growth? The Zambian experience. Economics, Management, and Financial Markets, 4, 87–100.
   Google Scholar
• Oh, C. (2005). The contribution of tourism development to economic growth in the Korean economy. Tourism Management, 26, 39–44.
   Web of Science ®Google Scholar
• Park, J. Y., & Hahn, S. B. (1999). Cointegrating regressions with time varying coefficients. Econometric Theory, 15, 664–703.
   Web of Science ®Google Scholar
• Park, J. Y., & Zhao, G. (2010). An estimation of US gasoline demand: A smooth time varying cointegration approach. Energy Economics, 32, 110–120.
   Web of Science ®Google Scholar
• Ridderstaat, J., Croes, R., & Nijkamp, P. (2013). Modelling tourism development and long-run economic growth in Aruba, Tinbergen Institute Discussion Paper.
   Google Scholar
• Riddington, G. (1993). Time varying coefficient models and their econoforecasting performance. Omega: International Journal of Management Sciences, 21, 571–583.
   Web of Science ®Google Scholar
• Sequeira, T., & Campos, C. (2005). International tourism and economic growth: A panel data approach. Natural Resources Management, 26, 1–28.
   Google Scholar
• Song, H., Liu, X., & Romilly, P. (1996). A time varying parameter approach to the Chinese aggregate consumption function. Economics of Planning, 29, 185–203.
   Google Scholar
• Song, H., Liu, X., & Romilly, P. (1997). A comparative study of modelling the demand for food in the United States and the Netherlands. Journal of Applied Econometrics, 12, 593–613.
   Web of Science ®Google Scholar
• Song, H., Romilly, P., & Liu, X. (1998). The UK consumption function and structural instability: Improving forecasting performance using a time varying parameter approach. Applied Economics, 30, 975–983.
   Web of Science ®Google Scholar
• Song, H., & Witt, S. F. (2000). Tourism demand modelling and forecasting. Modern Econometrics Approaches. Oxford: Pergamon.
   Google Scholar
• Song, H., & Wong, K. F. (2003). Tourism demand modelling: A time varying parameter approach. Journal of Travel Research, 42, 57–64.
   Google Scholar
• Srinivasan, P., Santhosh Kumar, P. K., & Ganesh, L. (2012). Tourism and economic growth in Sri Lanka. Environment and Urbanization Asia, 3, 397–405.
   Google Scholar
• Stock, J. H., & Watson, M. W. (1996). Evidence on structural instability in macroeconomic time series relations. Journal of Business and Economic Statistics, 14, 11–30.
   Web of Science ®Google Scholar
• Surugiu, C., & Surugiu, M. R. (2013). Is the tourism sector supportive of economic growth? Empirical evidence on Romanian tourism. Tourism Economics, 19, 115–132.
   Web of Science ®Google Scholar
• United Nations World Tourism Organization. (2011). Retrieved fromhttp://www.unwto.org.
   Google Scholar
• World Bank. (2013). World development indicators. World Bank: Washington, DC. Retrieved from http://www.worldbank.org.
   Google Scholar
• World Trade Organization. (1996). Retrieved fromhttp://www.wto.org.
   Google Scholar