Investigating the business cycle properties of tourist flows to Barbados
This paper evaluates whether the tourism cycles of Barbados can be regarded as a direct consequence of business cycles of the UK, US, Canada and Barbados. The cyclical components of the series are extracted using the structural time series framework by Harvey, 1989, and the interrelations between the variables are evaluated using innovation accounting. The variance decompositions suggests that shocks to the source country business cycle series can explain up to 25 percent of the future variation of the Barbadian tourism cycle. Shocks to the Barbadian business cycle only seem to significantly affect the Canadian tourist cycle. This implies that for tourist arrivals from the US and UK are more influenced by economic developments in their respective home countries, rather than those of Barbados. Finally, Granger-causality tests indicate that past values of the source country business cycles can help better predict present values tourist arrivals to Barbados, while past values of the Barbadian cycle only Granger-cause the Canadian tourist cycle. An interesting observation is that there appears to be some delay in the reaction of the tourism cycle to the business cycles. Thus, policy makers should take advantage of the delay between the two cycles, and adopt some form of countercyclical policy to soften the impact of negative income shocks in the UK, US or Canada on the Barbadian economy.
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- Jackman M.M., 2012. "Revisiting The Tourism-Led Growth Hypothesis For Barbados: A Disaggregated Market Approach," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(2).
- Timothy Cogley & James M. Nason, 1993.
"Effects of the Hodrick-Prescott filter on trend and difference stationary time series: implications for business cycle research,"
Working Papers in Applied Economic Theory
93-01, Federal Reserve Bank of San Francisco.
- Cogley, Timothy & Nason, James M., 1995. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 253-278.
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