Abstract
The standard tourism demand models consider the effects of the bilateral real exchange rate between origin and destination in a linear context. Our study contributes to the literature by incorporating the asymmetric effects of real exchange rate volatility of home and third-countries. We propose a Markov Switching ARDL model to estimate outbound tourism demand over the period of 2002–2019. This model allows us to examine both the short- and long-run effects in the likely presence of asymmetric effects and structural breaks. The results reveal that there are nonlinear asymmetric long- and short-run effects of the third-countries exchange rate volatility. We also identify relevant structural changes coinciding with major events.
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