Özet:

In this study, the stationarity of tourism income monthly series covering the 2012-2019 period in Turkey were examined. When developing tourism policies, it is important for policy makers whether the tourism income series used for forecasting is stationary. Nonstationary series indicates that the effect of incoming shocks is permanent and prevents predictions for the future. Therefore, the stationarity of the tourism income series is important for forecasting modeling. In this regard, the stationarity of Turkey's tourism income is tested using Fourier series KPSS stationarity test. Take the Becker. (2006) developed by Kwitkowski et al. (1992) is based on the stationarity test KPSS type proposed. In the literature, most of the studies that test the stationarity of tourism income series are included in the convergence hypothesis and regression. In this study, the test using Fourier stationarity test of the stationarity of Turkey's tourism income series, examined the literature of Turkey's tourism income series of time-series feature a powerful test will contribute to respect. The obtained results indicate that Turkey's stable of monthly data covering the period 2012-2019. This result shows that regression analyzes and future forecasts using tourism income series will be reliable for the mentioned periods.

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