whether Google Trends provides significant forecasting improvements over models without search data. Second, we assess whether … a high-frequency variable (weekly Google Trends) is more useful for accurate forecasting than a low-frequency variable … arrivals, is useful for predicting the actual number of tourist arrivals. The MIDAS forecasting model that employs weekly …

-parametric approaches of seasonal adjustment. Then, we compare the forecasting performance of these methods. The empirical results militate … in favour of the TRAMO-SEATS method. In fact, this approach provides the best forecast. In terms of forecasting …

statistical categories, we compare the probability density function (pdf) of detrended career statistics to the PDF of raw career …

show excellent forecasting performances of specified models. According to forecasting output, Montenegro can expect …

. The model implies a duration of hotel visit and an occupancy probability. We find that a 10 percent increase in the price …

show that the algorithm is very competitive compared to some of the widely used automated forecasting procedures. Using …