Does the combination of models With different explanatory variables improve tourism demand forecasting performance?

The aim of this study is to assess whether combining econometric models with different explanatory variables can contribute better tourism demand forecasts. Inbound the UK from seven leading markets forecast, respectively, based on quarterly data using both individual and combination models. Causal that serve as constituents in take two specifications which are identified influencing factors. empirical results show generally including produce predictions according predictive accuracy measures statistical tests. It suggests forecasting approach superior one, diversified information embedded should be integrated improve performance.