Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available … simulations are obviously useful to evaluate the properties and forecasting power of competing estimators, the empirical set … unemployment data for France, Germany, Italy, Spain and Switzerland. Additionally, we test different forecasting horizons, in order …

priors entertained for all variables at all forecasting horizons. …

need to be included in a VAR if interest is in forecasting or impulse response analysis of a given set of variables. We … including the selected variables into VARs typically improves forecasting accuracy at short horizons. …

small set of macroeconomic fundamentals being relevant for forecasting. …

model used for the measurement of current and forecasting of the future customer profitability. Modern customer … research model uses RFM model to define forecasting variables and neural network, multivariate regression analysis and binary … logistic regression as forecasting methods. This paper shows the ways how proposed methods can be used in process of …

to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing …