forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor … on euro-area data show that the now- and forecasting performance of our new model is superior to that of the subset …

This paper performs a comparative analysis of estimation as well as of out-of-sample forecasting results of more than … estimates of the migration function. Out-of-sample forecasting results indicate the following: (i) the standard fixed effects … variables estimators, (iv) forecasting performance of heterogenous estimators is mediocre in our data set. …

partial least squares (PLS) regression to extract dynamic factors from the data set. Our forecasting analysis considers ten …

forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions … the algorithm in forecasting GDP growth 3- to 12-months ahead is assessed through simulations in pseudo-real-time for six …

This paper performs a comparative analysis of estimation as well as of out-of-sample forecasting results of more than … estimates of the migration function. Out-of-sample forecasting results indicate the following: (i) the standard fixed effects … variables estimators, (iv) forecasting performance of heterogenous estimators is mediocre in our data set. …

statistical benchmarks, and revisit the forecasting performance of changes in commodity currencies as efficient predictors of … least squares (PLS) regression to extract dynamic factors from the data set. Our forecasting analysis considers ten …