pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE …

finance; for such tasks as pattern reorganization, and time series forecasting, have dramatically increased. Many central … banks use forecasting models based on ANN methodology for predicting various macroeconomic indicators, like inflation, GDP … ANN model with conventional univariate time series forecasting models such as AR(1) and ARIMA based models and observed …

finance; for such tasks as pattern reorganization, and time series forecasting, have dramatically increased. Many central … banks use forecasting models based on ANN methodology for predicting various macroeconomic indicators, like inflation, GDP … ANN model with conventional univariate time series forecasting models such as AR(1) and ARIMA based models and observed …

from internet search queries performed on the search engine Google. The forecasting performance of the Google Inflation …, Survey of Professional Forecasters, and the Michigan Survey. While useful in developing models of forecasting inflation …

, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to …

Michigan Surveys of Consumers. While these measures have been useful in developing models of forecasting inflation, the data …

This paper proposes a new method of forecasting euro area quarterly real GDP that uses area-wide indicators, which are … information approach outperforms alternative forecasting methods in terms of forecast accuracy. …

policy is not implemented in the same way and the NNAR models are better for inflation forecasting. …