, which includes secular changes in the economic structure and a substantial reduction of output volatility. We find two … robust structural breaks in volatility at the end of WWII and in the mid-eighties, showing that the GM still holds in the … longer perspective. Furthermore, we show that GM volatility reduction is only linked to expansion features. We also date the …

risk estimation approach the study also applies a dynamicpanel estimator. The estimates suggest that the average farmer …. It suggest a microeconometric method for measuring flooding related risk preferences of affectedindividuals. The method …-experimental approach to measure differences in the risk attitudes of farmers located in highflooding risk areas versus farmers located in …

topic of this dissertation is the estimation of DSGE models on a rich panel of macroeconomic and financial data by combining … dimension, the likelihood-based estimation of the data-rich DSGE model is computationally very challenging. To reduce the costs … model-based forecast for variables that do not explicitly appear in the model (non-core variables). Estimation is performed …

la literatura teórica. ; This paper builds an innovative composite world trade cycle index (WTI) by means of a dynamic … factor model to perform short-term forecasts of world trade growth of both goods and (usually neglected) services. The … useful tool for tracking and forecasting world trade in real time; ii) the model is able to infer global trade cycles very …

have gained in importance as a tool for approximating credit risk. In this paper, we fit a dynamic factor model to …

volatility, which reduced the accuracy of nowcasting models. In this paper, we present a revision of the Spain-STING model – one …