This paper provides early assessments of current U.S. Nominal GDP growth, which has been considered as a potential new monetary policy target. The nowcasts are computed using the exact amount of information that policy makers have available at the time predictions are made. However, real time...

The response by regional and national economies to exogenous impulses has a well-established literature in both spatial econometrics and in mainstream econometrics and is of considerable importance given the current economic crisis. This paper focuses on dynamic counterfactual predictions and...

This paper studies how to combine real-time forecasts from a broad range of Bayesian vector autoregression (BVAR) specifications and survey forecasts by optimally exploiting their properties. To do that, it compares the forecasting performance of optimal pooling and tilting techniques, including...

We propose a Bayesian VAR model with stochastic volatility and time varying skewness to estimate the degree of labour at risk in the euro area and in the United States. We model the asymmetry of the shocks to changes in the unemployment rate as a function of real activity and financial risk...

In this paper we characterize the unemployment rate for the main cities of the Bío Bío Region using the state-space multivariate approach, in order to isolate and evaluate their tendency and seasonal components. We present theoretical expressions for each structural model for monthly...

Even though the output and unemployment relation has always been a key theme in applied macroeconometrics research, the global hypothesis of modular short and long run dynamics assuming classic macroeconomic assumptions, is still to become a widely discussed subject in the field, and, therefore...

We propose a Bayesian VAR model with stochastic volatility and time varying skewness to estimate the degree of labour at risk in the euro area and in the United States. We model the asymmetry of the shocks to changes in the unemployment rate as a function of real activity and financial risk...

This paper studies how to combine real-time forecasts from a broad range of Bayesian vector autoregression (BVAR) specifications and survey forecasts by optimally exploiting their properties. To do that, it compares the forecasting performance of optimal pooling and tilting techniques, including...

As asserted in standard literature, there is an implicit circular relationship between the productivity growth and the potential level of production (and, consequently, the estimation of the natural rate of unemployment is also altered). In order to avoid such emerging impediment in any...

The formation of the European Union (EU) is the one of the biggest political – economic events of the last 50 years. The aim of this study is to develop EU economy functioning system dynamic model. Main research method is system dynamics. General scheme of EU economy system dynamic model is...