Showing 1 - 10 of 511
Persistent link: https://www.econbiz.de/10010191237
Interconnections between Eurozone and United States booms and busts and among major Eurozone economies are analyzed using a Panel Markov-Switching VAR model. The model accommodates changes in low and high data frequencies and incorporates endogenous time-varying transition matrices of...
Persistent link: https://www.econbiz.de/10011335013
higher frequency auxiliary data only for forecasting (see Giannone, Monti and Reichlin (2016)). The second method transforms … our method substantially decreases forecasting errors for recessions, but casting the model in a monthly frequency …
Persistent link: https://www.econbiz.de/10013465707
Recent articles suggest that a Bayesian vector autoregression (BVAR) with shrinkage is a good forecast device even when the number of variables is large. In this paper we evaluate different variants of the BVAR with respect to their forecast accuracy for euro area real GDP growth and HICP...
Persistent link: https://www.econbiz.de/10010257225
This paper investigates the accuracy of forecasts from four DSGE models for inflation, output growth and the federal funds rate using a real-time dataset synchronized with the Fed’s Greenbook projections. Conditioning the model forecasts on the Greenbook nowcasts leads to forecasts that are as...
Persistent link: https://www.econbiz.de/10009792175
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical US data vintages synchronized with the Fed's Greenbook...
Persistent link: https://www.econbiz.de/10010392192
This paper uses a panel VAR (PVAR) approach to estimating, analysing and forecasting price dynamics in four different …
Persistent link: https://www.econbiz.de/10010411883
Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter estimates and hence inaccurate forecasts. Recent articles suggest that a large Bayesian vector autoregression (BVAR) with sufficient prior information dominates competing approaches....
Persistent link: https://www.econbiz.de/10010342246
This paper derives new theoretical results for forecasting with Global VAR (GVAR) models. It is shown that the presence … Purchasing Managers Indices (PMIs) for forecasting global (48 countries) growth, and compare forecasts from AugGVAR models with a … number of data-rich forecasting methods, including Lasso, Ridge, partial least squares and factor-based methods. It is found …
Persistent link: https://www.econbiz.de/10010438196
This paper discusses how the forecast accuracy of a Bayesian vector autoregression (BVAR) is affected by introducing the zero lower bound on the federal funds rate. As a benchmark I adopt a common BVAR specification, including 18 variables, estimated shrinkage, and no nonlinearity. Then I...
Persistent link: https://www.econbiz.de/10011306293