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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 abenchmark I adopt a common BVAR specification, including 18 variables, estimatedshrinkage, and no nonlinearity. Then I entertain...
Persistent link: https://www.econbiz.de/10011388143
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/10010352397
subjective choices in the setting of the prior. Moreover, it performs very well both in terms of out-of-sample forecasting …
Persistent link: https://www.econbiz.de/10011605539
distribution. As an empirical illustration, we use euro area data and compare the forecasting performance of the New Area …
Persistent link: https://www.econbiz.de/10011605581
story-telling and policy analysis were in the forefront of applications since its inception, the forecasting perspective of … models are inferior in ex-ante forecasting a crisis. Surprisingly however, it turned out that not all but those models which … only detect the turning point of the Austrian business cycle early in 2008 but they also succeeded in forecasting the …
Persistent link: https://www.econbiz.de/10011630409
We propose a prior for VAR models that exploits the panel structure of macroeconomic time series while also providing shrinkage towards zero to address overfitting concerns. The prior is flexible as it detects shared dynamics of individual variables across endogenously determined groups of...
Persistent link: https://www.econbiz.de/10013366009
Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter estimates and hence inaccurate forecasts. Recent articlessuggest that a large Bayesian vector autoregression (BVAR) with sufficient prior information dominates competing approaches....
Persistent link: https://www.econbiz.de/10010312051
We propose a method to incorporate information from Dynamic Stochastic General Equilibrium (DSGE) models into Dynamic Factor Analysis. The method combines a procedure previously applied for Bayesian Vector Autoregressions and a Gibbs Sampling approach for Dynamic Factor Models. The factors in...
Persistent link: https://www.econbiz.de/10010316078
methodological contributions, especially with regard to economic forecasting. …
Persistent link: https://www.econbiz.de/10012157628
variables in the model, rather than just on future paths as it is usually done in the conditional forecasting literature. The … forecasting densities of a BVAR and a DSGE model on information about the marginal densities of future oil prices. The results …-inflation over the considered forecasting horizon. Finally, a real-time forecasting exercise yields that introducing market …
Persistent link: https://www.econbiz.de/10014374354