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This paper evaluates a novel sampling algorithm, called shotgun stochastic search (S³), for Bayesian model averaging in the context of finding predictors for inflation when the set of potential predictors is large. This is a relevant case in the forecasting literature, where often hundreds of...
Persistent link: https://www.econbiz.de/10010273611
This paper addresses the relative importance of monetary indicators for forecasting inflation in the euro area in a Bayesian framework. Bayesian Model Averaging (BMA)based on predictive likelihoods provides a framework that allows for the estimation of inclusion probabilities of a particular...
Persistent link: https://www.econbiz.de/10005083269
Persistent link: https://www.econbiz.de/10008933269
This paper addresses the relative importance of monetary indicators for forecasting inflation in the euro area in a Bayesian framework. Bayesian Model Averaging (BMA)based on predictive likelihoods provides a framework that allows for the estimation of inclusion probabilities of a particular...
Persistent link: https://www.econbiz.de/10003461220
This paper addresses the relative importance of monetary indicators for forecasting inflation in the euro area in a Bayesian framework. Bayesian Model Averaging (BMA)based on predictive likelihoods provides a framework that allows for the estimation of inclusion probabilities of a particular...
Persistent link: https://www.econbiz.de/10012991146
This paper addresses the relative importance of monetary indicators for forecasting inflation in the euro area in a Bayesian framework. Bayesian Model Averaging (BMA) based on predictive likelihoods provides a framework that allows for the estimation of inclusion probabilities of a particular...
Persistent link: https://www.econbiz.de/10012729799
Persistent link: https://www.econbiz.de/10010255792
Persistent link: https://www.econbiz.de/10010255793
This paper discusses the forecasting performance of alternative factor models based on a large panel of quarterly time series for the german economy. One model extracts factors by static principals components analysis, the other is based on dynamic principal components obtained using frequency...
Persistent link: https://www.econbiz.de/10003029896
This paper compares two single-equation approaches from the recent nowcast literature: Mixed-data sampling (MIDAS) regressions and bridge equations. Both approach are used to nowcast a low-frequency variable such as quarterly GDP growth by higher-frequency business cycle indicators. Three...
Persistent link: https://www.econbiz.de/10010432327