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In this paper we study what professional forecasters actually explain. We use spectral analysis and state space modeling to decompose economic time series into a trend, a business-cycle, and an irregular component. To examine which components are captured by professional forecasters we regress...
Persistent link: https://www.econbiz.de/10011305773
randomly weighting the original predictors. Using recent results from random matrix theory, we obtain a tight bound on the mean …
Persistent link: https://www.econbiz.de/10011531132
We propose a Bayesian infinite hidden Markov model to estimate time- varying parameters in a vector autoregressive model. The Markov structure allows for heterogeneity over time while accounting for state-persistence. By modelling the transition distribution as a Dirichlet process mixture model,...
Persistent link: https://www.econbiz.de/10011569148