Showing 1 - 10 of 27,712
subject to stochastic volatility. It enables the disentanglement of dynamic structures in both the mean and the variance of … the observed time series. We develop a simulated maximum likelihood estimation method based on importance sampling and … applied to quarterly and monthly US inflation in an empirical study. We find that the persistence of quarterly inflation has …
Persistent link: https://www.econbiz.de/10011809984
Persistent link: https://www.econbiz.de/10011708530
accounts for time variation in macroeconomic volatility, known as the great moderation. In particular, we consider an … volatility processes and mixture distributions for the irregular components and the common cycle disturbances enable us to … account for all the heteroskedasticity present in the data. The empirical results are based on a Bayesian analysis and show …
Persistent link: https://www.econbiz.de/10011376640
Persistent link: https://www.econbiz.de/10014303987
Persistent link: https://www.econbiz.de/10011946516
Persistent link: https://www.econbiz.de/10011966001
Persistent link: https://www.econbiz.de/10012176808
Persistent link: https://www.econbiz.de/10011341627
Persistent link: https://www.econbiz.de/10009655700
To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...
Persistent link: https://www.econbiz.de/10011346480