Showing 1 - 10 of 57
estimation methods. Specifically, we employ VAR models with drifting parameters and stochastic volatility which are used to …
Persistent link: https://www.econbiz.de/10014233967
In this paper, the natural rate of interest in Denmark, Norway and Sweden are estimated. This is done by augmenting the Laubach and Williams (2003) framework with a dynamic factor model linked to economic indicators - a modelling choice which allows us to better identify business cycle...
Persistent link: https://www.econbiz.de/10014252436
contribution uses time series data for a single country with good data quality: Germany. With a specification that includes all … theoretical variations and different appropriate estimation procedures, it is found that only for few pollutants can the typical …
Persistent link: https://www.econbiz.de/10011596747
This paper describes the particular impacts of the financial and economic crisis on central and eastern European (CEE) countries, studies pro-cyclicality of fiscal policies, discusses the impact of the crisis on fiscal policy, and the policy response of various governments. After drawing some...
Persistent link: https://www.econbiz.de/10003874233
This paper proposes a novel and flexible framework to estimate autoregressive models with time-varying parameters. Our setup nests various adaptive algorithms that are commonly used in the macroeconometric literature, such as learning-expectations and forgetting-factor algorithms. These are...
Persistent link: https://www.econbiz.de/10010382183
We assess the bivariate relation between money growth and inflation in the euro area and the United States using hybrid time-varying parameter Bayesian VAR models. Model selection based on marginal likelihoods suggests that the relation is statistically unstable across time in both regions. The...
Persistent link: https://www.econbiz.de/10014252440
Persistent link: https://www.econbiz.de/10000959730
Persistent link: https://www.econbiz.de/10003740047
Persistent link: https://www.econbiz.de/10003776275