Showing 1 - 10 of 53
Bayesian approaches to the estimation of DSGE models are becoming increasingly popular. Prior knowledge is normally …
Persistent link: https://www.econbiz.de/10009640615
We apply both classical and Bayesian econometric methods to characterize the dynamic behavior of inflation for twelve industrial countries over the period 1984-2003, using four different price indices for each country. In particular, we estimate a univariate autoregressive (AR) model for each...
Persistent link: https://www.econbiz.de/10009636705
We propose a benchmark prior for the estimation of vector autoregressions: a prior about initial growth rates of the …
Persistent link: https://www.econbiz.de/10009640277
The paper presents an incomplete competition model (ICM), where inflation is determined jointly with unit labour cost growth. The ICM is estimated on data for the Euro area and evaluated against existing models, i.e. the implicit inflation equation of the Area Wide model (AWM) - cf. Fagan, Henry...
Persistent link: https://www.econbiz.de/10009636545
It is standard in applied work to select forecasting models by ranking candidate models by their prediction mean square error (PMSE) in simulated ou-of-sample (SOOS) forecasts. Alternatively, forecast models may be selected using information criteria (IC). We compare the asymptotic and...
Persistent link: https://www.econbiz.de/10009639853
We propose a new method for medium-term forecasting using exogenous information. We first show how a shifting-mean autoregressive model can be used to describe characteristic features in inflation series. This implies that we decompose the inflation process into a slowly moving nonstationary...
Persistent link: https://www.econbiz.de/10009640913
In this paper we study risk-neutral densities (RNDs) for the German stock market. The use of option prices allows us to quantify the risk-neutral probabilities of various levels of the DAX index. For the period from December 1995 to November 2001, we implement the mixture of log-normals model...
Persistent link: https://www.econbiz.de/10009639855
To measure contagion empirically, we propose using a Bayesian time-varying coefficient model estimated with Markov ChainMonte Carlo methods. The proposed measure works in the joint presence of heteroskedasticity and omitted variables and does not require knowledge of the timing of the crisis. It...
Persistent link: https://www.econbiz.de/10009635914
Structural VARs have been extensively used in empirical macroeconomics during the last two decades, particularly in analyses of monetary policy. Existing Bayesian procedures for structural VARs are at best confined to a severly limited handling of cointegration restrictions. This paper extends...
Persistent link: https://www.econbiz.de/10009636519
This paper examines the properties of G-7 cycles using a multicountry Bayesian panel VAR model with time variations, unit specific dynamics and cross country interdependences. We demonstrate the presence of a significant world cycle and show that country specific indicators play a much smaller...
Persistent link: https://www.econbiz.de/10009636535