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In this paper we estimate a Bayesian vector autoregressive model with factor stochastic volatility in the error term to … quantity during estimation. Only a limited number of contributions to the literature estimate uncertainty and its macroeconomic …
Persistent link: https://www.econbiz.de/10011978764
In this paper we investigate transmission and spillovers of local and foreign economic policy uncertainty shocks to unemployment in two largest economic regions in the world - the United States (US) and the Euro area (EA). For this purpose we deploy Bayesian Markov-switching structural vector...
Persistent link: https://www.econbiz.de/10011437769
We study state dependence in the impact of monetary policy shocks over the leverage cycle for a panel of 10 euro area countries. We use a Bayesian Threshold Panel SVAR with regime classifications based on credit and house prices cycles. We find that monetary policy shocks trigger a smaller...
Persistent link: https://www.econbiz.de/10012241107
This paper applies volatility measures and VAR spectral analytic techniques to give a thorough description of the ….The central findings are summarized with regard to (i) national product share, contribution-to-variance and volatility …
Persistent link: https://www.econbiz.de/10011408998
Persistent link: https://www.econbiz.de/10014301314
specified fiscal sector. The estimation results point to the existence of important complementarities between private and …
Persistent link: https://www.econbiz.de/10013097458
specified fiscal sector. The estimation results point to the existence of important complementarities between private and …
Persistent link: https://www.econbiz.de/10013100017
This study suggests a two-step approach to identifying and interpreting regional convergence clubs in Europe. The first step calculates Bayesian probabilities for various assignments of regions to two clubs using a general stochastic space-time dynamic panel relationship between growth rates and...
Persistent link: https://www.econbiz.de/10011685263
The extended Hodrick-Prescott (HP) method was developed by Polasek (2011) for a class of data smoother based on second order smoothness. This paper develops a new extended HP smoothing model that can be applied for spatial smoothing problems. In Bayesian smoothing we need a linear regression...
Persistent link: https://www.econbiz.de/10009685470
This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting in ation risks. The proposed parametric methodology bridges the empirically established benefits of TVP regressions for forecasting in ation with the ability of quantile regression to...
Persistent link: https://www.econbiz.de/10012643282