A New Approach Toward Detecting Structural Breaks in Vector Autoregressive Models
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Florian Huber | Gregor Kastner | Martin Feldkircher | Florian Huber | M. Feldkircher | G. Kastner | Martin Feldkircher
[1] J. Stock,et al. Evidence on Structural Instability in Macroeconomic Time Series Relations , 1994 .
[2] M. West,et al. Dynamic Factor Volatility Modeling: A Bayesian Latent Threshold Approach , 2013 .
[3] J. Geweke,et al. Comparing and Evaluating Bayesian Predictive Distributions of Asset Returns , 2008 .
[4] Jouchi Nakajima,et al. Identifying conventional and unconventional monetary policy shocks: a latent threshold approach , 2015 .
[5] G. Koop,et al. Hierarchical Shrinkage in Time-Varying Parameter Models , 2011 .
[6] Simon M. Potter,et al. Estimation and forecasting in models with multiple breaks , 2007 .
[7] M. West,et al. Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models , 2014 .
[8] C. Baumeister,et al. Unconventional Monetary Policy and the Great Recession: Estimating the Macroeconomic Effects of a Spread Compression at the Zero Lower Bound , 2012 .
[9] Lawrence J. Christiano,et al. Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy , 2001, Journal of Political Economy.
[10] Robert B. Litterman,et al. Forecasting and Conditional Projection Using Realistic Prior Distributions , 1983 .
[11] Dimitris Korobilis,et al. Large Time-Varying Parameter VARs , 2012 .
[12] Fabio Canova,et al. Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model , 2001 .
[13] R. Kohn,et al. On Gibbs sampling for state space models , 1994 .
[14] Gregor Kastner,et al. Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models , 2014, Comput. Stat. Data Anal..
[15] Gregor Kastner,et al. Dealing with Stochastic Volatility in Time Series Using the R Package stochvol , 2016, 1906.12134.
[16] S. Frühwirth-Schnatter,et al. Stochastic model specification search for Gaussian and partial non-Gaussian state space models , 2010 .
[17] R. Kohn,et al. Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models , 2005 .
[18] T. Sargent,et al. Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S. , 2003 .
[19] F. Smets,et al. An estimated dynamic stochastic general equilibrium model of the euro area. NBB Working Paper Nr. 35 , 2002 .
[20] M. Tanner,et al. Facilitating the Gibbs Sampler: The Gibbs Stopper and the Griddy-Gibbs Sampler , 1992 .
[21] J. Griffin,et al. Time-Varying Sparsity in Dynamic Regression Models , 2013 .
[22] J. Griffin,et al. Inference with normal-gamma prior distributions in regression problems , 2010 .
[23] S. Frühwirth-Schnatter. Data Augmentation and Dynamic Linear Models , 1994 .
[24] Antonello D’Agostino,et al. Macroeconomic Forecasting and Structural Change , 2009, SSRN Electronic Journal.
[25] Rodney W. Strachan,et al. On the evolution of the monetary policy transmission mechanism , 2009 .
[26] R. McCulloch,et al. Bayesian Inference and Prediction for Mean and Variance Shifts in Autoregressive Time Series , 1993 .
[27] Wolfgang Hörmann,et al. Generating generalized inverse Gaussian random variates , 2013, Statistics and Computing.