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Noncausal Bayesian Vector Autoregression (replication data)
We consider Bayesian analysis of the noncausal vector autoregressive model that is capable of capturing nonlinearities and effects of missing variables. Specifically, we devise... -
Interconnections Between Eurozone and US Booms and Busts Using a Bayesian Pan...
The proposed panel Markov-switching VAR model accommodates changes in low and high data frequencies and incorporates endogenous time-varying transition matrices of... -
Forecasting with Bayesian Vector Autoregressions Estimated Using Professional...
We propose a Bayesian shrinkage approach for vector autoregressions (VARs) that uses short-term survey forecasts as an additional source of information about model parameters.... -
On the Low-Frequency Relationship Between Public Deficits and Inflation (repl...
We estimate the low-frequency relationship between fiscal deficits and inflation and pay special attention to its potential time variation by estimating a time-varying vector... -
A Silver Lifeboat, not Silver Fetters: Why and how the Silver Standard Insula...
We use counterfactual simulations based on an estimated dynamic stochastic general equilibrium model to demonstrate why China was affected less than other major countries during... -
Bayesian Graphical Models for STructural Vector Autoregressive Processes (rep...
This paper proposes a Bayesian, graph-based approach to identification in vector autoregressive (VAR) models. In our Bayesian graphical VAR (BGVAR) model, the contemporaneous...
