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General Bayesian time‐varying parameter vector autoregressions for modeling g...
US yield curve dynamics are subject to time-variation, but there is ambiguity about its precise form. This paper develops a vector autoregressive (VAR) model with time-varying... -
Dynamic shrinkage in time‐varying parameter stochastic volatility in mean mod...
Successful forecasting models strike a balance between parsimony and flexibility. This is often achieved by employing suitable shrinkage priors that penalize model complexity... -
SPATIAL FILTERING, MODEL UNCERTAINTY AND THE SPEED OF INCOME CONVERGENCE IN E...
In this paper we put forward a Bayesian model averaging method aimed at performing inference under model uncertainty in the presence of potential spatial autocorrelation. The... -
Random Recursive Partitioning: a matching method for the estimation of the av...
In this paper we introduce the Random Recursive Partitioning (RRP) matching method. RRP generates a proximity matrix which might be useful in econometric applications like... -
Monitoring structural change in dynamic econometric models (replication data)
The classical approach to testing for structural change employs retrospective tests using a historical data set of a given length. Here we consider a wide array of...
