Bayesian inference

Bayesian Doubly Adaptive Elastic-Net Lasso for VAR Shrinkage

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Date published:
January 10, 2012
Abstract:
We develop a novel Bayesian doubly adaptive elastic-net Lasso (DAELasso) approach for VAR shrinkage. DAELasso achieves data selection and coefficients shrinkage in a data based manner. It constructively deals with the explanatory variables that tend to be highly collinear by encouraging grouping effect. In addition, it allows for different degree of shrinkages for different coefficients. Rewriting the multivariate Laplace distribution as a scale mixture, we establish closed-form posteriors that can be drawn from a Gibbs sampler. We compare the forecasting performance of DAELasso to that of other popular Bayesian methods using US macro economic data. The results suggest that DAELasso is a useful complement to the available Baysian VAR shrinkage methods.
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Evaluating An Estimated New Keynesian Small Open Economy Model

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EABCN/CEPR Discussion Paper 35/2007
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Date published:
January 1, 2007
Abstract:
This paper estimates and tests a new Keynesian small open economy model in the tradition of Christiano, Eichenbaum, and Evans (2005) and Smets and Wouters (2003) using Bayesian estimation techniques on Swedish data. To account for the switch to an inflation targeting regime in 1993 we allow for a discrete break in the central bank's instrument rule. A key equation in the model - the uncovered interest rate parity (UIP) condition - is well known to be rejected empirically. Therefore we explore the consequences of modifying the UIP condition to allow for a negative correlation between the risk premium and the expected change in the nominal exchange rate. The results show that the modification increases the persistence and volatility in the real exchange rate and that this model has an empirical advantage compared with the standard UIP specification.
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