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Growth Determinants Revisited Using Limited-Information Bayesian Model Averag...
We revisit the growth empirics debate using a novel limited-information Bayesian model averaging framework in short T panels that addresses model uncertainty, dynamics, and... -
Large Bayesian vector auto regressions (replication data)
This paper shows that vector auto regression (VAR) with Bayesian shrinkage is an appropriate tool for large dynamic models. We build on the results of De Mol and co-workers... -
The transmission mechanism in a changing world (replication data)
The paper aims to identify those factors that cause changes in the speed and strength of the international transmission of output shocks from the USA to specified European... -
Can inflation data improve the real-time reliability of output gap estimates?...
Potential output plays a central role in monetary policy and short-term macroeconomic policy making. Yet, characterizing the output gap involves a trend-cycle decomposition, and...
