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Bayesian Collapsed Gibbs Sampling for a Stochastic Volatility Model with a Di...
This dataset has no description
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Focused Bayesian prediction (replication data)
We propose a new method for conducting Bayesian prediction that delivers accurate predictions without correctly specifying the unknown true data generating process. A prior is... -
Composite likelihood methods for large Bayesian VARs with stochastic volatili...
Adding multivariate stochastic volatility of a flexible form to large vector autoregressions (VARs) involving over 100 variables has proved challenging owing to computational... -
Modeling the effects of grade retention in high school (replication data)
A dynamic discrete-choice model is set up to estimate the effects of grade retention in high school, both in the short run (end-of-year evaluation) and in the long run (drop-out... -
Stochastic monotonicity in intergenerational mobility tables (replication data)
The aim of this paper is to test for stochastic monotonicity in intergenerational socio-economic mobility tables. In other words, we question whether having a parent from a high...
