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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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Likelihood-Based Inference and Prediction in Spatio-Temporal Panel Count Mode...
We develop a panel count model with a latent spatio-temporal heterogeneous state process for monthly severe crimes at the census-tract level in Pittsburgh, Pennsylvania. Our... -
Refining Stylized Facts from Factor Models of Inflation (replication data)
Factor models of disaggregate inflation indices suggest that sectoral shocks generate the bulk of sectoral inflation variance, but no persistence. Aggregate shocks, by contrast,... -
Non-Gaussian dynamic Bayesian modelling for panel data (replication data)
A first order autoregressive non-Gaussian model for analysing panel data is proposed. The main feature is that the model is able to accommodate fat tails and also skewness, thus... -
Inter-state dynamics of invention activities, 1930–2000 (replication data)
We study the dynamics of the cross-section distribution of patents per capita for the 48 continental US states from 1930 to 2000 using a discrete-state Markov chain. We test for...
