-
Recurrent conditional heteroskedasticity (replication data)
We propose a new class of financial volatility models, called the REcurrent Conditional Heteroskedastic (RECH) models, to improve both in-sample analysis and out-of-sample... -
A regularization approach to common correlated effects estimation (replicatio...
Cross-section average-augmented panel regressions introduced by Pesaran (2006) have been a popular empirical tool to estimate panel data models with common factors. However, the... -
An automated prior robustness analysis in Bayesian model comparison (replicat...
It is well-known that the marginal likelihood, the gold standard for Bayesian model comparison, can be sensitive to prior hyperparameter choices. However, most models require... -
Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions (repli...
We propose a release-augmented dynamic factor model (RA-DFM) that allows to quantify the role of a country's data flow in nowcasting both early Gross Domestic Product (GDP)...
