7 citations · 11 across the 10 of their papers we have counts for
21 papers
Forecasting US Inflation Using Bayesian Nonparametric Models
Todd E. Clark, Florian Huber, Gary Koop +1
The relationship between inflation and predictors such as unemployment is potentially nonlinear with a strength that varies over time, and prediction errors error may be subject to…
Measuring Shocks to Central Bank Independence using Legal Rulings
Stefan Griller, Florian Huber, Michael Pfarrhofer
We investigate the consequences of legal rulings on the conduct of monetary policy. Several unconventional monetary policy measures of the European Central Bank have come under scr…
Investigating Growth at Risk Using a Multi-country Non-parametric Quantile Factor Model
Todd E. Clark, Florian Huber, Gary Koop +2
We develop a Bayesian non-parametric quantile panel regression model. Within each quantile, the response function is a convex combination of a linear model and a non-linear functio…
Subspace Shrinkage in Conjugate Bayesian Vector Autoregressions
Florian Huber, Gary Koop
Macroeconomists using large datasets often face the choice of working with either a large Vector Autoregression (VAR) or a factor model. In this paper, we develop methods for combi…
General Bayesian time-varying parameter VARs for predicting government bond yields
Manfred M. Fischer, Niko Hauzenberger, Florian Huber +1
Time-varying parameter (TVP) regressions commonly assume that time-variation in the coefficients is determined by a simple stochastic process such as a random walk. While such mode…
Capital Flows and the Stabilizing Role of Macroprudential Policies in CESEE
Markus Eller, Niko Hauzenberger, Florian Huber +2
In line with the recent policy discussion on the use of macroprudential measures to respond to cross-border risks arising from capital flows, this paper tries to quantify to what e…