Florian Huber

Florian Huber

Universität Salzburg

H-index: 24

Europe-Austria

About Florian Huber

Florian Huber, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at Universität Salzburg, specializes in the field of Macroeconometrics, Empirical Macro, Bayesian Econometrics, Time Series Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian vector autoregressions?

Nonlinearities in macroeconomic tail risk through the lens of big data quantile regressions

Gaussian process vector autoregressions and macroeconomic uncertainty

Investigating Growth-at-Risk Using a Multicountry Non-parametric Quantile Factor Model

Financial markets and legal challenges to unconventional monetary policy

Nowcasting economic activity in European regions using a mixed-frequency dynamic factor model

Introducing shrinkage in heavy-tailed state space models to predict equity excess returns

Macroeconomic forecasting using BVARs

Florian Huber Information

University

Position

Professor of Economics

Citations(all)

1837

Citations(since 2020)

1569

Cited By

814

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

44

i10Index(since 2020)

38

Email

University Profile Page

Universität Salzburg

Google Scholar

View Google Scholar Profile

Florian Huber Skills & Research Interests

Macroeconometrics

Empirical Macro

Bayesian Econometrics

Time Series Analysis

Top articles of Florian Huber

Title

Journal

Author(s)

Publication Date

Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian vector autoregressions?

Journal of Forecasting

Martin Feldkircher

Luis Gruber

Florian Huber

Gregor Kastner

2024/3/11

Nonlinearities in macroeconomic tail risk through the lens of big data quantile regressions

Journal of Applied Econometrics

Jan Prüser

Florian Huber

2024/3

Gaussian process vector autoregressions and macroeconomic uncertainty

Journal of Business & Economic Statistics

Niko Hauzenberger

Florian Huber

Massimiliano Marcellino

Nico Petz

2024/2/20

Investigating Growth-at-Risk Using a Multicountry Non-parametric Quantile Factor Model

Journal of Business & Economic Statistics

Todd E Clark

Florian Huber

Gary Koop

Massimiliano Marcellino

Michael Pfarrhofer

2024/1/24

Financial markets and legal challenges to unconventional monetary policy

European Economic Review

Stefan Griller

Florian Huber

Michael Pfarrhofer

2024/4

Nowcasting economic activity in European regions using a mixed-frequency dynamic factor model

arXiv preprint arXiv:2401.10054

Luca Barbaglia

Lorenzo Frattarolo

Niko Hauzenberger

Dominik Hirschbuehl

Florian Huber

...

2024/1/18

Introducing shrinkage in heavy-tailed state space models to predict equity excess returns

Empirical Economics

Florian Huber

Gregor Kastner

Michael Pfarrhofer

2023/5/29

Macroeconomic forecasting using BVARs

Niko Hauzenberger

Florian Huber

Gary Koop

2023/8/14

Bayesian Nonlinear Regression using Sums of Simple Functions

Available at SSRN 4743524

Florian Huber

2023/12/4

Are Phillips curves in CESEE still alive and well behaved?

Focus on European economic integration

Florian Huber

Josef Schreiner

2023

Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks

arXiv preprint arXiv:2305.16827

Florian Huber

Gary Koop

2023/5/26

Tail forecasting with multivariate Bayesian additive regression trees

International Economic Review

Todd E Clark

Florian Huber

Gary Koop

Massimiliano Marcellino

Michael Pfarrhofer

2023/8

Predictive Density Combination Using a Tree-Based Synthesis Function

Mikael Khan

Elyse Sullivan

2022/11/7

General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields

Journal of Applied Econometrics

Manfred M Fischer

Niko Hauzenberger

Florian Huber

Michael Pfarrhofer

2023/1

Coarsened Bayesian VARs--Correcting BVARs for Incorrect Specification

arXiv preprint arXiv:2304.07856

Florian Huber

Massimiliano Marcellino

2023/4/16

Bayesian forecasting in economics and finance: a modern review

Gael M Martin

David T Frazier

Worapree Maneesoonthorn

Ruben Loaiza-Maya

Florian Huber

...

2023/7/18

Dynamic shrinkage priors for large time-varying parameter regressions using scalable Markov Chain Monte Carlo methods

Studies in Nonlinear Dynamics & Econometrics

Niko Hauzenberger

Florian Huber

Gary Koop

2023/11/2

Nowcasting in a pandemic using non-parametric mixed frequency VARs

Journal of Econometrics

Florian Huber

Gary Koop

Luca Onorante

Michael Pfarrhofer

Josef Schreiner

2023/1

Real-time inflation forecasting using non-linear dimension reduction techniques

International Journal of Forecasting

Niko Hauzenberger

Florian Huber

Karin Klieber

2023/4/1

A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies

The Annals of Applied Statistics

Florian Huber

Tamás Krisztin

Michael Pfarrhofer

2023/6

See List of Professors in Florian Huber University(Universität Salzburg)

Co-Authors

H-index: 67
Gary Koop

Gary Koop

University of Strathclyde

H-index: 64
Massimiliano Marcellino

Massimiliano Marcellino

Università Commerciale Luigi Bocconi

H-index: 57
Manfred M. Fischer

Manfred M. Fischer

Wirtschaftsuniversität Wien

H-index: 46
Jesus Crespo Cuaresma

Jesus Crespo Cuaresma

Wirtschaftsuniversität Wien

H-index: 19
Jonas Dovern

Jonas Dovern

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 12
Michael Pfarrhofer

Michael Pfarrhofer

Universität Salzburg

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