Michael Pfarrhofer

Michael Pfarrhofer

Universität Salzburg

H-index: 12

Europe-Austria

About Michael Pfarrhofer

Michael Pfarrhofer, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Universität Salzburg, specializes in the field of Bayesian Econometrics, Time Series Analysis, Forecasting, Empirical Macroeconomics.

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

Financial markets and legal challenges to unconventional monetary policy

Nowcasting with mixed frequency data using Gaussian processes

Investigating growth-at-risk using a multicountry nonparametric quantile factor model

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

Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs

Forecasts with Bayesian vector autoregressions under real time conditions

Measuring international uncertainty using global vector autoregressions with drifting parameters

Forecasting euro area inflation using a huge panel of survey expectations

Michael Pfarrhofer Information

University

Position

___

Citations(all)

381

Citations(since 2020)

378

Cited By

62

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Universität Salzburg

Google Scholar

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Michael Pfarrhofer Skills & Research Interests

Bayesian Econometrics

Time Series Analysis

Forecasting

Empirical Macroeconomics

Top articles of Michael Pfarrhofer

Title

Journal

Author(s)

Publication Date

Financial markets and legal challenges to unconventional monetary policy

European Economic Review

Stefan Griller

Florian Huber

Michael Pfarrhofer

2024/4

Nowcasting with mixed frequency data using Gaussian processes

arXiv preprint arXiv:2402.10574

Niko Hauzenberger

Massimiliano Marcellino

Michael Pfarrhofer

Anna Stelzer

2024/2/16

Investigating growth-at-risk using a multicountry nonparametric quantile factor model

Journal of Business & Economic Statistics

Todd E Clark

Florian Huber

Gary Koop

Massimiliano Marcellino

Michael Pfarrhofer

2024/1/24

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

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

Forecasts with Bayesian vector autoregressions under real time conditions

Journal of Forecasting

Michael Pfarrhofer

2023/11

Measuring international uncertainty using global vector autoregressions with drifting parameters

Macroeconomic Dynamics

Michael Pfarrhofer

2023

Forecasting euro area inflation using a huge panel of survey expectations

International Journal of Forecasting

Florian Huber

Luca Onorante

Michael Pfarrhofer

2023/10/9

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

Empirical Economics

Florian Huber

Gregor Kastner

Michael Pfarrhofer

2023/5/29

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

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

Tail Forecasting with Multivariate Bayesian Additive Regression Trees

International Economic Review

Todd E Clark

Florian Huber

Gary Koop

Massimiliano Marcellino

Michael Pfarrhofer

2023/8

Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs

International Economic Review

Martin Feldkircher

Florian Huber

Gary Koop

Michael Pfarrhofer

2022/11

Modeling tail risks of inflation using unobserved component quantile regressions

Journal of Economic Dynamics and Control

Michael Pfarrhofer

2022/7/11

Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy

The Scandinavian Journal of Economics

Niko Hauzenberger

Michael Pfarrhofer

2021/12

On the effectiveness of the European Central Bank's conventional and unconventional policies under uncertainty

Journal of Economic Behavior & Organization

Niko Hauzenberger

Michael Pfarrhofer

Anna Stelzer

2021/9/25

Measuring the Effectiveness of US Monetary Policy during the COVID-19 Recession

Scottish Journal of Political Economy

Martin Feldkircher

Florian Huber

Michael Pfarrhofer

2021/7

Dynamic shrinkage in time-varying parameter stochastic volatility in mean models

Journal of Applied Econometrics

Florian Huber

Michael Pfarrhofer

2021/3

Stochastic model specification in Markov switching vector error correction models

Studies in Nonlinear Dynamics & Econometrics

Niko Hauzenberger

Florian Huber

Michael Pfarrhofer

Thomas O Zörner

2021/4/1

The dynamic impact of monetary policy on regional housing prices in the United States

Real Estate Economics

Manfred M Fischer

Florian Huber

Michael Pfarrhofer

Petra Staufer‐Steinnocher

2021/12

See List of Professors in Michael Pfarrhofer 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: 24
Florian Huber

Florian Huber

Universität Salzburg

H-index: 8
Niko Hauzenberger

Niko Hauzenberger

Universität Salzburg

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