Michael Pfarrhofer

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

Forecasts with Bayesian vector autoregressions under real time conditions

Forecasting euro area inflation using a huge panel of survey expectations

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

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

Michael Pfarrhofer Information

University

Position

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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

Google Scholar

Michael Pfarrhofer Skills & Research Interests

Bayesian Econometrics

Time Series Analysis

Forecasting

Empirical Macroeconomics

Top articles of Michael Pfarrhofer

Financial markets and legal challenges to unconventional monetary policy

European Economic Review

2024/4

Florian Huber
Florian Huber

H-Index: 11

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

Nowcasting with mixed frequency data using Gaussian processes

arXiv preprint arXiv:2402.10574

2024/2/16

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

Journal of Business & Economic Statistics

2024/1/24

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

arXiv preprint arXiv:2401.10054

2024/1/18

Forecasts with Bayesian vector autoregressions under real time conditions

Journal of Forecasting

2023/11

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

Forecasting euro area inflation using a huge panel of survey expectations

International Journal of Forecasting

2023/10/9

Florian Huber
Florian Huber

H-Index: 11

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

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

The Annals of Applied Statistics

2023/6

Florian Huber
Florian Huber

H-Index: 11

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

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

Journal of Applied Econometrics

2023/1

Tail Forecasting with Multivariate Bayesian Additive Regression Trees

International Economic Review

2023/8

Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs

Journal of Econometrics

2023/1

Measuring international uncertainty using global vector autoregressions with drifting parameters

Macroeconomic Dynamics

2023

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

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

Empirical Economics

2023/5/29

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

International Economic Review

2022/11

Modeling tail risks of inflation using unobserved component quantile regressions

Journal of Economic Dynamics and Control

2022/7/11

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

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

The Scandinavian Journal of Economics

2021/12

Niko Hauzenberger
Niko Hauzenberger

H-Index: 3

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

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

Journal of Economic Behavior & Organization

2021/9/25

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

Scottish Journal of Political Economy

2021/7

Florian Huber
Florian Huber

H-Index: 11

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

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

Journal of Applied Econometrics

2021/3

Florian Huber
Florian Huber

H-Index: 11

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

Stochastic model specification in Markov switching vector error correction models

Studies in Nonlinear Dynamics & Econometrics

2021/4/1

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

Real Estate Economics

2021/12

Florian Huber
Florian Huber

H-Index: 11

Michael Pfarrhofer
Michael Pfarrhofer

H-Index: 5

See List of Professors in Michael Pfarrhofer University(Universität Salzburg)

Co-Authors

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