activity
20182026
most citedScenario Analysis with Multivariate Bayesian Machine Learning Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators

8 papers

econ.EM2026

Are there asymmetries in euro area monetary policy transmission?

Michael Pfarrhofer, Anna Stelzer

We answer the question posed in the title with a nonlinear mixed-frequency vector autoregression, estimated with Bayesian additive regression trees. The model combines monthly macr…

econ.EM2025★ 1 cited

Scenario Analysis with Multivariate Bayesian Machine Learning Models

Michael Pfarrhofer, Anna Stelzer

We present an econometric framework that adapts tools for scenario analysis, such as variants of conditional forecasts and generalized impulse responses, for use with dynamic nonpa…

econ.EM2024

Nowcasting with Mixed Frequency Data Using Gaussian Processes

Niko Hauzenberger, Massimiliano Marcellino, Michael Pfarrhofer +1

We develop Bayesian machine learning methods for mixed data sampling (MIDAS) regressions. This involves handling frequency mismatches and specifying functional relationships betwee…

econ.GN2023

Monetary policy and the joint distribution of income and wealth: The heterogeneous case of the euro area

Anna Stelzer

This papers aims to establish the empirical relationship between income, net wealth and their joint distribution in a selected group of euro area countries. I estimate measures of…

econ.GN2020

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

Niko Hauzenberger, Michael Pfarrhofer, Anna Stelzer

In this paper, we investigate the effectiveness of conventional and unconventional monetary policy measures by the European Central Bank (ECB) conditional on the prevailing level o…

econ.EM2019

High-frequency and heteroskedasticity identification in multicountry models: Revisiting spillovers of monetary shocks

Michael Pfarrhofer, Anna Stelzer

We explore the international transmission of monetary policy and central bank information shocks originating from the United States and the euro area. Employing a panel vector auto…

econ.EM2019

Predicting credit default probabilities using machine learning techniques in the face of unequal class distributions

Anna Stelzer

This study conducts a benchmarking study, comparing 23 different statistical and machine learning methods in a credit scoring application. In order to do so, the models' performanc…

econ.EM2018

Implications of macroeconomic volatility in the Euro area

Niko Hauzenberger, Maximilian Böck, Michael Pfarrhofer +2

In this paper we estimate a Bayesian vector autoregressive model with factor stochastic volatility in the error term to assess the effects of an uncertainty shock in the Euro area.…