activity
20172022
most citedMachine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence

106 citations · 219 across the 8 of their papers we have counts for

collaborators

10 papers

econ.EM2022

The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates

Hugo Bodory, Martin Huber, Michael Lechner

This paper investigates the finite sample performance of a range of parametric, semi-parametric, and non-parametric instrumental variable estimators when controlling for a fixed se…

econ.EM2022★ 3 cited

Modified Causal Forest

Michael Lechner, Jana Mareckova

Uncovering the heterogeneity of causal effects of policies and business decisions at various levels of granularity provides substantial value to decision makers. This paper develop…

econ.GN2021

Active labour market policies for the long-term unemployed: New evidence from causal machine learning

Daniel Goller, Tamara Harrer, Michael Lechner +1

Active labor market programs are important instruments used by European employment agencies to help the unemployed find work. Investigating large administrative data on German long…

econ.GN2021

The Effect of Sport in Online Dating: Evidence from Causal Machine Learning

Daniel Boller, Michael Lechner, Gabriel Okasa

Online dating emerged as a key platform for human mating. Previous research focused on socio-demographic characteristics to explain human mating in online dating environments, negl…

econ.GN2019★ 19 cited

Sorting on the Used-Car Market After the Volkswagen Emission Scandal

Anthony Strittmatter, Michael Lechner

The disclosure of the VW emission manipulation scandal caused a quasi-experimental market shock to the observable environmental quality of VW diesel vehicles. To investigate the ma…

econ.EM2019★ 25 cited

Nonparametric estimation of causal heterogeneity under high-dimensional confounding

Michael Zimmert, Michael Lechner

This paper considers the practically important case of nonparametrically estimating heterogeneous average treatment effects that vary with a limited number of discrete and continuo…