7 citations · 8 across the 4 of their papers we have counts for
5 papers
The Impact of the #MeToo Movement on Language at Court -- A text-based causal inference approach
Henrika Langen
This study assesses the effect of the #MeToo movement on the language used in judicial opinions on sexual violence related cases from 51 U.S. state and federal appellate courts. Th…
Detecting Grouped Local Average Treatment Effects and Selecting True Instruments
Nicolas Apfel, Helmut Farbmacher, Rebecca Groh +2
Under an endogenous binary treatment with heterogeneous effects and multiple instruments, we propose a two-step procedure for identifying complier groups with identical local avera…
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign
Henrika Langen, Martin Huber
We apply causal machine learning algorithms to assess the causal effect of a marketing intervention, namely a coupon campaign, on the sales of a retailer. Besides assessing the ave…
The Impact of Response Measures on COVID-19-Related Hospitalization and Death Rates in Germany and Switzerland
Martin Huber, Henrika Langen
We assess the impact of COVID-19 response measures implemented in Germany and Switzerland on cumulative COVID-19-related hospitalization and death rates. Our analysis exploits the…
Causal mediation analysis with double machine learning
Helmut Farbmacher, Martin Huber, Lukáš Lafférs +2
This paper combines causal mediation analysis with double machine learning to control for observed confounders in a data-driven way under a selection-on-observables assumption in a…