PUBLICATIONS
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign PLOS One (2023). (https://doi.org/10.1371/journal.pone.0278937 with Martin Huber).
Causal mediation analysis with double machine learning. The Econometrics Journal (2022). (https://doi.org/10.1093/ectj/utac003 with Helmut Farbmacher, Martin Huber, Lukáš Lafférs and Martin Spindler).
Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland. Swiss Journal of Economics and Statistics 156, 10 (2020). (https://doi.org/10.1186/s41937-020-00054-w with Martin Huber).
WORKING PAPERS
Detecting Grouped Local Average Treatment Effects and Selecting True Instruments (2022). (arxiv.org/abs/2207.04481 with Nicolas Apfel, Helmut Farbmacher, Rebecca Groh and Martin Huber).
The Impact of the #MeToo Movement on Language at Court - A text-based causal inference approach (2022). (http://arxiv.org/abs/2209.00409).
REFEREEING
Journal of the Royal Statistical Society, Empirical Economics
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign PLOS One (2023). (https://doi.org/10.1371/journal.pone.0278937 with Martin Huber).
Causal mediation analysis with double machine learning. The Econometrics Journal (2022). (https://doi.org/10.1093/ectj/utac003 with Helmut Farbmacher, Martin Huber, Lukáš Lafférs and Martin Spindler).
Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland. Swiss Journal of Economics and Statistics 156, 10 (2020). (https://doi.org/10.1186/s41937-020-00054-w with Martin Huber).
WORKING PAPERS
Detecting Grouped Local Average Treatment Effects and Selecting True Instruments (2022). (arxiv.org/abs/2207.04481 with Nicolas Apfel, Helmut Farbmacher, Rebecca Groh and Martin Huber).
The Impact of the #MeToo Movement on Language at Court - A text-based causal inference approach (2022). (http://arxiv.org/abs/2209.00409).
REFEREEING
Journal of the Royal Statistical Society, Empirical Economics
