106 citations · 234 across the 13 of their papers we have counts for
14 papers
A Machine-Learning-Compatible Omnibus Test for Treatment Effect Heterogeneity
Elia Lapenta, Anthony Strittmatter, Pedro Vergara Merino
This study proposes a formal, computationally efficient nonparametric omnibus test for treatment-effect heterogeneity that is compatible with a broad class of estimators, including…
Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence
Uwe Sunde, Dainis Zegners, Anthony Strittmatter
This paper presents an empirical investigation of the relation between decision speed and decision quality for a real-world setting of cognitively-demanding decisions in which the…
Optimal Targeting in Fundraising: A Causal Machine-Learning Approach
Tobias Cagala, Ulrich Glogowsky, Johannes Rincke +1
Ineffective fundraising lowers the resources charities can use to provide goods. We combine a field experiment and a causal machine-learning approach to increase a charity's fundra…
The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?
Anthony Strittmatter, Conny Wunsch
The vast majority of existing studies that estimate the average unexplained gender pay gap use unnecessarily restrictive linear versions of the Blinder-Oaxaca decomposition. Using…
Identifying causal channels of policy reforms with multiple treatments and different types of selection
Annabelle Doerr, Anthony Strittmatter
We study the identification of channels of policy reforms with multiple treatments and different types of selection for each treatment. We disentangle reform effects into policy ef…
Decisions and Performance Under Bounded Rationality: A Computational Benchmarking Approach
Dainis Zegners, Uwe Sunde, Anthony Strittmatter
This paper presents a novel approach to analyze human decision-making that involves comparing the behavior of professional chess players relative to a computational benchmark of co…