14 citations · 16 across the 6 of their papers we have counts for
6 papers
IV regression with distribution-valued outcomes
David Van Dijcke, Kaspar Wüthrich
We develop IV Fréchet regression (IVFR), an instrumental-variable (IV) method for settings where the outcome is an entire distribution. Framing the problem as an IV regression in 2…
Inference with few treated units
Luis Alvarez, Bruno Ferman, Kaspar Wüthrich
In many causal inference applications, only one or a few units (or clusters of units) are treated. An important challenge in such settings is that standard inference methods relyin…
The Power of Tests for Detecting -Hacking
Graham Elliott, Nikolay Kudrin, Kaspar Wüthrich
A flourishing empirical literature investigates the prevalence of -hacking based on the distribution of -values across studies. Interpreting results in this literature requir…
Green governments
Niklas Potrafke, Kaspar Wuthrich
We examine how Green governments influence environmental, macroeconomic, and education outcomes. We exploit that the Fukushima nuclear disaster in Japan gave rise to an unanticipat…
Protectionism and economic growth: Causal evidence from the first era of globalization
Niklas Potrafke, Fabian Ruthardt, Kaspar Wüthrich
We investigate how protectionist policies influence economic growth. Our empirical strategy exploits an extraordinary tax scandal that gave rise to an unexpected change of governme…
Debiasing and -tests for synthetic control inference on average causal effects
Victor Chernozhukov, Kaspar Wuthrich, Yinchu Zhu
We propose a practical and robust method for making inferences on average treatment effects estimated by synthetic controls. We develop a -fold cross-fitting procedure for bias…