activity
20162024
most citedA model of multiple hypothesis testing

11 citations · 14 across the 3 of their papers we have counts for

collaborators

10 papers

econ.EM2024★ 2 cited

Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments

Victor Chernozhukov, Iván Fernández-Val, Sukjin Han +1

We propose an instrumental variable framework for identifying and estimating causal effects of discrete and continuous treatments with binary instruments. The basis of our approach…

econ.EM2022

Pairwise Valid Instruments

Zhenting Sun, Kaspar Wüthrich

Finding valid instruments is difficult. We propose Validity Set Instrumental Variable (VSIV) estimation, a method for estimating local average treatment effects (LATEs) in heteroge…

econ.GN2021★ 11 cited

A model of multiple hypothesis testing

Davide Viviano, Kaspar Wuthrich, Paul Niehaus

Multiple hypothesis testing practices vary widely, without consensus on which are appropriate when. This paper provides an economic foundation for these practices designed to captu…

econ.EM2020★ 1 cited

Bias correction for quantile regression estimators

Grigory Franguridi, Bulat Gafarov, Kaspar Wuthrich

We study the bias of classical quantile regression and instrumental variable quantile regression estimators. While being asymptotically first-order unbiased, these estimators can h…

econ.EM2019

Distributional conformal prediction

Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu

We propose a robust method for constructing conditionally valid prediction intervals based on models for conditional distributions such as quantile and distribution regression. Our…

econ.EM2019

Detecting p-hacking

Graham Elliott, Nikolay Kudrin, Kaspar Wuthrich

We theoretically analyze the problem of testing for -hacking based on distributions of -values across multiple studies. We provide general results for when such distributions…