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20162024
most citedAn Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls

16 citations · 37 across the 8 of their papers we have counts for

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Showing econ.EMShow all

7 papers · 1 filter

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.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★ 1 cited

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…

econ.EM2018

Decentralization Estimators for Instrumental Variable Quantile Regression Models

Hiroaki Kaido, Kaspar Wuthrich

The instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen, 2005) is a popular tool for estimating causal quantile effects with endogenous covariates. Howe…

econ.EM2017★ 16 cited

An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls

Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu

We introduce new inference procedures for counterfactual and synthetic control methods for policy evaluation. We recast the causal inference problem as a counterfactual prediction…