Replication Data for: Debiasing and T-Tests for Synthetic Control Inference on Average Causal Effects

Victor Chernozhukov; Kaspar Wuthrich; Yinchu Zhu

doi:10.7910/dvn/cvrptz

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Replication Data for: Debiasing and T-Tests for Synthetic Control Inference on Average Causal Effects

Victor Chernozhukov, Kaspar Wuthrich and Yinchu Zhu

Harvard Dataverse

2026

DOI: https://doi.org/10.7910/dvn/cvrptz

Abstract

average treatment effect

bias correction

cross-fitting

self-normalization

Social Sciences

This is the replication package for "Debiasing and T-Tests for Synthetic Control Inference on Average Causal Effects", accepted in 2026 by the Journal of Political Economy.

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Title: Replication Data for: Debiasing and T-Tests for Synthetic Control Inference on Average Causal Effects
Creators: Victor Chernozhukov - Massachusetts Institute of Technology
Kaspar Wuthrich - University of Michigan
Yinchu Zhu - Brandeis University
Publisher: Harvard Dataverse
Identifiers: 9924593897701921
Academic Unit: Brandeis International Business School; Department of Economics
Language: English
Resource Type: Dataset

Replication Data for: Debiasing and T-Tests for Synthetic Control Inference on Average Causal Effects

Abstract

Files and links (1)

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