Peer-reviewedLicence not statedJournal of Political Economy
Debiasing and t -Tests for Synthetic Control Inference on Average Causal Effects
- 1Massachusetts Institute of Technology and University College London
- 2University of Michigan
- 3Brandeis University
Related
- A Unified Three-Stage Weighting Framework for Causal Inference and Mediation Analysis under Case-Control Sampling
- Causal Inference Without Control Groups: Six Field Procedures of the Kuriyama Protocol
- Informative inference on the average treatment effect with instrumental variables
- Heterogeneous survivor average causal effects beyond monotonicity: Applications to a clinical trial evaluating mechanical ventilation strategies
- Parametric inference for the average hazard approach in time-to-event analysis with sparse risk sets
BibTeX
@article{chernozhukov2026debiasing,
title = {{Debiasing and t -Tests for Synthetic Control Inference on Average Causal Effects}},
author = {Victor Chernozhukov and Kaspar Wüthrich and Yinchu Zhu},
journal = {Journal of Political Economy},
year = {2026},
month = jun,
doi = {10.1086/742424},
url = {http://arxiv.org/abs/1812.10820},
}
RIS
TY - JOUR
TI - Debiasing and t -Tests for Synthetic Control Inference on Average Causal Effects
AU - Victor Chernozhukov
AU - Kaspar Wüthrich
AU - Yinchu Zhu
PY - 2026
DA - 2026/06/02
JO - Journal of Political Economy
DO - 10.1086/742424
UR - http://arxiv.org/abs/1812.10820
SN - 0022-3808
SN - 1537-534X
ER -