| dc.contributor.author | Chernozhukov, Victor | |
| dc.contributor.author | Wüthrich, Kaspar | |
| dc.contributor.author | Zhu, Yinchu | |
| dc.date.accessioned | 2022-08-26T14:38:03Z | |
| dc.date.available | 2022-08-26T14:38:03Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/144458 | |
| dc.language.iso | en | |
| dc.publisher | Informa UK Limited | en_US |
| dc.relation.isversionof | 10.1080/01621459.2021.1920957 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | arXiv | en_US |
| dc.title | An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Chernozhukov, Victor, Wüthrich, Kaspar and Zhu, Yinchu. 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls." Journal of the American Statistical Association, 116 (536). | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Economics | |
| dc.contributor.department | Statistics and Data Science Center (Massachusetts Institute of Technology) | |
| dc.relation.journal | Journal of the American Statistical Association | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2022-08-26T14:33:55Z | |
| dspace.orderedauthors | Chernozhukov, V; Wüthrich, K; Zhu, Y | en_US |
| dspace.date.submission | 2022-08-26T14:33:56Z | |
| mit.journal.volume | 116 | en_US |
| mit.journal.issue | 536 | en_US |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
