{ "_id": "6ac38d92285e8e46a084401e", "Package": "fect", "Type": "Package", "Title": "Fixed Effects Counterfactual Estimators", "Version": "2.4.5", "Date": "2026-05-29", "Authors@R": "c(person(\"Yiqing\", \"Xu\", , \"yiqingxu@stanford.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Licheng\", \"Liu\", , \"lichengl@stanford.edu\", role = c(\"aut\")),\nperson(\"Ziyi\", \"Liu\", , \"zyliu2023@berkeley.edu\", role = c(\"aut\")),\nperson(\"Ye\", \"Wang\", , \"yezhehuzhi@gmail.com\", role = c(\"aut\")),\nperson(\"Tianzhu\", \"Qin\", , \"tianzhu@stanford.edu\", role = c(\"aut\")),\nperson(\"Shiyun\", \"Hu\", , \"hushiyun@pku.edu.cn\", role = c(\"aut\")),\nperson(\"Rivka\", \"Lipkovitz\", , \"rivkal@mit.edu\", role = c(\"aut\")))", "Author": "Yiqing Xu [aut, cre], Licheng Liu [aut], Ziyi Liu [aut], Ye\nWang [aut], Tianzhu Qin [aut], Shiyun Hu [aut], Rivka Lipkovitz\n[aut]", "Maintainer": "Yiqing Xu ", "Description": "Provides tools for estimating causal effects in panel data\nusing counterfactual methods, as well as other modern DID\nestimators. It is designed for causal panel analysis with\nbinary treatments under the parallel trends assumption. The\npackage supports scenarios where treatments can switch on and\noff and allows for limited carryover effects. It includes\nseveral imputation estimators, such as Gsynth (Xu 2017), linear\nfactor models, and the matrix completion method. Detailed\nmethodology is described in Liu, Wang, and Xu (2024)\n and Chiu et al. (2025)\n. 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