{ "_id": "6af063c694cdbf48db2b002c", "Package": "cdid", "Type": "Package", "Title": "The Chained Difference-in-Differences", "Version": "1.2.0.1", "Authors@R": "c(\nperson(\"David\", \"Benatia\", email = \"david.benatia@hec.ca\", role = c(\"cre\", \"aut\")),\nperson(\"Christophe\", \"Bellégo\", email = \"christophe.bellego@ensae.fr\", role = \"aut\"),\nperson(\"Joel\", \"Cuerrier\", email = \"cuerrier.j.clg@gmail.com\", role = c(\"aut\")),\nperson(\"Vincent\", \"Dortet-Bernadet\", email = \"vincent.dortet-bernadet@finances.gouv.fr\", role = \"aut\")\n)", "Maintainer": "David Benatia ", "Description": "Estimates group-time average treatment effects in panels\nwith missing outcomes by the chained difference-in-differences\nof Bellégo, Benatia and Dortet-Bernadet (2025)\n. It is a layer on the 'did'\npackage that keeps the att_gt() and aggte() interface and adds\nan estimation mode. Chained estimation, the default for panel\ndata, combines short within-unit comparisons by the generalized\nmethod of moments. It provides chained inverse probability\nweighting (IPW), outcome regression (OR) and doubly robust (DR)\nestimation, where OR and DR use separate or pooled regressions\nof the controls' outcome changes; custom IPW callbacks;\ncorrection for covariate-dependent missing outcomes by\nobservation weighting, change imputation or their augmented\ncombination; parallel trends from each cohort's reference\nperiod (PT-post) or from a chosen common start date (PT-all);\nand a chained conditional pretrend test through\nconditional_did_pretest(). 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