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  "Description": "The standard Difference-in-Differences (DID) setup\ninvolves two periods and two groups -- a treated group and\nuntreated group.  Many applications of DID methods involve more\nthan two periods and have individuals that are treated at\ndifferent points in time.  This package contains tools for\ncomputing average treatment effect parameters in Difference in\nDifferences setups with more than two periods and with\nvariation in treatment timing using the methods developed in\nCallaway and Sant'Anna (2021)\n<doi:10.1016/j.jeconom.2020.12.001>.  The main parameters are\ngroup-time average treatment effects which are the average\ntreatment effect for a particular group at a particular time.\nThese can be aggregated into a fewer number of treatment effect\nparameters, and the package deals with the cases where there is\nselective treatment timing, dynamic treatment effects, calendar\ntime effects, or combinations of these.  There are also\nfunctions for testing the Difference in Differences assumption,\nand plotting group-time average treatment effects.",
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        "Estimating dynamic treatment effects via TWFE event-study regressions",
        "Using the Callaway and Sant'Anna (2021) framework",
        "Setup with a group that remains untreated at the end of the sample",
        "DGP with a \"never-treated\" group and homogeneous treatment effect dynamics",
        "Setup with Heterogeneous Treatment Effects",
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      "author": "Brantly Callaway and Pedro H.C. Sant'Anna",
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      "headings": [
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        "DiD with Anticipation",
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