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  "Title": "Visualize Heterogeneity-Robust Event Studies for Non-Absorbing\nTreatments",
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  "Authors@R": "c(\nperson(given = \"Takuma\",\nfamily = \"Iwasaki\",\nrole = c(\"aut\", \"cre\"),\nemail = \"iwasakit@stanford.edu\",\ncomment = c(ORCID = \"0009-0000-8782-4851\"))\n)",
  "Description": "Runs several heterogeneity-robust\ndifference-in-differences (DID) event-study estimators for\nnon-absorbing (i.e., treatment can switch on and off) binary\ntreatments through their own packages, harmonizes their output\nonto a common time axis and tidy data structure, and overlays\nthem in a single 'ggplot2' panel for visual comparison.\nSupported estimators include those provided by\n'DIDmultiplegtDYN', 'PanelMatch', and 'fect', with an optional\nnaive two-way fixed-effects reference series via 'fixest'. The\nunderlying methods are respectively described in Clement de\nChaisemartin and Xavier D'Haultfoeuille.\n\"Difference-in-Differences Estimators of Intertemporal\nTreatment Effects.\" The Review of Economics and Statistics\n(2026) <doi:10.1162/rest_a_01414>, Kosuke Imai, In Song Kim,\nand Erik H. Wang. \"Matching methods for causal inference with\ntime‐series cross‐sectional data.\" American Journal of\nPolitical Science 67.3 (2023) <doi:10.1111/ajps.12685>, Licheng\nLiu, Ye Wang, and Yiqing Xu. \"A practical guide to\ncounterfactual estimators for causal inference with time‐series\ncross‐sectional data.\" American Journal of Political Science\n68.1 (2024) <doi:10.1111/ajps.12723>, and Laurent R. Bergé,\nKyle Butts, and Grant McDermott. \"Fast and user-friendly\neconometrics estimations: The R package 'fixest'.\" arXiv\npreprint (2026) <doi:10.48550/arXiv.2601.21749>. A single\nnabs_event_study() wrapper runs any supported estimator with a\ncommon interface; nabs_event_study_simple() provides a one-line\nfront door for quick exploratory runs; the S3 generic\nas_nabs_event_study() coerces estimator output into a tidy\nstable schema; and nabs_event_plot() overlays multiple methods\non a single 'ggplot2' panel, with optional naive two-way fixed\neffects drawn in a neutral color as a reference.",
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  "Encoding": "UTF-8",
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        "as_nabs_event_study.did_multiplegt_dyn",
        "as_nabs_event_study.fect",
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      "title": "Run an event-study estimator with a unified interface",
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