{
  "schema": "did-replication-v2",
  "config": {
    "outcomes": [
      "y"
    ],
    "treatments": [
      "d"
    ],
    "unit": "unit",
    "time": "time",
    "cluster": "cluster",
    "covariates": [],
    "baseline_by_time": [],
    "weight": null,
    "period_step": 1,
    "period_values": null,
    "display_window": [
      -10,
      10
    ],
    "seed": 20261008,
    "panelview_max_units": 100,
    "test_mode": "classical",
    "test_horizon": null,
    "post_horizon": null,
    "post_weighting": "observations",
    "sample_query": null,
    "reversal_policy": "drop_post_untreated",
    "labels": {
      "y": "Trust: local government [Table 3 original scale]",
      "d": "New Curriculum indicator (newcurr)"
    },
    "allow_repeated_cells": true,
    "time_fe": null,
    "unit_fe": null,
    "frequency_weights": false,
    "source_sd": null,
    "latest_cohort_control": true,
    "slug": "s01-p015",
    "study_id": 1,
    "study": "Curriculum and Ideology",
    "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951",
    "description": "Trust: local government [Table 3 original scale]",
    "source_specification_id": "CI-T3-A03-ORIG",
    "specification_id": "S01-P015",
    "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-A03-ORIG.csv",
    "output_dir": "analyses/full-archive/results/S01-P015"
  },
  "source": {
    "file": "CI-T3-A03-ORIG.csv",
    "bytes": 193935,
    "sha256": "6bedeb62b18de39a1b8817b4cac534b739a7b13640c89bc18248954306de311a"
  },
  "versions": {
    "pyfixest": "0.60.0",
    "polars": "2.0.0",
    "duckreg": "0.4.1",
    "numpy": "2.5.3",
    "pandas": "3.0.6"
  },
  "specifications": {
    "y__d": {
      "sample": {
        "outcome": "y",
        "treatment": "d",
        "source_rows": 1766,
        "source_sd": 0.8128859948526956,
        "rows": 1107,
        "units": 19,
        "clusters": 19,
        "treated_units": 13,
        "never_treated_units": 6,
        "treated_cohorts": 3,
        "latest_cohort_control_index": null,
        "unique_unit_period_cells": 76,
        "unsupported_prediction_rows_removed": 0,
        "initially_treated_units_removed": 10,
        "post_adoption_untreated_rows_removed": 0,
        "units_without_minus_one_removed": 0,
        "additional_rows_removed": 0
      },
      "estimates": [
        {
          "method": "Static TWFE",
          "estimate": 0.38820146125710797,
          "se": 0.12372858453606565,
          "pvalue": 0.005691906903435967,
          "lower": 0.12825735099746116,
          "upper": 0.6481455715167548
        },
        {
          "method": "Dynamic TWFE",
          "estimate": 0.3735393387717817,
          "se": 0.11628203901885763,
          "pvalue": 0.004829472900838224,
          "lower": 0.1292398401128953,
          "upper": 0.617838837430668
        },
        {
          "method": "BJS / did2s",
          "estimate": 0.33288060630824245,
          "se": 0.10362429096911133,
          "pvalue": 0.004829220320988734,
          "lower": 0.11517404950688609,
          "upper": 0.5505871631095989
        },
        {
          "method": "Sun\u2013Abraham",
          "estimate": 0.385059491047323,
          "se": 0.11641914369729853,
          "pvalue": 0.003915693665503817,
          "lower": 0.14047194614768,
          "upper": 0.629647035946966
        }
      ],
      "event_studies": {
        "Dynamic TWFE": [
          {
            "event_time": -3,
            "estimate": -0.24748748315389504,
            "se": 0.17623769612286996,
            "pvalue": 0.1772549218781977,
            "lower": -0.6177491432597351,
            "upper": 0.12277417695194501
          },
          {
            "event_time": -2,
            "estimate": -0.26606260687078753,
            "se": 0.11813195237450284,
            "pvalue": 0.03702748702909215,
            "lower": -0.5142486292710852,
            "upper": -0.01787658447048987
          },
          {
            "event_time": 0,
            "estimate": 0.3895409028131125,
            "se": 0.12177901087908367,
            "pvalue": 0.0049761184219523575,
            "lower": 0.13369269481849244,
            "upper": 0.6453891108077325
          },
          {
            "event_time": 1,
            "estimate": 0.31862050434155614,
            "se": 0.12633031614746779,
            "pvalue": 0.021304145419287577,
            "lower": 0.053210358796722756,
            "upper": 0.5840306498863895
          },
          {
            "event_time": 2,
            "estimate": 0.43872870091672356,
            "se": 0.14797175669071994,
            "pvalue": 0.008293395193011173,
            "lower": 0.12785157595200575,
            "upper": 0.7496058258814413
          }
        ],
        "BJS / did2s": [
          {
            "event_time": -3,
            "estimate": -0.04739070823184612,
            "se": 0.056998823394462085,
            "pvalue": 0.41662269319851625,
            "lower": -0.16714079256907802,
            "upper": 0.07235937610538579
          },
          {
            "event_time": -2,
            "estimate": -0.02374190331824427,
            "se": 0.035636407209755444,
            "pvalue": 0.513715515401069,
            "lower": -0.09861121666022413,
            "upper": 0.05112741002373558
          },
          {
            "event_time": -1,
            "estimate": 0.025797239873879527,
            "se": 0.020931232486331466,
            "pvalue": 0.23362767744695948,
            "lower": -0.018177647786063473,
            "upper": 0.06977212753382253
          },
          {
            "event_time": 0,
            "estimate": 0.40518353044307076,
            "se": 0.10967446716796836,
            "pvalue": 0.0016591508094861876,
            "lower": 0.17476602511819392,
            "upper": 0.6356010357679476
          },
          {
            "event_time": 1,
            "estimate": 0.27708576964012654,
            "se": 0.13005941497738388,
            "pvalue": 0.04718163177390648,
            "lower": 0.003841078173285384,
            "upper": 0.5503304611069677
          },
          {
            "event_time": 2,
            "estimate": 0.25619218453389403,
            "se": 0.14144276132264424,
            "pvalue": 0.08681905574841473,
            "lower": -0.040968030161401936,
            "upper": 0.55335239922919
          }
        ],
        "Sun\u2013Abraham": [
          {
            "event_time": -3,
            "estimate": -0.28788292235934393,
            "se": 0.2291126515839791,
            "pvalue": 0.22499298714200433,
            "lower": -0.7692307417701914,
            "upper": 0.19346489705150355
          },
          {
            "event_time": -2,
            "estimate": -0.2081919297083002,
            "se": 0.16085706300165356,
            "pvalue": 0.21193276940483663,
            "lower": -0.5461400786969155,
            "upper": 0.12975621928031505
          },
          {
            "event_time": 0,
            "estimate": 0.42021519999550483,
            "se": 0.10782418941409673,
            "pvalue": 0.0010559245966315618,
            "lower": 0.19368498398430456,
            "upper": 0.6467454160067051
          },
          {
            "event_time": 1,
            "estimate": 0.3407281554331545,
            "se": 0.13732491386532727,
            "pvalue": 0.023196857045840888,
            "lower": 0.052219217219286296,
            "upper": 0.6292370936470226
          },
          {
            "event_time": 2,
            "estimate": 0.3809719109648048,
            "se": 0.18011451368739287,
            "pvalue": 0.04862220381111695,
            "lower": 0.0025653593916649675,
            "upper": 0.7593784625379447
          }
        ]
      },
      "target": {
        "event_times": [
          0.0,
          1.0,
          2.0
        ],
        "weights": [
          0.4653284671532847,
          0.3521897810218978,
          0.18248175182481752
        ],
        "weighting": "observations"
      },
      "checks": {
        "did2s_vs_direct_imputation_max_post_difference": 0.0,
        "package_aggregate_vs_estimable_cell_weights": 0.0,
        "saturated_vs_deviations_relative_rss_difference": 1.4128164307291388e-15
      },
      "inference": {
        "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
        "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
      },
      "f_test": {
        "F": 0.5088589855562098,
        "df_num": 1,
        "df_den": 1076,
        "pvalue": 0.47578789224074497,
        "log10_pvalue": -0.32258661400101957,
        "inference": "Homoskedastic nested-model F",
        "observations": 1107,
        "design_columns": 9,
        "restricted_design_columns": 8,
        "fixed_effect_rank": 22,
        "covariance_rank": 1,
        "rss_unrestricted": 1126.5552222387498,
        "rss_restricted": 1127.087989662134,
        "test_horizon": null,
        "reference_cohort": 2,
        "pyfixest": "0.27.0",
        "formulaic": "1.0.2",
        "design_head": {
          "index": [
            0,
            1,
            2,
            3,
            4
          ],
          "columns": [
            "C(rel_time, contr.treatment(base=-1.0))[T.-3.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.-2.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.0.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.1.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.2.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.-2.0]:cohort_dummy_3"
          ],
          "data": [
            [
              -0.14522913938245502,
              -0.1647527428957428,
              -0.01897204455759855,
              -0.0971467785701073,
              -0.1510330479643491,
              -0.21602811099674252
            ],
            [
              -0.14522913938245502,
              -0.1647527428957428,
              -0.01897204455759855,
              -0.0971467785701073,
              -0.1510330479643491,
              -0.21602811099674252
            ],
            [
              -0.14522913938245502,
              -0.1647527428957428,
              -0.01897204455759855,
              -0.0971467785701073,
              -0.1510330479643491,
              -0.21602811099674252
            ],
            [
              -0.14522913938245502,
              -0.1647527428957428,
              -0.01897204455759855,
              -0.0971467785701073,
              -0.1510330479643491,
              -0.21602811099674252
            ],
            [
              -0.14522913938245502,
              -0.1647527428957428,
              -0.01897204455759855,
              -0.0971467785701073,
              -0.1510330479643491,
              -0.21602811099674252
            ]
          ]
        },
        "formula": "y~i(rel_time,ref=-1.0)+i(rel_time,cohort_dummy_3,ref=-1.0)+i(rel_time,cohort_dummy_4,ref=-1.0)|unit_fe+time_fe",
        "restriction_names": [
          "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_3"
        ],
        "deviations": [
          {
            "event_time": -2.0,
            "cohort": 3,
            "estimate": -0.212659109783813
          },
          {
            "event_time": 0.0,
            "cohort": 3,
            "estimate": 0.23895919171091384
          },
          {
            "event_time": 1.0,
            "cohort": 3,
            "estimate": 0.27428423234456734
          },
          {
            "event_time": 0.0,
            "cohort": 4,
            "estimate": -0.11805811912133432
          }
        ]
      }
    }
  },
  "code_sha256": {
    "replication_engine.py": "aa5b4502ce913299533b0c0035000b0770df1c69af7de25b04aa0c8532a3ddca",
    "reference_f_test.py": "9cf8f31eeda89784ac1750ea22c35401ae46e24e06279acf938d2d103b78cccf",
    "sparse_did2s.py": "75169d7fbba6e1bad163e564ac9b5b1262a04033eda925dc379dc3eef64c59fa",
    "frequency.py": "8f922ae4be2b63ad9b89515d8e665cda4e11a354258b54ef3b820648243642eb"
  }
}