{
  "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": "People can influence elections [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-p033",
    "study_id": 1,
    "study": "Curriculum and Ideology",
    "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951",
    "description": "People can influence elections [Table 3 original scale]",
    "source_specification_id": "CI-T3-C02-ORIG",
    "specification_id": "S01-P033",
    "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-C02-ORIG.csv",
    "output_dir": "analyses/full-archive/results/S01-P033"
  },
  "source": {
    "file": "CI-T3-C02-ORIG.csv",
    "bytes": 192518,
    "sha256": "ef377238ec3526c2a2864632d5c8d2bdfcc1e7fb64f27c3d1a279245aa4a3fc3"
  },
  "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": 1753,
        "source_sd": 0.9724100068868827,
        "rows": 1100,
        "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": 0.11777012359857324,
          "se": 0.09034156779109655,
          "pvalue": 0.20879425474982888,
          "lower": -0.0720304673236714,
          "upper": 0.30757071452081786
        },
        {
          "method": "Dynamic TWFE",
          "estimate": 0.03610469807654346,
          "se": 0.14508896150316652,
          "pvalue": 0.8062976889947879,
          "lower": -0.26871589894114256,
          "upper": 0.34092529509422953
        },
        {
          "method": "BJS / did2s",
          "estimate": 0.047401197777398346,
          "se": 0.11658367762303824,
          "pvalue": 0.6891061960548203,
          "lower": -0.19753202007319864,
          "upper": 0.29233441562799534
        },
        {
          "method": "Sun\u2013Abraham",
          "estimate": 0.04003771997148135,
          "se": 0.15165050618757056,
          "pvalue": 0.7947688158846853,
          "lower": -0.27856817089169555,
          "upper": 0.3586436108346583
        }
      ],
      "event_studies": {
        "Dynamic TWFE": [
          {
            "event_time": -3,
            "estimate": 0.0416337559082579,
            "se": 0.24536933711396586,
            "pvalue": 0.8671558661661922,
            "lower": -0.47386809243380634,
            "upper": 0.5571356042503222
          },
          {
            "event_time": -2,
            "estimate": -0.1379806242884498,
            "se": 0.18534132957999885,
            "pvalue": 0.46620265202649175,
            "lower": -0.5273683085706476,
            "upper": 0.2514070599937481
          },
          {
            "event_time": 0,
            "estimate": 0.059770124930735274,
            "se": 0.09837403496127045,
            "pvalue": 0.5510549069977042,
            "lower": -0.14690605330684026,
            "upper": 0.2664463031683108
          },
          {
            "event_time": 1,
            "estimate": 0.07943478246047418,
            "se": 0.17944214602221092,
            "pvalue": 0.6632736010918237,
            "lower": -0.2975591770657395,
            "upper": 0.45642874198668787
          },
          {
            "event_time": 2,
            "estimate": -0.10753236280282392,
            "se": 0.25505908367577357,
            "pvalue": 0.6783105601298925,
            "lower": -0.6433916132609399,
            "upper": 0.428326887655292
          }
        ],
        "BJS / did2s": [
          {
            "event_time": -3,
            "estimate": 0.08489299711524888,
            "se": 0.08624129661587018,
            "pvalue": 0.33798307716190873,
            "lower": -0.09629324372399765,
            "upper": 0.2660792379544954
          },
          {
            "event_time": -2,
            "estimate": -0.08589274239232754,
            "se": 0.06494763394383221,
            "pvalue": 0.20256268893233323,
            "lower": -0.2223426580064316,
            "upper": 0.05055717322177654
          },
          {
            "event_time": -1,
            "estimate": 0.029911349356091344,
            "se": 0.029381613633019037,
            "pvalue": 0.3221530256322422,
            "lower": -0.031817130303364916,
            "upper": 0.0916398290155476
          },
          {
            "event_time": 0,
            "estimate": 0.08896017882866433,
            "se": 0.09850011858101236,
            "pvalue": 0.37837549151647915,
            "lower": -0.11798089126454037,
            "upper": 0.29590124892186903
          },
          {
            "event_time": 1,
            "estimate": 0.060845210651878055,
            "se": 0.14315520545817323,
            "pvalue": 0.67585265328344,
            "lower": -0.23991271567043224,
            "upper": 0.36160313697418833
          },
          {
            "event_time": 2,
            "estimate": -0.08460672800160611,
            "se": 0.19506629734637218,
            "pvalue": 0.6696359432058804,
            "lower": -0.4944258114048114,
            "upper": 0.32521235540159915
          }
        ],
        "Sun\u2013Abraham": [
          {
            "event_time": -3,
            "estimate": 0.02318205668158626,
            "se": 0.2873633670348931,
            "pvalue": 0.9365933368261717,
            "lower": -0.5805459746798958,
            "upper": 0.6269100880430682
          },
          {
            "event_time": -2,
            "estimate": -0.16911299769839105,
            "se": 0.20467432407016994,
            "pvalue": 0.4194778125905627,
            "lower": -0.5991177962088479,
            "upper": 0.2608918008120658
          },
          {
            "event_time": 0,
            "estimate": 0.054762407325343786,
            "se": 0.09659978881444474,
            "pvalue": 0.5777838655247347,
            "lower": -0.14818621807755286,
            "upper": 0.2577110327282404
          },
          {
            "event_time": 1,
            "estimate": 0.06926930263731372,
            "se": 0.20407865919307389,
            "pvalue": 0.738218067728585,
            "lower": -0.3594840504042546,
            "upper": 0.49802265567888204
          },
          {
            "event_time": 2,
            "estimate": -0.05369305383695649,
            "se": 0.24308374077567274,
            "pvalue": 0.827669727270216,
            "lower": -0.5643930424568064,
            "upper": 0.4570069347828935
          }
        ]
      },
      "target": {
        "event_times": [
          0.0,
          1.0,
          2.0
        ],
        "weights": [
          0.466789667896679,
          0.3505535055350554,
          0.18265682656826568
        ],
        "weighting": "observations"
      },
      "checks": {
        "did2s_vs_direct_imputation_max_post_difference": 4.163336342344337e-17,
        "package_aggregate_vs_estimable_cell_weights": 6.938893903907228e-18,
        "saturated_vs_deviations_relative_rss_difference": 4.340125156646512e-16
      },
      "inference": {
        "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
        "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
      },
      "f_test": {
        "F": 0.020829483257573812,
        "df_num": 1,
        "df_den": 1069,
        "pvalue": 0.8852716493371069,
        "log10_pvalue": -0.05292344375914691,
        "inference": "Homoskedastic nested-model F",
        "observations": 1100,
        "design_columns": 9,
        "restricted_design_columns": 8,
        "fixed_effect_rank": 22,
        "covariance_rank": 1,
        "rss_unrestricted": 1047.7747402976597,
        "rss_restricted": 1047.7951562063695,
        "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": [
            [
              -0.14515251907947718,
              -0.16432354894181211,
              -0.021091834608581193,
              -0.0946672861240358,
              -0.151375494876839,
              -0.21595990830817272
            ],
            [
              -0.14515251907947718,
              -0.16432354894181211,
              -0.021091834608581193,
              -0.0946672861240358,
              -0.151375494876839,
              -0.21595990830817272
            ],
            [
              -0.14515251907947718,
              -0.16432354894181211,
              -0.021091834608581193,
              -0.0946672861240358,
              -0.151375494876839,
              -0.21595990830817272
            ],
            [
              -0.14515251907947718,
              -0.16432354894181211,
              -0.021091834608581193,
              -0.0946672861240358,
              -0.151375494876839,
              -0.21595990830817272
            ],
            [
              -0.14515251907947718,
              -0.16432354894181211,
              -0.021091834608581193,
              -0.0946672861240358,
              -0.151375494876839,
              -0.21595990830817272
            ]
          ]
        },
        "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": 0.054735329384667186
          },
          {
            "event_time": 0.0,
            "cohort": 3,
            "estimate": -0.23386418457686795
          },
          {
            "event_time": 1.0,
            "cohort": 3,
            "estimate": -0.053775243472191606
          },
          {
            "event_time": 0.0,
            "cohort": 4,
            "estimate": -0.08909233147945024
          }
        ]
      }
    }
  },
  "code_sha256": {
    "replication_engine.py": "aa5b4502ce913299533b0c0035000b0770df1c69af7de25b04aa0c8532a3ddca",
    "reference_f_test.py": "9cf8f31eeda89784ac1750ea22c35401ae46e24e06279acf938d2d103b78cccf",
    "sparse_did2s.py": "75169d7fbba6e1bad163e564ac9b5b1262a04033eda925dc379dc3eef64c59fa",
    "frequency.py": "8f922ae4be2b63ad9b89515d8e665cda4e11a354258b54ef3b820648243642eb"
  }
}