{
  "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": "Skeptical of markets [humanities-track students only]",
      "d": "New Curriculum indicator (newcurr)"
    },
    "allow_repeated_cells": true,
    "time_fe": null,
    "latest_cohort_control": true,
    "slug": "s01-p091",
    "study_id": 1,
    "study": "Curriculum and Ideology",
    "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951",
    "description": "Skeptical of markets [humanities-track students only]",
    "source_specification_id": "CI-T5-D-C06",
    "specification_id": "S01-P091",
    "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T5-D-C06.csv",
    "output_dir": "analyses/full-archive/results/S01-P091"
  },
  "source": {
    "file": "CI-T5-D-C06.csv",
    "bytes": 47791,
    "sha256": "1f6185dd214feaaeb371916e23bf2d60ab4e9eca7ccba0c457ddd775f621d846"
  },
  "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": 433,
        "source_sd": 0.4813029744828996,
        "rows": 246,
        "units": 17,
        "clusters": 17,
        "treated_units": 10,
        "never_treated_units": 7,
        "treated_cohorts": 3,
        "latest_cohort_control_index": null,
        "unique_unit_period_cells": 65,
        "unsupported_prediction_rows_removed": 0,
        "initially_treated_units_removed": 10,
        "post_adoption_untreated_rows_removed": 0,
        "units_without_minus_one_removed": 2,
        "additional_rows_removed": 20
      },
      "estimates": [
        {
          "method": "Static TWFE",
          "estimate": 0.5533939995776936,
          "se": 0.11947743667565217,
          "pvalue": 0.00027704219838613897,
          "lower": 0.30011314843160675,
          "upper": 0.8066748507237805
        },
        {
          "method": "Dynamic TWFE",
          "estimate": 0.5103953462782918,
          "se": 0.15740038264335876,
          "pvalue": 0.0050991977930115555,
          "lower": 0.17672144101318232,
          "upper": 0.8440692515434012
        },
        {
          "method": "BJS / did2s",
          "estimate": 0.4840466555497226,
          "se": 0.1624077414719258,
          "pvalue": 0.008832461243370162,
          "lower": 0.13975762376883155,
          "upper": 0.8283356873306136
        },
        {
          "method": "Sun\u2013Abraham",
          "estimate": 0.44743787084264147,
          "se": 0.1962808074989323,
          "pvalue": 0.03668725537071517,
          "lower": 0.03134114689022788,
          "upper": 0.863534594795055
        }
      ],
      "event_studies": {
        "Dynamic TWFE": [
          {
            "event_time": -3,
            "estimate": 0.019432747345679305,
            "se": 0.32698262707004777,
            "pvalue": 0.9533451726155872,
            "lower": -0.6737394565334022,
            "upper": 0.7126049512247609
          },
          {
            "event_time": -2,
            "estimate": -0.27301881718839605,
            "se": 0.2631793890378228,
            "pvalue": 0.3149802891085521,
            "lower": -0.8309341986554887,
            "upper": 0.2848965642786966
          },
          {
            "event_time": 0,
            "estimate": 0.4488532683524642,
            "se": 0.13474861072507835,
            "pvalue": 0.004233142318047092,
            "lower": 0.1631989744136686,
            "upper": 0.7345075622912598
          },
          {
            "event_time": 1,
            "estimate": 0.7040957480428138,
            "se": 0.19552016494442565,
            "pvalue": 0.002393434979391873,
            "lower": 0.28961151427251214,
            "upper": 1.1185799818131155
          },
          {
            "event_time": 2,
            "estimate": 0.33496599375661124,
            "se": 0.22978111417217298,
            "pvalue": 0.164254789129508,
            "lower": -0.15214820783794236,
            "upper": 0.8220801953511648
          }
        ],
        "BJS / did2s": [
          {
            "event_time": -3,
            "estimate": 0.14098430711470644,
            "se": 0.23527713261753155,
            "pvalue": 0.5574121887348654,
            "lower": -0.3577809331067806,
            "upper": 0.6397495473361935
          },
          {
            "event_time": -2,
            "estimate": -0.057347817893596234,
            "se": 0.11123330880316809,
            "pvalue": 0.6132096049525356,
            "lower": -0.2931518986753465,
            "upper": 0.17845626288815403
          },
          {
            "event_time": -1,
            "estimate": 0.009615418542176667,
            "se": 0.05045748503029806,
            "pvalue": 0.8512635490914171,
            "lower": -0.09734967135892932,
            "upper": 0.11658050844328265
          },
          {
            "event_time": 0,
            "estimate": 0.4710549797577735,
            "se": 0.16037889491447713,
            "pvalue": 0.009665710101058551,
            "lower": 0.1310669105453247,
            "upper": 0.8110430489702223
          },
          {
            "event_time": 1,
            "estimate": 0.6657017482186243,
            "se": 0.20712709971803123,
            "pvalue": 0.005416224766158388,
            "lower": 0.22661191191404062,
            "upper": 1.104791584523208
          },
          {
            "event_time": 2,
            "estimate": 0.18771010823064851,
            "se": 0.20815961436352223,
            "pvalue": 0.3805586461642752,
            "lower": -0.253568561342435,
            "upper": 0.6289887778037321
          }
        ],
        "Sun\u2013Abraham": [
          {
            "event_time": -3,
            "estimate": 0.19294059136596076,
            "se": 0.368937132397326,
            "pvalue": 0.6081665146091135,
            "lower": -0.5891711906826242,
            "upper": 0.9750523734145458
          },
          {
            "event_time": -2,
            "estimate": 0.09086550143701623,
            "se": 0.31857668478426565,
            "pvalue": 0.7791321742929089,
            "lower": -0.5844869008454877,
            "upper": 0.7662179037195201
          },
          {
            "event_time": 0,
            "estimate": 0.3797739826366883,
            "se": 0.1482313129647454,
            "pvalue": 0.020888412311312134,
            "lower": 0.06553763677220031,
            "upper": 0.6940103285011763
          },
          {
            "event_time": 1,
            "estimate": 0.7080895566875172,
            "se": 0.29039948072320515,
            "pvalue": 0.026790865350775597,
            "lower": 0.09247015861129404,
            "upper": 1.3237089547637404
          },
          {
            "event_time": 2,
            "estimate": 0.16672043584067997,
            "se": 0.2726345215653507,
            "pvalue": 0.5494487900054338,
            "lower": -0.41123893117635835,
            "upper": 0.7446798028577183
          }
        ]
      },
      "target": {
        "event_times": [
          0.0,
          1.0,
          2.0
        ],
        "weights": [
          0.509090909090909,
          0.3181818181818182,
          0.17272727272727273
        ],
        "weighting": "observations"
      },
      "checks": {
        "did2s_vs_direct_imputation_max_post_difference": 2.7755575615628914e-17,
        "package_aggregate_vs_estimable_cell_weights": 5.551115123125783e-17,
        "saturated_vs_deviations_relative_rss_difference": 1.786242403281131e-15
      },
      "inference": {
        "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
        "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
      },
      "f_test": {
        "F": 0.8706477841547869,
        "df_num": 1,
        "df_den": 217,
        "pvalue": 0.3518130830232728,
        "log10_pvalue": -0.45368801428399996,
        "inference": "Homoskedastic nested-model F",
        "observations": 246,
        "design_columns": 9,
        "restricted_design_columns": 8,
        "fixed_effect_rank": 20,
        "covariance_rank": 1,
        "rss_unrestricted": 206.84886996107204,
        "rss_restricted": 207.6787893633141,
        "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": [
            [
              -0.11985075024965858,
              -0.27278598098477325,
              -0.02388868993620471,
              -0.10043334905805557,
              -0.2007950909838886,
              -0.2930565626680157
            ],
            [
              -0.11985075024965858,
              -0.27278598098477325,
              -0.02388868993620471,
              -0.10043334905805557,
              -0.2007950909838886,
              -0.2930565626680157
            ],
            [
              -0.11985075024965858,
              -0.27278598098477325,
              -0.02388868993620471,
              -0.10043334905805557,
              -0.2007950909838886,
              -0.2930565626680157
            ],
            [
              -0.11985075024965858,
              -0.27278598098477325,
              -0.02388868993620471,
              -0.10043334905805557,
              -0.2007950909838886,
              -0.2930565626680157
            ],
            [
              -0.11985075024965858,
              -0.27278598098477325,
              -0.02388868993620471,
              -0.10043334905805557,
              -0.2007950909838886,
              -0.2930565626680157
            ]
          ]
        },
        "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+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": 0.907382771715755
          },
          {
            "event_time": 0.0,
            "cohort": 3,
            "estimate": 0.8066527931231828
          },
          {
            "event_time": 1.0,
            "cohort": 3,
            "estimate": 0.6858655627353044
          },
          {
            "event_time": 0.0,
            "cohort": 4,
            "estimate": 0.6245914072638632
          }
        ]
      }
    }
  },
  "code_sha256": {
    "replication_engine.py": "a84197989fc6e453d28f8a12b14fdabaee204780a523db7d585b9004c6231de4",
    "reference_f_test.py": "26f3d65e1ff59d46f05bb28011b2ed34b9ee150f04c47c144dd6836a4d75d6f0",
    "sparse_did2s.py": "a348042269b0077dd2916898779f992f0b5fc2971edfee8b0118d3af715eaafb"
  }
}
