{
  "study_id": 1,
  "specification_id": "S01-P036",
  "source_specification_id": "CI-T3-D02-ORIG",
  "role": "active_comparison",
  "published_source_location": "Table 3, panel D, row 2 (\"People should not influence elections\"), accepted-manuscript p. 46",
  "outcome_label": "People should not influence elections [Table 3 original scale]",
  "outcome_variable": "",
  "treatment_label": "New Curriculum indicator (newcurr)",
  "unit_fixed_effects": "Province",
  "time_fixed_effects": "High-school entry cohort",
  "allowed_adjustments": "",
  "published_weights": "",
  "published_clustering": "Province x high-school-entry cohort (proXcoh)",
  "panel_structure": "Student repeated cross-section; treatment assigned at province x high-school-entry-cohort",
  "design": "repeated_cross_section",
  "descriptive_metadata_status": "recorded_source_fields",
  "title": "Curriculum and Ideology",
  "status": "ready",
  "reason": "",
  "config": "analyses/full-archive/configs/S01-P036.json",
  "input_bytes": 192606,
  "specification_type": "twfe_scalar",
  "run_status": "completed",
  "expanded_status": "processed",
  "expanded_reason": null,
  "regression_result": {
    "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 should not 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-p036",
      "study_id": 1,
      "study": "Curriculum and Ideology",
      "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951",
      "description": "People should not influence elections [Table 3 original scale]",
      "source_specification_id": "CI-T3-D02-ORIG",
      "specification_id": "S01-P036",
      "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-D02-ORIG.csv",
      "output_dir": "analyses/full-archive/results/S01-P036"
    },
    "source": {
      "file": "CI-T3-D02-ORIG.csv",
      "bytes": 192606,
      "sha256": "646b6d750c743f14850ecc04a5019af525dacc97fe9da5f131dcfb5b520e7bf2"
    },
    "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": 1754,
          "source_sd": 0.7102989355456222,
          "rows": 1102,
          "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": 0.04061398910953183,
            "se": 0.10498415519322277,
            "pvalue": 0.7033966610568598,
            "lower": -0.17994953641199551,
            "upper": 0.2611775146310592
          },
          {
            "method": "Dynamic TWFE",
            "estimate": -0.1279368440483663,
            "se": 0.11242939518936433,
            "pvalue": 0.2700699382430543,
            "lower": -0.36414223837267157,
            "upper": 0.10826855027593899
          },
          {
            "method": "BJS / did2s",
            "estimate": 0.0276364747511732,
            "se": 0.11679476630277469,
            "pvalue": 0.8156201774264826,
            "lower": -0.21774022395912745,
            "upper": 0.27301317346147386
          },
          {
            "method": "Sun\u2013Abraham",
            "estimate": -0.1065328086513135,
            "se": 0.11122451357307145,
            "pvalue": 0.3508439143797461,
            "lower": -0.3402068406320678,
            "upper": 0.12714122332944083
          }
        ],
        "event_studies": {
          "Dynamic TWFE": [
            {
              "event_time": -3,
              "estimate": 0.6472223395884708,
              "se": 0.15399794124453517,
              "pvalue": 0.0005348830082019471,
              "lower": 0.3236846706760824,
              "upper": 0.9707600085008591
            },
            {
              "event_time": -2,
              "estimate": 0.2364974240992186,
              "se": 0.14678652833043682,
              "pvalue": 0.12453952350304494,
              "lower": -0.07188962848066166,
              "upper": 0.5448844766790988
            },
            {
              "event_time": 0,
              "estimate": 0.010952063763280557,
              "se": 0.10605292874345833,
              "pvalue": 0.9188907249377086,
              "lower": -0.21185687166596334,
              "upper": 0.23376099919252447
            },
            {
              "event_time": 1,
              "estimate": -0.2651692653177105,
              "se": 0.11429849640224315,
              "pvalue": 0.03229407671394012,
              "lower": -0.5053014955755941,
              "upper": -0.02503703505982685
            },
            {
              "event_time": 2,
              "estimate": -0.21672743791334173,
              "se": 0.21142600452322158,
              "pvalue": 0.31890752620303375,
              "lower": -0.6609169906962794,
              "upper": 0.22746211486959592
            }
          ],
          "BJS / did2s": [
            {
              "event_time": -3,
              "estimate": 0.13568065665325377,
              "se": 0.07605283000030102,
              "pvalue": 0.09128597883954885,
              "lower": -0.0241004101170835,
              "upper": 0.295461723423591
            },
            {
              "event_time": -2,
              "estimate": -0.014079979189358627,
              "se": 0.07349712359360343,
              "pvalue": 0.850222046585081,
              "lower": -0.1684917060414797,
              "upper": 0.14033174766276243
            },
            {
              "event_time": -1,
              "estimate": -0.025223976039556846,
              "se": 0.029417530851667956,
              "pvalue": 0.40247047150980064,
              "lower": -0.08702791497529677,
              "upper": 0.03657996289618308
            },
            {
              "event_time": 0,
              "estimate": 0.08958297658013759,
              "se": 0.1261104159343214,
              "pvalue": 0.4865873354288536,
              "lower": -0.17536517576024285,
              "upper": 0.354531128920518
            },
            {
              "event_time": 1,
              "estimate": -0.02717438943997692,
              "se": 0.1291542068625835,
              "pvalue": 0.8357167900600544,
              "lower": -0.2985173092274289,
              "upper": 0.2441685303474751
            },
            {
              "event_time": 2,
              "estimate": -0.024371394319808278,
              "se": 0.22462646237801445,
              "pvalue": 0.9148014380597409,
              "lower": -0.4962940799511532,
              "upper": 0.44755129131153665
            }
          ],
          "Sun\u2013Abraham": [
            {
              "event_time": -3,
              "estimate": 0.4824987416317365,
              "se": 0.16860072339080348,
              "pvalue": 0.010365469101040971,
              "lower": 0.1282817658594147,
              "upper": 0.8367157174040583
            },
            {
              "event_time": -2,
              "estimate": 0.26346059693949136,
              "se": 0.16948071362355827,
              "pvalue": 0.13746752357137906,
              "lower": -0.0926051697080218,
              "upper": 0.6195263635870045
            },
            {
              "event_time": 0,
              "estimate": -0.004685867599279081,
              "se": 0.09801797889231112,
              "pvalue": 0.9623971316287375,
              "lower": -0.21061399979401638,
              "upper": 0.20124226459545821
            },
            {
              "event_time": 1,
              "estimate": -0.1424701301584931,
              "se": 0.1262516442226307,
              "pvalue": 0.2739416445244935,
              "lower": -0.4077149921224881,
              "upper": 0.12277473180550183
            },
            {
              "event_time": 2,
              "estimate": -0.2971117011441036,
              "se": 0.237499152762358,
              "pvalue": 0.2269507126473671,
              "lower": -0.7960789057211148,
              "upper": 0.20185550343290753
            }
          ]
        },
        "target": {
          "event_times": [
            0.0,
            1.0,
            2.0
          ],
          "weights": [
            0.4650735294117647,
            0.35294117647058826,
            0.18198529411764705
          ],
          "weighting": "observations"
        },
        "checks": {
          "did2s_vs_direct_imputation_max_post_difference": 3.469446951953614e-17,
          "package_aggregate_vs_estimable_cell_weights": 0.0,
          "saturated_vs_deviations_relative_rss_difference": 4.364760111825431e-16
        },
        "inference": {
          "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
          "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
        },
        "f_test": {
          "F": 0.0019237106559578249,
          "df_num": 1,
          "df_den": 1071,
          "pvalue": 0.9650240752385251,
          "log10_pvalue": -0.015461851824272801,
          "inference": "Homoskedastic nested-model F",
          "observations": 1102,
          "design_columns": 9,
          "restricted_design_columns": 8,
          "fixed_effect_rank": 22,
          "covariance_rank": 1,
          "rss_unrestricted": 1041.8610398642957,
          "rss_restricted": 1041.8629112360832,
          "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": [
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ],
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ],
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ],
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ],
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ]
            ]
          },
          "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": 0.740935801679366
            },
            {
              "event_time": 0.0,
              "cohort": 3,
              "estimate": 0.548236473880332
            },
            {
              "event_time": 1.0,
              "cohort": 3,
              "estimate": 0.01627314066296604
            },
            {
              "event_time": 0.0,
              "cohort": 4,
              "estimate": -0.0806030962427537
            }
          ]
        }
      }
    },
    "code_sha256": {
      "replication_engine.py": "aa5b4502ce913299533b0c0035000b0770df1c69af7de25b04aa0c8532a3ddca",
      "reference_f_test.py": "9cf8f31eeda89784ac1750ea22c35401ae46e24e06279acf938d2d103b78cccf",
      "sparse_did2s.py": "75169d7fbba6e1bad163e564ac9b5b1262a04033eda925dc379dc3eef64c59fa",
      "frequency.py": "8f922ae4be2b63ad9b89515d8e665cda4e11a354258b54ef3b820648243642eb"
    }
  },
  "comparison": {
    "schema": "expensive-replication-v1",
    "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 should not 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,
      "require_never_control_periods": false,
      "latest_cohort_control": true,
      "slug": "s01-p036",
      "study_id": 1,
      "study": "Curriculum and Ideology",
      "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951",
      "description": "People should not influence elections [Table 3 original scale]",
      "source_specification_id": "CI-T3-D02-ORIG",
      "specification_id": "S01-P036",
      "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-D02-ORIG.csv",
      "output_dir": "analyses/archive-expanded/fits/S01-P036"
    },
    "options": {
      "output_dir": "analyses/archive-expanded/fits/S01-P036",
      "regression_results": "analyses/archive-expanded/baselines/S01-P036.json",
      "display_window": [
        -10,
        10
      ],
      "timeout_seconds": 3600
    },
    "source": {
      "file": "CI-T3-D02-ORIG.csv",
      "bytes": 192606,
      "sha256": "646b6d750c743f14850ecc04a5019af525dacc97fe9da5f131dcfb5b520e7bf2"
    },
    "regressions": {
      "y__d": {
        "sample": {
          "outcome": "y",
          "treatment": "d",
          "source_rows": 1754,
          "source_sd": 0.7102989355456222,
          "rows": 1102,
          "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,
          "rows_without_never_control_time_fe_removed": 0
        },
        "estimates": [
          {
            "method": "Static TWFE",
            "estimate": 0.04061398910953183,
            "se": 0.10498415519322277,
            "pvalue": 0.7033966610568598,
            "lower": -0.17994953641199551,
            "upper": 0.2611775146310592
          },
          {
            "method": "Dynamic TWFE",
            "estimate": -0.1279368440483663,
            "se": 0.11242939518936433,
            "pvalue": 0.2700699382430543,
            "lower": -0.36414223837267157,
            "upper": 0.10826855027593899
          },
          {
            "method": "BJS / did2s",
            "estimate": 0.0276364747511732,
            "se": 0.11679476630277469,
            "pvalue": 0.8156201774264826,
            "lower": -0.21774022395912745,
            "upper": 0.27301317346147386
          },
          {
            "method": "Sun\u2013Abraham",
            "estimate": -0.1065328086513135,
            "se": 0.11122451357307145,
            "pvalue": 0.3508439143797461,
            "lower": -0.3402068406320678,
            "upper": 0.12714122332944083
          }
        ],
        "event_studies": {
          "Dynamic TWFE": [
            {
              "event_time": -3,
              "estimate": 0.6472223395884708,
              "se": 0.15399794124453517,
              "pvalue": 0.0005348830082019471,
              "lower": 0.3236846706760824,
              "upper": 0.9707600085008591
            },
            {
              "event_time": -2,
              "estimate": 0.2364974240992186,
              "se": 0.14678652833043682,
              "pvalue": 0.12453952350304494,
              "lower": -0.07188962848066166,
              "upper": 0.5448844766790988
            },
            {
              "event_time": 0,
              "estimate": 0.010952063763280557,
              "se": 0.10605292874345833,
              "pvalue": 0.9188907249377086,
              "lower": -0.21185687166596334,
              "upper": 0.23376099919252447
            },
            {
              "event_time": 1,
              "estimate": -0.2651692653177105,
              "se": 0.11429849640224315,
              "pvalue": 0.03229407671394012,
              "lower": -0.5053014955755941,
              "upper": -0.02503703505982685
            },
            {
              "event_time": 2,
              "estimate": -0.21672743791334173,
              "se": 0.21142600452322158,
              "pvalue": 0.31890752620303375,
              "lower": -0.6609169906962794,
              "upper": 0.22746211486959592
            }
          ],
          "BJS / did2s": [
            {
              "event_time": -3,
              "estimate": 0.13568065665325377,
              "se": 0.07605283000030102,
              "pvalue": 0.09128597883954885,
              "lower": -0.0241004101170835,
              "upper": 0.295461723423591
            },
            {
              "event_time": -2,
              "estimate": -0.014079979189358627,
              "se": 0.07349712359360343,
              "pvalue": 0.850222046585081,
              "lower": -0.1684917060414797,
              "upper": 0.14033174766276243
            },
            {
              "event_time": -1,
              "estimate": -0.025223976039556846,
              "se": 0.029417530851667956,
              "pvalue": 0.40247047150980064,
              "lower": -0.08702791497529677,
              "upper": 0.03657996289618308
            },
            {
              "event_time": 0,
              "estimate": 0.08958297658013759,
              "se": 0.1261104159343214,
              "pvalue": 0.4865873354288536,
              "lower": -0.17536517576024285,
              "upper": 0.354531128920518
            },
            {
              "event_time": 1,
              "estimate": -0.02717438943997692,
              "se": 0.1291542068625835,
              "pvalue": 0.8357167900600544,
              "lower": -0.2985173092274289,
              "upper": 0.2441685303474751
            },
            {
              "event_time": 2,
              "estimate": -0.024371394319808278,
              "se": 0.22462646237801445,
              "pvalue": 0.9148014380597409,
              "lower": -0.4962940799511532,
              "upper": 0.44755129131153665
            }
          ],
          "Sun\u2013Abraham": [
            {
              "event_time": -3,
              "estimate": 0.4824987416317365,
              "se": 0.16860072339080348,
              "pvalue": 0.010365469101040971,
              "lower": 0.1282817658594147,
              "upper": 0.8367157174040583
            },
            {
              "event_time": -2,
              "estimate": 0.26346059693949136,
              "se": 0.16948071362355827,
              "pvalue": 0.13746752357137906,
              "lower": -0.0926051697080218,
              "upper": 0.6195263635870045
            },
            {
              "event_time": 0,
              "estimate": -0.004685867599279081,
              "se": 0.09801797889231112,
              "pvalue": 0.9623971316287375,
              "lower": -0.21061399979401638,
              "upper": 0.20124226459545821
            },
            {
              "event_time": 1,
              "estimate": -0.1424701301584931,
              "se": 0.1262516442226307,
              "pvalue": 0.2739416445244935,
              "lower": -0.4077149921224881,
              "upper": 0.12277473180550183
            },
            {
              "event_time": 2,
              "estimate": -0.2971117011441036,
              "se": 0.237499152762358,
              "pvalue": 0.2269507126473671,
              "lower": -0.7960789057211148,
              "upper": 0.20185550343290753
            }
          ]
        },
        "target": {
          "event_times": [
            0.0,
            1.0,
            2.0
          ],
          "weights": [
            0.4650735294117647,
            0.35294117647058826,
            0.18198529411764705
          ],
          "weighting": "observations"
        },
        "checks": {
          "did2s_vs_direct_imputation_max_post_difference": 3.469446951953614e-17,
          "package_aggregate_vs_estimable_cell_weights": 0.0,
          "saturated_vs_deviations_relative_rss_difference": 4.364760111825431e-16
        },
        "inference": {
          "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
          "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
        },
        "f_test": {
          "F": 0.0019237106559578249,
          "df_num": 1,
          "df_den": 1071,
          "pvalue": 0.9650240752385251,
          "log10_pvalue": -0.015461851824272801,
          "inference": "Homoskedastic nested-model F",
          "observations": 1102,
          "design_columns": 9,
          "restricted_design_columns": 8,
          "fixed_effect_rank": 22,
          "covariance_rank": 1,
          "rss_unrestricted": 1041.8610398642957,
          "rss_restricted": 1041.8629112360832,
          "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": [
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ],
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ],
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ],
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ],
              [
                -0.1453334720118309,
                -0.16488157783119572,
                -0.01958083258390086,
                -0.09696280858279616,
                -0.15075438196615368,
                -0.21630931351637112
              ]
            ]
          },
          "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": 0.740935801679366
            },
            {
              "event_time": 0.0,
              "cohort": 3,
              "estimate": 0.548236473880332
            },
            {
              "event_time": 1.0,
              "cohort": 3,
              "estimate": 0.01627314066296604
            },
            {
              "event_time": 0.0,
              "cohort": 4,
              "estimate": -0.0806030962427537
            }
          ]
        }
      }
    },
    "alternative_models": {
      "y__d": [
        {
          "method": "CS-DID",
          "class": "csdid.att_gt.ATTgt",
          "package": {
            "csdid": "0.4.2",
            "drdid": "1.1.6"
          },
          "parameters": {
            "est_method": "dr",
            "covariate_basis": "intercept",
            "control_group": "notyettreated",
            "xformla": "y ~ 1",
            "panel": false,
            "effective_panel": false,
            "allow_unbalanced_panel": true,
            "weights_name": "weight",
            "fix_weights": null,
            "base_period": "universal",
            "clustervar": "cluster",
            "aggregate": "dynamic",
            "faster_mode": true
          },
          "data_structure": "repeated cross-section",
          "aggregations": {
            "summaries": [
              {
                "typec": "dynamic",
                "aggregation": "Native CS-DID dynamic",
                "matches_treated_unit_year_target": false,
                "estimate": -0.0326065536261188,
                "se": 0.12710465404244484,
                "lower": -0.28172709781673405,
                "upper": 0.21651399056449647
              },
              {
                "typec": "simple",
                "aggregation": "Native CS-DID simple",
                "matches_treated_unit_year_target": false,
                "estimate": 0.025110591140708256,
                "se": 0.10918336251944173,
                "lower": -0.18888486710837796,
                "upper": 0.2391060493897945
              },
              {
                "typec": "group",
                "aggregation": "Native CS-DID group",
                "matches_treated_unit_year_target": false,
                "estimate": -0.00348882977867184,
                "se": 0.10530813964423764,
                "lower": -0.2098889907602923,
                "upper": 0.2029113312029486
              },
              {
                "typec": "treated_cells",
                "aggregation": "Observed treated observations, configured weights",
                "matches_treated_unit_year_target": true,
                "weight_sum": 544.0,
                "post_cells": 6,
                "estimate": 0.029882386805835992,
                "se": 0.10695061978277019,
                "lower": -0.17973697609263062,
                "upper": 0.2395017497043026
              }
            ],
            "same_group_time_effects": true,
            "additional_covariates": []
          },
          "estimate": -0.0326065536261188,
          "se": 0.12710465404244484,
          "lower": -0.28172709781673405,
          "upper": 0.21651399056449647,
          "event_study": [
            {
              "event_time": -3,
              "estimate": 0.4859972550012598,
              "se": 0.1739205543006825,
              "lower": 0.14511923240067925,
              "upper": 0.8268752776018403,
              "relative_to_minus_one": 0.4859972550012598,
              "n": 0.0
            },
            {
              "event_time": -2,
              "estimate": 0.02144833949274827,
              "se": 0.23338726070138746,
              "lower": -0.4359822859324315,
              "upper": 0.47887896491792803,
              "relative_to_minus_one": 0.02144833949274827,
              "n": 0.0
            },
            {
              "event_time": -1,
              "estimate": 0.0,
              "se": null,
              "lower": null,
              "upper": null,
              "relative_to_minus_one": 0.0,
              "n": 0.0
            },
            {
              "event_time": 0,
              "estimate": 0.16424215255516328,
              "se": 0.12752682449181968,
              "lower": -0.08570583051156377,
              "upper": 0.41419013562189033,
              "relative_to_minus_one": 0.16424215255516328,
              "n": 253.0
            },
            {
              "event_time": 1,
              "estimate": 0.032217599504964424,
              "se": 0.12009132881615454,
              "lower": -0.20315707983025566,
              "upper": 0.2675922788401845,
              "relative_to_minus_one": 0.032217599504964424,
              "n": 192.0
            },
            {
              "event_time": 2,
              "estimate": -0.2942794129384841,
              "se": 0.24569067008906215,
              "lower": -0.7758242776505582,
              "upper": 0.18726545177359005,
              "relative_to_minus_one": -0.2942794129384841,
              "n": 99.0
            }
          ],
          "group_time_estimates": [
            {
              "group": 2,
              "year": 1,
              "att": 0.0,
              "se": null,
              "event_time": -1,
              "mass": 0.0
            },
            {
              "group": 2,
              "year": 2,
              "att": 0.2670091885500115,
              "se": 0.17322781850770425,
              "event_time": 0,
              "mass": 96.0
            },
            {
              "group": 2,
              "year": 3,
              "att": 0.11759325417252657,
              "se": 0.15531691544514578,
              "event_time": 1,
              "mass": 118.0
            },
            {
              "group": 2,
              "year": 4,
              "att": -0.2942794129384841,
              "se": 0.2456906700890622,
              "event_time": 2,
              "mass": 99.0
            },
            {
              "group": 3,
              "year": 1,
              "att": 0.17957765338474735,
              "se": 0.2833739954715705,
              "event_time": -2,
              "mass": 0.0
            },
            {
              "group": 3,
              "year": 2,
              "att": 0.0,
              "se": null,
              "event_time": -1,
              "mass": 0.0
            },
            {
              "group": 3,
              "year": 3,
              "att": 0.2886408842996314,
              "se": 0.221293429696763,
              "event_time": 0,
              "mass": 92.0
            },
            {
              "group": 3,
              "year": 4,
              "att": -0.08831273649629978,
              "se": 0.1676732695109608,
              "event_time": 1,
              "mass": 74.0
            },
            {
              "group": 4,
              "year": 1,
              "att": 0.4859972550012598,
              "se": 0.1739205543006825,
              "event_time": -3,
              "mass": 0.0
            },
            {
              "group": 4,
              "year": 2,
              "att": -0.2025681885209171,
              "se": 0.2677222296852925,
              "event_time": -2,
              "mass": 0.0
            },
            {
              "group": 4,
              "year": 3,
              "att": 0.0,
              "se": null,
              "event_time": -1,
              "mass": 0.0
            },
            {
              "group": 4,
              "year": 4,
              "att": -0.21752345607252987,
              "se": 0.2070981626255676,
              "event_time": 0,
              "mass": 65.0
            }
          ],
          "treated_cell_att": 0.029882386805835992,
          "treated_cell_se": 0.10695061978277019,
          "checks": {
            "input_rows": 1102,
            "retained_rows": 1102,
            "all_observed_post_cells_estimated": true,
            "dynamic_cluster_se_error": 0.0
          },
          "target": "Equal average of nonnegative native CS-DID event-time effects",
          "donor_rule": "notyettreated",
          "inference": "Configured-cluster analytical influence-function intervals; observed-cell ratio includes estimated weight-share uncertainty",
          "warnings": [],
          "seconds": 0.050880708266049623,
          "status": "estimated"
        },
        {
          "method": "SDID",
          "class": "SyntheticDID",
          "parameters": {},
          "partial_pooling": {
            "parameter": null,
            "value": null,
            "status": "not_applicable",
            "fit_scope": "Separate adoption-cohort fits",
            "within_cohort_target": "Mean treated outcome history",
            "cross_cohort_partial_pooling": false,
            "shared_structure": null,
            "note": "Regularization penalties are not partial-pooling parameters."
          },
          "estimate": -0.20392128900487047,
          "event_study": [
            {
              "event_time": -3,
              "estimate": 0.6158158983482105,
              "raw_gap": 0.4295154232567442,
              "n": 48,
              "n_cells": 4,
              "weight_sum": 48.0,
              "relative_to_minus_one": 0.6639817808845739
            },
            {
              "event_time": -2,
              "estimate": -0.0046257910171276125,
              "raw_gap": 0.017613781811501483,
              "n": 115,
              "n_cells": 8,
              "weight_sum": 115.0,
              "relative_to_minus_one": 0.043540091519235796
            },
            {
              "event_time": -1,
              "estimate": -0.048165882536363405,
              "raw_gap": -0.05856612670706543,
              "n": 194,
              "n_cells": 13,
              "weight_sum": 194.0,
              "relative_to_minus_one": 0.0
            },
            {
              "event_time": 0,
              "estimate": -0.14588310283419295,
              "raw_gap": -0.1420299455451513,
              "n": 253,
              "n_cells": 13,
              "weight_sum": 253.0,
              "relative_to_minus_one": -0.09771722029782955
            },
            {
              "event_time": 1,
              "estimate": -0.21355642951774437,
              "raw_gap": -0.15874188604200906,
              "n": 192,
              "n_cells": 9,
              "weight_sum": 192.0,
              "relative_to_minus_one": -0.16539054698138095
            },
            {
              "event_time": 2,
              "estimate": -0.3335547649918363,
              "raw_gap": -0.33355476499183684,
              "n": 99,
              "n_cells": 5,
              "weight_sum": 99.0,
              "relative_to_minus_one": -0.2853888824554729
            }
          ],
          "package_event_study": {
            "event_time": [
              -3.0,
              -2.0,
              -1.0,
              0.0,
              1.0,
              2.0
            ],
            "estimate": [
              0.3708546755327453,
              -0.07005373396400552,
              -0.07099914080145688,
              -0.16645860864411868,
              -0.20522640173063567,
              -0.35417316971858875
            ],
            "n": [
              4.0,
              8.0,
              13.0,
              13.0,
              9.0,
              5.0
            ]
          },
          "sdid_pre_gap_correction": [
            {
              "cohort": 1,
              "pre_gap": -5.329070518200751e-16
            },
            {
              "cohort": 2,
              "pre_gap": 0.14222151820731413
            },
            {
              "cohort": 3,
              "pre_gap": -0.18630047509146633
            }
          ],
          "diagnostics": {
            "converged": true,
            "pre_rmse": 0.2723203055835058,
            "zeta_omega": [
              0.0,
              0.796091690725901,
              1.0889417688440404
            ],
            "zeta_lambda": [
              0.0,
              4.733589514028936e-07,
              7.699981090668948e-07
            ]
          },
          "checks": {
            "scalar_vs_treated_cell_average": 2.7755575615628914e-17,
            "native_scalar_vs_unweighted_matrix_average": 3.3306690738754696e-16
          },
          "native_matrix_att": -0.22868280080869835,
          "matrix_preparation": {
            "source_rows": 1102,
            "matrix_shape": [
              19,
              4
            ],
            "observed_cells": 76,
            "missing_cells": 0,
            "repeated_cells": 76,
            "minimum_cell_count": 2,
            "maximum_cell_count": 47,
            "observation_mass": 1102.0,
            "treated_observation_mass": 544.0,
            "within_cell_aggregation": "Observation-weighted outcome mean",
            "fitting_weights": "Standard crabbymetrics objective on cell means; no cell-count precision weighting",
            "reporting_weights": "Sum of original observation weights per treated unit-period"
          },
          "seconds": 0.0003159590996801853,
          "crabbymetrics": "0.9.1",
          "normalization": "Original source outcome / source SD; no mean subtraction",
          "target": "All observed treated observations, using configured observation weights; cell mass equals sum of row weights",
          "status": "estimated"
        },
        {
          "method": "Matrix completion",
          "class": "MatrixCompletion",
          "parameters": {
            "lambda_fraction": 0.25,
            "max_iterations": 1000,
            "tolerance": 1e-12
          },
          "partial_pooling": {
            "parameter": null,
            "value": null,
            "status": "not_applicable",
            "fit_scope": "Joint untreated-cell fit",
            "within_cohort_target": null,
            "cross_cohort_partial_pooling": false,
            "shared_structure": "Low-rank matrix and unit/time effects",
            "note": "Regularization penalties are not partial-pooling parameters."
          },
          "estimate": -0.013869280072033193,
          "event_study": [
            {
              "event_time": -3,
              "estimate": 0.07374036044902593,
              "raw_gap": 0.07374036044902593,
              "n": 48,
              "n_cells": 4,
              "weight_sum": 48.0,
              "relative_to_minus_one": 0.08676646153087879
            },
            {
              "event_time": -2,
              "estimate": 0.0077344323098752854,
              "raw_gap": 0.0077344323098752854,
              "n": 115,
              "n_cells": 8,
              "weight_sum": 115.0,
              "relative_to_minus_one": 0.02076053339172814
            },
            {
              "event_time": -1,
              "estimate": -0.013026101081852856,
              "raw_gap": -0.013026101081852856,
              "n": 194,
              "n_cells": 13,
              "weight_sum": 194.0,
              "relative_to_minus_one": 0.0
            },
            {
              "event_time": 0,
              "estimate": 0.04786599069197457,
              "raw_gap": 0.04786599069197457,
              "n": 253,
              "n_cells": 13,
              "weight_sum": 253.0,
              "relative_to_minus_one": 0.06089209177382743
            },
            {
              "event_time": 1,
              "estimate": -0.050241929819157184,
              "raw_gap": -0.050241929819157184,
              "n": 192,
              "n_cells": 9,
              "weight_sum": 192.0,
              "relative_to_minus_one": -0.03721582873730433
            },
            {
              "event_time": 2,
              "estimate": -0.10109629776744893,
              "raw_gap": -0.10109629776744893,
              "n": 99,
              "n_cells": 5,
              "weight_sum": 99.0,
              "relative_to_minus_one": -0.08807019668559607
            }
          ],
          "package_event_study": {
            "event_time": [
              -3.0,
              -2.0,
              -1.0,
              0.0,
              1.0,
              2.0
            ],
            "estimate": [
              0.06218058769205692,
              -0.01063170420843118,
              -0.012589937210102308,
              0.03397674531821655,
              -0.11688142989204213,
              -0.10268531281008637
            ],
            "n": [
              4.0,
              8.0,
              13.0,
              13.0,
              9.0,
              5.0
            ]
          },
          "sdid_pre_gap_correction": [],
          "diagnostics": {
            "converged": true,
            "iterations": 37,
            "termination_reason": "Relative objective tolerance reached",
            "objective": 0.05539064185426336,
            "lambda_l": 0.017767268674610648,
            "singular_values": [
              1.3499697300136464,
              0.7730343216079176,
              0.3416153379712641,
              0.0
            ],
            "history_objective": [
              0.05556110049383278,
              0.055478710341024154,
              0.05543802841683933,
              0.05541639709910837,
              0.05540470573629357,
              0.055398338441120076,
              0.05539485843604178,
              0.055392953246085466,
              0.05539190932145774,
              0.05539133704256026,
              0.05539102322508901,
              0.05539085110156397,
              0.055390756678409765,
              0.05539070487215543,
              0.05539067644418175,
              0.055390660842677804,
              0.05539065227936322,
              0.05539064757857248,
              0.05539064499778248,
              0.05539064358072783,
              0.055390642802561674,
              0.055390642375185956,
              0.05539064214043948,
              0.05539064201148393,
              0.055390641940635,
              0.05539064190170544,
              0.055390641880312126,
              0.05539064186855417,
              0.05539064186209114,
              0.05539064185853809,
              0.055390641856584565,
              0.05539064185551035,
              0.055390641854919556,
              0.055390641854594594,
              0.055390641854415834,
              0.05539064185431746,
              0.05539064185426336
            ],
            "history_rmse": [
              0.10756724581258718,
              0.1076271203752417,
              0.10766446245168726,
              0.10768430903135973,
              0.10769513624010851,
              0.10770108666435779,
              0.10770435929523467,
              0.10770615740759154,
              0.10770714430427861,
              0.10770768555788511,
              0.1077079822771379,
              0.1077081449104832,
              0.10770823404742155,
              0.10770828290452428,
              0.107708309686293,
              0.10770832436883364,
              0.10770833241921178,
              0.10770833683373579,
              0.10770833925477499,
              0.10770834058268035,
              0.10770834131109262,
              0.10770834171069503,
              0.10770834192993455,
              0.10770834205022918,
              0.10770834211623896,
              0.10770834215246329,
              0.10770834217234371,
              0.10770834218325515,
              0.1077083421892443,
              0.10770834219253186,
              0.10770834219433696,
              0.10770834219532763,
              0.10770834219587129,
              0.10770834219617026,
              0.10770834219633423,
              0.10770834219642414,
              0.10770834219647375
            ]
          },
          "checks": {
            "scalar_vs_treated_cell_average": 0.0,
            "native_scalar_vs_unweighted_matrix_average": 6.938893903907228e-18
          },
          "native_matrix_att": -0.041617101627481334,
          "matrix_preparation": {
            "source_rows": 1102,
            "matrix_shape": [
              19,
              4
            ],
            "observed_cells": 76,
            "missing_cells": 0,
            "repeated_cells": 76,
            "minimum_cell_count": 2,
            "maximum_cell_count": 47,
            "observation_mass": 1102.0,
            "treated_observation_mass": 544.0,
            "within_cell_aggregation": "Observation-weighted outcome mean",
            "fitting_weights": "Standard crabbymetrics objective on cell means; no cell-count precision weighting",
            "reporting_weights": "Sum of original observation weights per treated unit-period"
          },
          "seconds": 0.0002455832436680794,
          "crabbymetrics": "0.9.1",
          "normalization": "Original source outcome / source SD; no mean subtraction",
          "target": "All observed treated observations, using configured observation weights; cell mass equals sum of row weights",
          "status": "estimated"
        },
        {
          "method": "Horizontal ridge",
          "class": "HorizontalPanelRidge",
          "parameters": {
            "penalty": 1.0
          },
          "partial_pooling": {
            "parameter": null,
            "value": null,
            "status": "not_applicable",
            "fit_scope": "Separate adoption-cohort fits",
            "within_cohort_target": "Mean treated outcome history",
            "cross_cohort_partial_pooling": false,
            "shared_structure": null,
            "note": "Regularization penalties are not partial-pooling parameters."
          },
          "estimate": -0.0882545304980701,
          "event_study": [
            {
              "event_time": -3,
              "estimate": 0.2630967804326616,
              "raw_gap": 0.2630967804326616,
              "n": 48,
              "n_cells": 4,
              "weight_sum": 48.0,
              "relative_to_minus_one": 0.3074392366289786
            },
            {
              "event_time": -2,
              "estimate": 0.020910894580465043,
              "raw_gap": 0.020910894580465043,
              "n": 115,
              "n_cells": 8,
              "weight_sum": 115.0,
              "relative_to_minus_one": 0.06525335077678203
            },
            {
              "event_time": -1,
              "estimate": -0.044342456196316986,
              "raw_gap": -0.044342456196316986,
              "n": 194,
              "n_cells": 13,
              "weight_sum": 194.0,
              "relative_to_minus_one": 0.0
            },
            {
              "event_time": 0,
              "estimate": -0.04534294010226102,
              "raw_gap": -0.04534294010226102,
              "n": 253,
              "n_cells": 13,
              "weight_sum": 253.0,
              "relative_to_minus_one": -0.0010004839059440315
            },
            {
              "event_time": 1,
              "estimate": -0.15134096709957645,
              "raw_gap": -0.15134096709957645,
              "n": 192,
              "n_cells": 9,
              "weight_sum": 192.0,
              "relative_to_minus_one": -0.10699851090325946
            },
            {
              "event_time": 2,
              "estimate": -0.07556803092888308,
              "raw_gap": -0.07556803092888308,
              "n": 99,
              "n_cells": 5,
              "weight_sum": 99.0,
              "relative_to_minus_one": -0.03122557473256609
            }
          ],
          "package_event_study": {
            "event_time": [
              -3.0,
              -2.0,
              -1.0,
              0.0,
              1.0,
              2.0
            ],
            "estimate": [
              0.20443603270866273,
              -0.013564364962756398,
              -0.05455609316405003,
              -0.0453965138092172,
              -0.18689119582839128,
              -0.09618643565563496
            ],
            "n": [
              4.0,
              8.0,
              13.0,
              13.0,
              9.0,
              5.0
            ]
          },
          "sdid_pre_gap_correction": [],
          "diagnostics": {
            "pre_rmse": 0.12841576051351458,
            "penalty": 1.0
          },
          "checks": {
            "scalar_vs_treated_cell_average": 0.0,
            "native_scalar_vs_unweighted_matrix_average": 0.0
          },
          "native_matrix_att": -0.10196694889827851,
          "matrix_preparation": {
            "source_rows": 1102,
            "matrix_shape": [
              19,
              4
            ],
            "observed_cells": 76,
            "missing_cells": 0,
            "repeated_cells": 76,
            "minimum_cell_count": 2,
            "maximum_cell_count": 47,
            "observation_mass": 1102.0,
            "treated_observation_mass": 544.0,
            "within_cell_aggregation": "Observation-weighted outcome mean",
            "fitting_weights": "Standard crabbymetrics objective on cell means; no cell-count precision weighting",
            "reporting_weights": "Sum of original observation weights per treated unit-period"
          },
          "seconds": 0.00015174970030784607,
          "crabbymetrics": "0.9.1",
          "normalization": "Original source outcome / source SD; no mean subtraction",
          "target": "All observed treated observations, using configured observation weights; cell mass equals sum of row weights",
          "status": "estimated"
        },
        {
          "method": "Multisynth (cohort-averaged)",
          "status": "unsupported",
          "reason": "multisynth-cohort: requires one observation per unit-period; no observations collapsed."
        },
        {
          "method": "Multisynth (individual)",
          "status": "unsupported",
          "reason": "multisynth-individual: requires one observation per unit-period; no observations collapsed."
        }
      ]
    },
    "combined_table": [
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Static TWFE",
        "Estimate (SDs)": 0.04061398910953183,
        "SE": 0.10498415519322277,
        "Aggregation": "Coefficient",
        "Event study": "No",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Dynamic TWFE",
        "Estimate (SDs)": -0.1279368440483663,
        "SE": 0.11242939518936433,
        "Aggregation": "observations",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "BJS / did2s",
        "Estimate (SDs)": 0.0276364747511732,
        "SE": 0.11679476630277469,
        "Aggregation": "observations",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Sun\u2013Abraham",
        "Estimate (SDs)": -0.1065328086513135,
        "SE": 0.11122451357307145,
        "Aggregation": "observations",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID",
        "Estimate (SDs)": -0.0326065536261188,
        "SE": 0.12710465404244484,
        "Aggregation": "Equal post-event times",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID (treated cells)",
        "Estimate (SDs)": 0.029882386805835992,
        "SE": 0.10695061978277019,
        "Aggregation": "Treated cells",
        "Event study": "Same CS-DID path",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "SDID",
        "Estimate (SDs)": -0.20392128900487047,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Matrix completion",
        "Estimate (SDs)": -0.013869280072033193,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Horizontal ridge",
        "Estimate (SDs)": -0.0882545304980701,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Multisynth (cohort-averaged)",
        "Estimate (SDs)": null,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "No",
        "Status": "unsupported",
        "Note": "multisynth-cohort: requires one observation per unit-period; no observations collapsed."
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Multisynth (individual)",
        "Estimate (SDs)": null,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "No",
        "Status": "unsupported",
        "Note": "multisynth-individual: requires one observation per unit-period; no observations collapsed."
      }
    ],
    "adapter_sha256": {
      "validate_template.py": "acaff11c7459081dc8abf2f6a6eaf882aed70c073f4681e9f5ce6d63eae93e39",
      "mtgpax_worker.py": "7279b1b2aaa3f5909cd39ac1964d2e9c75907219011fe661a015511131affa85",
      "csdid_general.py": "07619c3b3dfee796ae9e4842afdbc6e367a74cece254ede73f7c403dfc924f6d",
      "runner.py": "cbb7d135d08e454e57f87bee2bba8365431617b1f8295727611cadb00414f0f4",
      "matrix_inputs.py": "3f675276f9022147996dd5b62762721be2dd436d5db171491a286b05628176ae",
      "csdid_model.py": "b9fd5536d4886e99a707d2b162db5b11da3ff463930eca5b7590d27500096a3f",
      "multisynth_model.R": "3ae0740c5b75b14f563dacc9961688e8286655866a6b435045a3ef6f453c1604",
      "csdid_streaming.py": "378198e98c44bd46862601bdcb514b19d9ea4038cddc38dad7fdba9b0aa0216b",
      "multisynth_sparse.R": "f9ab3d8d7f7b52a79ccd694c7173f626276a0830f23bb79e527c88c0f0292540",
      "matrix_models.py": "98784341a7fbdc8ef51833554c0439ef6755c5f702e9128d5fa2b1292c5f093c",
      "csdid_aggregations.py": "cbed0fb13450d9398f9a59d53dbfdf8e275a74daa01158c38c0f3396a3e8c6ee",
      "bootstrap_matrix.py": "c6a1f4bb0085e0a21f9a41677fb4def7990be5f6199077a53e951de489ab9550",
      "eligibility.py": "a7b9e165017d6ac92b40068a0a274585962dbb40b09a4101ccd1ddb072ca51dd"
    },
    "scalar_ranges": [
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Static TWFE",
        "Estimate (SDs)": 0.04061398910953183,
        "SE": 0.10498415519322277,
        "Aggregation": "Coefficient",
        "Event study": "No",
        "Status": "estimated",
        "Note": "",
        "lower": -0.17994953641199551,
        "upper": 0.2611775146310592,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Dynamic TWFE",
        "Estimate (SDs)": -0.1279368440483663,
        "SE": 0.11242939518936433,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.36414223837267157,
        "upper": 0.10826855027593899,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "BJS / did2s",
        "Estimate (SDs)": 0.0276364747511732,
        "SE": 0.11679476630277469,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.21774022395912745,
        "upper": 0.27301317346147386,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Sun\u2013Abraham",
        "Estimate (SDs)": -0.1065328086513135,
        "SE": 0.11122451357307145,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.3402068406320678,
        "upper": 0.12714122332944083,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID (equal event-time)",
        "Estimate (SDs)": -0.0326065536261188,
        "SE": 0.12710465404244484,
        "Aggregation": "Equal post-event times",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.28172709781673405,
        "upper": 0.21651399056449647,
        "ci_level": 0.95,
        "inference": "Configured-cluster analytical influence-function intervals; observed-cell ratio includes estimated weight-share uncertainty"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID (treated cells)",
        "Estimate (SDs)": 0.029882386805835992,
        "SE": 0.10695061978277019,
        "Aggregation": "Treated cells",
        "Event study": "Same CS-DID path",
        "Status": "estimated",
        "Note": "",
        "lower": -0.17973697609263062,
        "upper": 0.2395017497043026,
        "ci_level": 0.95,
        "inference": "Configured-cluster analytical influence-function intervals; observed-cell ratio includes estimated weight-share uncertainty"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "SDID",
        "Estimate (SDs)": -0.20392128900487047,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": null,
        "upper": null,
        "ci_level": null,
        "inference": "Not computed"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Matrix completion",
        "Estimate (SDs)": -0.013869280072033193,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": null,
        "upper": null,
        "ci_level": null,
        "inference": "Not computed"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Horizontal ridge",
        "Estimate (SDs)": -0.0882545304980701,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": null,
        "upper": null,
        "ci_level": null,
        "inference": "Not computed"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Multisynth (cohort-averaged)",
        "Estimate (SDs)": null,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "No",
        "Status": "unsupported",
        "Note": "multisynth-cohort: requires one observation per unit-period; no observations collapsed.",
        "lower": null,
        "upper": null,
        "ci_level": null,
        "inference": "Not computed"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Multisynth (individual)",
        "Estimate (SDs)": null,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "No",
        "Status": "unsupported",
        "Note": "multisynth-individual: requires one observation per unit-period; no observations collapsed.",
        "lower": null,
        "upper": null,
        "ci_level": null,
        "inference": "Not computed"
      }
    ],
    "reporting_source": {
      "path": "templates/reporting/comparison_report.py",
      "sha256": "94e9c5116a13335ead2db81834cac48593160291aea51c30c12fe3e11e5da1ce"
    }
  },
  "finished": 1791588647.819154,
  "scalar_ranges": [
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Static TWFE",
      "Estimate (SDs)": 0.04061398910953183,
      "SE": 0.10498415519322277,
      "Aggregation": "Coefficient",
      "Event study": "No",
      "Status": "estimated",
      "Note": "",
      "lower": -0.17994953641199551,
      "upper": 0.2611775146310592,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Dynamic TWFE",
      "Estimate (SDs)": -0.1279368440483663,
      "SE": 0.11242939518936433,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.36414223837267157,
      "upper": 0.10826855027593899,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "BJS / did2s",
      "Estimate (SDs)": 0.0276364747511732,
      "SE": 0.11679476630277469,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.21774022395912745,
      "upper": 0.27301317346147386,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Sun\u2013Abraham",
      "Estimate (SDs)": -0.1065328086513135,
      "SE": 0.11122451357307145,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.3402068406320678,
      "upper": 0.12714122332944083,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "CS-DID (equal event-time)",
      "Estimate (SDs)": -0.0326065536261188,
      "SE": 0.12710465404244484,
      "Aggregation": "Equal post-event times",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.28172709781673405,
      "upper": 0.21651399056449647,
      "ci_level": 0.95,
      "inference": "Configured-cluster analytical influence-function intervals; observed-cell ratio includes estimated weight-share uncertainty"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "CS-DID (treated cells)",
      "Estimate (SDs)": 0.029882386805835992,
      "SE": 0.10695061978277019,
      "Aggregation": "Treated cells",
      "Event study": "Same CS-DID path",
      "Status": "estimated",
      "Note": "",
      "lower": -0.17973697609263062,
      "upper": 0.2395017497043026,
      "ci_level": 0.95,
      "inference": "Configured-cluster analytical influence-function intervals; observed-cell ratio includes estimated weight-share uncertainty"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "SDID",
      "Estimate (SDs)": -0.20392128900487047,
      "SE": null,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": null,
      "upper": null,
      "ci_level": null,
      "inference": "Not computed"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Matrix completion",
      "Estimate (SDs)": -0.013869280072033193,
      "SE": null,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": null,
      "upper": null,
      "ci_level": null,
      "inference": "Not computed"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Horizontal ridge",
      "Estimate (SDs)": -0.0882545304980701,
      "SE": null,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": null,
      "upper": null,
      "ci_level": null,
      "inference": "Not computed"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Multisynth (cohort-averaged)",
      "Estimate (SDs)": null,
      "SE": null,
      "Aggregation": "Treated cells",
      "Event study": "No",
      "Status": "unsupported",
      "Note": "multisynth-cohort: requires one observation per unit-period; no observations collapsed.",
      "lower": null,
      "upper": null,
      "ci_level": null,
      "inference": "Not computed"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Multisynth (individual)",
      "Estimate (SDs)": null,
      "SE": null,
      "Aggregation": "Treated cells",
      "Event study": "No",
      "Status": "unsupported",
      "Note": "multisynth-individual: requires one observation per unit-period; no observations collapsed.",
      "lower": null,
      "upper": null,
      "ci_level": null,
      "inference": "Not computed"
    }
  ]
}
