{
  "study_id": 1,
  "specification_id": "S01-P038",
  "source_specification_id": "CI-T3-D04-ORIG",
  "role": "active_comparison",
  "published_source_location": "Table 3, panel D, row 4 (\"Democracy is not always preferable\"), accepted-manuscript p. 46",
  "outcome_label": "Democracy is not always preferable [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-P038.json",
  "input_bytes": 181420,
  "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": "Democracy is not always preferable [Table 3 original scale]",
        "d": "New Curriculum indicator (newcurr)"
      },
      "allow_repeated_cells": true,
      "time_fe": null,
      "latest_cohort_control": true,
      "slug": "s01-p038",
      "study_id": 1,
      "study": "Curriculum and Ideology",
      "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951",
      "description": "Democracy is not always preferable [Table 3 original scale]",
      "source_specification_id": "CI-T3-D04-ORIG",
      "specification_id": "S01-P038",
      "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-D04-ORIG.csv",
      "output_dir": "analyses/full-archive/results/S01-P038"
    },
    "source": {
      "file": "CI-T3-D04-ORIG.csv",
      "bytes": 181420,
      "sha256": "fc96045ea73235a69f2eb46e9921c4c099f5fad2e8ade4bcc3efb7dd1310df0b"
    },
    "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": 1651,
          "source_sd": 0.46243145444846473,
          "rows": 1037,
          "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": 0.1550319334264455,
            "se": 0.14745843572711265,
            "pvalue": 0.3070038701988684,
            "lower": -0.154766744212112,
            "upper": 0.464830611065003
          },
          {
            "method": "Dynamic TWFE",
            "estimate": 0.15291623793325626,
            "se": 0.1567412542713766,
            "pvalue": 0.34219445354244704,
            "lower": -0.17638491778050364,
            "upper": 0.48221739364701616
          },
          {
            "method": "BJS / did2s",
            "estimate": 0.1456500846980343,
            "se": 0.13815811585661297,
            "pvalue": 0.3057249479605791,
            "lower": -0.14460934594329877,
            "upper": 0.4359095153393674
          },
          {
            "method": "Sun\u2013Abraham",
            "estimate": 0.06975588945735992,
            "se": 0.16618754452453124,
            "pvalue": 0.6796413077311627,
            "lower": -0.27939118564776666,
            "upper": 0.41890296456248644
          }
        ],
        "event_studies": {
          "Dynamic TWFE": [
            {
              "event_time": -3,
              "estimate": -0.10090718750813898,
              "se": 0.17547253140113533,
              "pvalue": 0.5723696504361155,
              "lower": -0.4695612961856719,
              "upper": 0.2677469211693939
            },
            {
              "event_time": -2,
              "estimate": -0.11909652561563072,
              "se": 0.1252691970173501,
              "pvalue": 0.35433628170023435,
              "lower": -0.3822773425926785,
              "upper": 0.14408429136141704
            },
            {
              "event_time": 0,
              "estimate": 0.16219786063842445,
              "se": 0.15127547473621766,
              "pvalue": 0.29779494359389247,
              "lower": -0.15562011838282158,
              "upper": 0.4800158396596705
            },
            {
              "event_time": 1,
              "estimate": 0.10838397580576643,
              "se": 0.19371928404777905,
              "pvalue": 0.5827230931580529,
              "lower": -0.29860513766992675,
              "upper": 0.5153730892814596
            },
            {
              "event_time": 2,
              "estimate": 0.21286073304912212,
              "se": 0.20303711109182654,
              "pvalue": 0.3083357241046378,
              "lower": -0.21370440863056445,
              "upper": 0.6394258747288086
            }
          ],
          "BJS / did2s": [
            {
              "event_time": -3,
              "estimate": 0.08190163744225756,
              "se": 0.08047841687151855,
              "pvalue": 0.32231255454264157,
              "lower": -0.08717724232682197,
              "upper": 0.2509805172113371
            },
            {
              "event_time": -2,
              "estimate": -0.010454923478291071,
              "se": 0.04253417565759595,
              "pvalue": 0.8086175344413531,
              "lower": -0.09981591058081826,
              "upper": 0.0789060636242361
            },
            {
              "event_time": -1,
              "estimate": -0.012920309366192314,
              "se": 0.030526312682897638,
              "pvalue": 0.6771256958597902,
              "lower": -0.0770537124889815,
              "upper": 0.05121309375659687
            },
            {
              "event_time": 0,
              "estimate": 0.17036225648038278,
              "se": 0.14911818935413315,
              "pvalue": 0.2682305078481823,
              "lower": -0.1429234341345521,
              "upper": 0.48364794709531767
            },
            {
              "event_time": 1,
              "estimate": 0.0820691645804349,
              "se": 0.17647370577263535,
              "pvalue": 0.647471961477403,
              "lower": -0.28868833340030686,
              "upper": 0.45282666256117665
            },
            {
              "event_time": 2,
              "estimate": 0.20178397679049248,
              "se": 0.17207054187677814,
              "pvalue": 0.2562098369122207,
              "lower": -0.15972281711464925,
              "upper": 0.5632907706956343
            }
          ],
          "Sun\u2013Abraham": [
            {
              "event_time": -3,
              "estimate": 0.3357391771118242,
              "se": 0.37615361135438374,
              "pvalue": 0.3838711244051553,
              "lower": -0.4545302354988623,
              "upper": 1.1260085897225107
            },
            {
              "event_time": -2,
              "estimate": -0.0570572569560133,
              "se": 0.16197773410197233,
              "pvalue": 0.7287386131443927,
              "lower": -0.3973598485591494,
              "upper": 0.28324533464712276
            },
            {
              "event_time": 0,
              "estimate": 0.14361694101509814,
              "se": 0.1207962710947271,
              "pvalue": 0.24992049306325342,
              "lower": -0.11016660730674549,
              "upper": 0.3974004893369418
            },
            {
              "event_time": 1,
              "estimate": -0.09733382863553004,
              "se": 0.26348793679952126,
              "pvalue": 0.7161355950839778,
              "lower": -0.650901442395282,
              "upper": 0.4562337851242219
            },
            {
              "event_time": 2,
              "estimate": 0.19435706519882548,
              "se": 0.21538826328538838,
              "pvalue": 0.37878424989680537,
              "lower": -0.2581568843466866,
              "upper": 0.6468710147443375
            }
          ]
        },
        "target": {
          "event_times": [
            0.0,
            1.0,
            2.0
          ],
          "weights": [
            0.4714003944773176,
            0.34516765285996054,
            0.1834319526627219
          ],
          "weighting": "observations"
        },
        "checks": {
          "did2s_vs_direct_imputation_max_post_difference": 5.551115123125783e-17,
          "package_aggregate_vs_estimable_cell_weights": 0.0,
          "saturated_vs_deviations_relative_rss_difference": 4.458650086904924e-16
        },
        "inference": {
          "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
          "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
        },
        "f_test": {
          "F": 0.036092965912545176,
          "df_num": 1,
          "df_den": 1006,
          "pvalue": 0.8493619630133346,
          "log10_pvalue": -0.07090719192469236,
          "inference": "Homoskedastic nested-model F",
          "observations": 1037,
          "design_columns": 9,
          "restricted_design_columns": 8,
          "fixed_effect_rank": 22,
          "covariance_rank": 1,
          "rss_unrestricted": 1019.9215951528903,
          "rss_restricted": 1019.9581875936133,
          "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": [
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ],
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ],
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ],
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ],
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ]
            ]
          },
          "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": -0.7432006618816084
            },
            {
              "event_time": 0.0,
              "cohort": 3,
              "estimate": -0.24998833316131158
            },
            {
              "event_time": 1.0,
              "cohort": 3,
              "estimate": 0.073956366486191
            },
            {
              "event_time": 0.0,
              "cohort": 4,
              "estimate": 0.7142683800202659
            }
          ]
        }
      }
    },
    "code_sha256": {
      "replication_engine.py": "85957b22db6cf6312f27a925b03b907e4d51071cc59a60cfdf2d7b039b1e34eb",
      "reference_f_test.py": "26f3d65e1ff59d46f05bb28011b2ed34b9ee150f04c47c144dd6836a4d75d6f0",
      "sparse_did2s.py": "a348042269b0077dd2916898779f992f0b5fc2971edfee8b0118d3af715eaafb"
    }
  },
  "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": "Democracy is not always preferable [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-p038",
      "study_id": 1,
      "study": "Curriculum and Ideology",
      "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951",
      "description": "Democracy is not always preferable [Table 3 original scale]",
      "source_specification_id": "CI-T3-D04-ORIG",
      "specification_id": "S01-P038",
      "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-D04-ORIG.csv",
      "output_dir": "analyses/archive-expanded/fits/S01-P038"
    },
    "options": {
      "output_dir": "analyses/archive-expanded/fits/S01-P038",
      "regression_results": "analyses/archive-expanded/baselines/S01-P038.json",
      "display_window": [
        -10,
        10
      ],
      "timeout_seconds": 3600
    },
    "source": {
      "file": "CI-T3-D04-ORIG.csv",
      "bytes": 181420,
      "sha256": "fc96045ea73235a69f2eb46e9921c4c099f5fad2e8ade4bcc3efb7dd1310df0b"
    },
    "regressions": {
      "y__d": {
        "sample": {
          "outcome": "y",
          "treatment": "d",
          "source_rows": 1651,
          "source_sd": 0.46243145444846473,
          "rows": 1037,
          "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": 0.1550319334264455,
            "se": 0.14745843572711265,
            "pvalue": 0.3070038701988684,
            "lower": -0.154766744212112,
            "upper": 0.464830611065003
          },
          {
            "method": "Dynamic TWFE",
            "estimate": 0.15291623793325626,
            "se": 0.1567412542713766,
            "pvalue": 0.34219445354244704,
            "lower": -0.17638491778050364,
            "upper": 0.48221739364701616
          },
          {
            "method": "BJS / did2s",
            "estimate": 0.1456500846980343,
            "se": 0.13815811585661297,
            "pvalue": 0.3057249479605791,
            "lower": -0.14460934594329877,
            "upper": 0.4359095153393674
          },
          {
            "method": "Sun\u2013Abraham",
            "estimate": 0.06975588945735992,
            "se": 0.16618754452453124,
            "pvalue": 0.6796413077311627,
            "lower": -0.27939118564776666,
            "upper": 0.41890296456248644
          }
        ],
        "event_studies": {
          "Dynamic TWFE": [
            {
              "event_time": -3,
              "estimate": -0.10090718750813898,
              "se": 0.17547253140113533,
              "pvalue": 0.5723696504361155,
              "lower": -0.4695612961856719,
              "upper": 0.2677469211693939
            },
            {
              "event_time": -2,
              "estimate": -0.11909652561563072,
              "se": 0.1252691970173501,
              "pvalue": 0.35433628170023435,
              "lower": -0.3822773425926785,
              "upper": 0.14408429136141704
            },
            {
              "event_time": 0,
              "estimate": 0.16219786063842445,
              "se": 0.15127547473621766,
              "pvalue": 0.29779494359389247,
              "lower": -0.15562011838282158,
              "upper": 0.4800158396596705
            },
            {
              "event_time": 1,
              "estimate": 0.10838397580576643,
              "se": 0.19371928404777905,
              "pvalue": 0.5827230931580529,
              "lower": -0.29860513766992675,
              "upper": 0.5153730892814596
            },
            {
              "event_time": 2,
              "estimate": 0.21286073304912212,
              "se": 0.20303711109182654,
              "pvalue": 0.3083357241046378,
              "lower": -0.21370440863056445,
              "upper": 0.6394258747288086
            }
          ],
          "BJS / did2s": [
            {
              "event_time": -3,
              "estimate": 0.08190163744225756,
              "se": 0.08047841687151855,
              "pvalue": 0.32231255454264157,
              "lower": -0.08717724232682197,
              "upper": 0.2509805172113371
            },
            {
              "event_time": -2,
              "estimate": -0.010454923478291071,
              "se": 0.04253417565759595,
              "pvalue": 0.8086175344413531,
              "lower": -0.09981591058081826,
              "upper": 0.0789060636242361
            },
            {
              "event_time": -1,
              "estimate": -0.012920309366192314,
              "se": 0.030526312682897638,
              "pvalue": 0.6771256958597902,
              "lower": -0.0770537124889815,
              "upper": 0.05121309375659687
            },
            {
              "event_time": 0,
              "estimate": 0.17036225648038278,
              "se": 0.14911818935413315,
              "pvalue": 0.2682305078481823,
              "lower": -0.1429234341345521,
              "upper": 0.48364794709531767
            },
            {
              "event_time": 1,
              "estimate": 0.0820691645804349,
              "se": 0.17647370577263535,
              "pvalue": 0.647471961477403,
              "lower": -0.28868833340030686,
              "upper": 0.45282666256117665
            },
            {
              "event_time": 2,
              "estimate": 0.20178397679049248,
              "se": 0.17207054187677814,
              "pvalue": 0.2562098369122207,
              "lower": -0.15972281711464925,
              "upper": 0.5632907706956343
            }
          ],
          "Sun\u2013Abraham": [
            {
              "event_time": -3,
              "estimate": 0.3357391771118242,
              "se": 0.37615361135438374,
              "pvalue": 0.3838711244051553,
              "lower": -0.4545302354988623,
              "upper": 1.1260085897225107
            },
            {
              "event_time": -2,
              "estimate": -0.0570572569560133,
              "se": 0.16197773410197233,
              "pvalue": 0.7287386131443927,
              "lower": -0.3973598485591494,
              "upper": 0.28324533464712276
            },
            {
              "event_time": 0,
              "estimate": 0.14361694101509814,
              "se": 0.1207962710947271,
              "pvalue": 0.24992049306325342,
              "lower": -0.11016660730674549,
              "upper": 0.3974004893369418
            },
            {
              "event_time": 1,
              "estimate": -0.09733382863553004,
              "se": 0.26348793679952126,
              "pvalue": 0.7161355950839778,
              "lower": -0.650901442395282,
              "upper": 0.4562337851242219
            },
            {
              "event_time": 2,
              "estimate": 0.19435706519882548,
              "se": 0.21538826328538838,
              "pvalue": 0.37878424989680537,
              "lower": -0.2581568843466866,
              "upper": 0.6468710147443375
            }
          ]
        },
        "target": {
          "event_times": [
            0.0,
            1.0,
            2.0
          ],
          "weights": [
            0.4714003944773176,
            0.34516765285996054,
            0.1834319526627219
          ],
          "weighting": "observations"
        },
        "checks": {
          "did2s_vs_direct_imputation_max_post_difference": 5.551115123125783e-17,
          "package_aggregate_vs_estimable_cell_weights": 0.0,
          "saturated_vs_deviations_relative_rss_difference": 4.458650086904924e-16
        },
        "inference": {
          "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
          "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
        },
        "f_test": {
          "F": 0.036092965912545176,
          "df_num": 1,
          "df_den": 1006,
          "pvalue": 0.8493619630133346,
          "log10_pvalue": -0.07090719192469236,
          "inference": "Homoskedastic nested-model F",
          "observations": 1037,
          "design_columns": 9,
          "restricted_design_columns": 8,
          "fixed_effect_rank": 22,
          "covariance_rank": 1,
          "rss_unrestricted": 1019.9215951528903,
          "rss_restricted": 1019.9581875936133,
          "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": [
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ],
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ],
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ],
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ],
              [
                -0.13935031722056884,
                -0.16425995043041058,
                -0.018004551029121532,
                -0.09169688794795626,
                -0.149462256621719,
                -0.2127532457187867
              ]
            ]
          },
          "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": -0.7432006618816084
            },
            {
              "event_time": 0.0,
              "cohort": 3,
              "estimate": -0.24998833316131158
            },
            {
              "event_time": 1.0,
              "cohort": 3,
              "estimate": 0.073956366486191
            },
            {
              "event_time": 0.0,
              "cohort": 4,
              "estimate": 0.7142683800202659
            }
          ]
        }
      }
    },
    "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": 0.12895312045671717,
                "se": 0.13995198565441774,
                "lower": -0.14534773099080792,
                "upper": 0.4032539719042423
              },
              {
                "typec": "simple",
                "aggregation": "Native CS-DID simple",
                "matches_treated_unit_year_target": false,
                "estimate": 0.11657934948598103,
                "se": 0.13738490882354504,
                "lower": -0.1526901238274863,
                "upper": 0.3858488227994484
              },
              {
                "typec": "group",
                "aggregation": "Native CS-DID group",
                "matches_treated_unit_year_target": false,
                "estimate": 0.19617368202828162,
                "se": 0.15746699120740373,
                "lower": -0.11245594949211507,
                "upper": 0.5048033135486782
              },
              {
                "typec": "treated_cells",
                "aggregation": "Observed treated observations, configured weights",
                "matches_treated_unit_year_target": true,
                "weight_sum": 507.0,
                "post_cells": 6,
                "estimate": 0.13210224063008136,
                "se": 0.13688342172450982,
                "lower": -0.1361843360305655,
                "upper": 0.4003888172907282
              }
            ],
            "same_group_time_effects": true,
            "additional_covariates": []
          },
          "estimate": 0.12895312045671717,
          "se": 0.13995198565441774,
          "lower": -0.14534773099080792,
          "upper": 0.4032539719042423,
          "event_study": [
            {
              "event_time": -3,
              "estimate": 0.29982136701906553,
              "se": 0.3660290119669678,
              "lower": -0.4175823137329718,
              "upper": 1.017225047771103,
              "relative_to_minus_one": 0.29982136701906553,
              "n": 0.0
            },
            {
              "event_time": -2,
              "estimate": 0.02713679927683091,
              "se": 0.19964311573617094,
              "lower": -0.3641565173274258,
              "upper": 0.4184301158810877,
              "relative_to_minus_one": 0.02713679927683091,
              "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": 0.14053431829659824,
              "se": 0.17062823899823298,
              "lower": -0.1938908848854311,
              "upper": 0.4749595214786276,
              "relative_to_minus_one": 0.14053431829659824,
              "n": 239.0
            },
            {
              "event_time": 1,
              "estimate": 0.02360056916880414,
              "se": 0.17406929874500457,
              "lower": -0.31756898718554805,
              "upper": 0.36477012552315635,
              "relative_to_minus_one": 0.02360056916880414,
              "n": 175.0
            },
            {
              "event_time": 2,
              "estimate": 0.2227244739047491,
              "se": 0.20911946605474135,
              "lower": -0.18714214802879037,
              "upper": 0.6325910958382885,
              "relative_to_minus_one": 0.2227244739047491,
              "n": 93.0
            }
          ],
          "group_time_estimates": [
            {
              "group": 2,
              "year": 1,
              "att": 0.0,
              "se": null,
              "event_time": -1,
              "mass": 0.0
            },
            {
              "group": 2,
              "year": 2,
              "att": -0.07975400652621292,
              "se": 0.16239938015704986,
              "event_time": 0,
              "mass": 89.0
            },
            {
              "group": 2,
              "year": 3,
              "att": 0.07507493540417287,
              "se": 0.1982188726471891,
              "event_time": 1,
              "mass": 106.0
            },
            {
              "group": 2,
              "year": 4,
              "att": 0.2227244739047491,
              "se": 0.20911946605474138,
              "event_time": 2,
              "mass": 93.0
            },
            {
              "group": 3,
              "year": 1,
              "att": -0.24990859232163776,
              "se": 0.12907634900661855,
              "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": 0.03276288372163253,
              "se": 0.21414625509515492,
              "event_time": 0,
              "mass": 87.0
            },
            {
              "group": 3,
              "year": 4,
              "att": -0.048577508947211065,
              "se": 0.24336073851374376,
              "event_time": 1,
              "mass": 69.0
            },
            {
              "group": 4,
              "year": 1,
              "att": 0.29982136701906553,
              "se": 0.36602901196696774,
              "event_time": -3,
              "mass": 0.0
            },
            {
              "group": 4,
              "year": 2,
              "att": 0.4181748259600861,
              "se": 0.31262973912882014,
              "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": 0.7286365172678688,
              "se": 0.29737770083884996,
              "event_time": 0,
              "mass": 63.0
            }
          ],
          "treated_cell_att": 0.13210224063008136,
          "treated_cell_se": 0.13688342172450982,
          "checks": {
            "input_rows": 1037,
            "retained_rows": 1037,
            "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": 0.04542320780456066,
          "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": 0.04064217427610662,
          "event_study": [
            {
              "event_time": -3,
              "estimate": 0.04752815130748974,
              "raw_gap": -0.022174144831165515,
              "n": 43,
              "n_cells": 4,
              "weight_sum": 43.0,
              "relative_to_minus_one": 0.11344784932456681
            },
            {
              "event_time": -2,
              "estimate": -0.01203883803829953,
              "raw_gap": -0.03040127537691012,
              "n": 107,
              "n_cells": 8,
              "weight_sum": 107.0,
              "relative_to_minus_one": 0.05388085997877755
            },
            {
              "event_time": -1,
              "estimate": -0.06591969801707707,
              "raw_gap": -0.08145610971580684,
              "n": 186,
              "n_cells": 13,
              "weight_sum": 186.0,
              "relative_to_minus_one": 0.0
            },
            {
              "event_time": 0,
              "estimate": 0.0777807394831397,
              "raw_gap": 0.0630153511218841,
              "n": 239,
              "n_cells": 13,
              "weight_sum": 239.0,
              "relative_to_minus_one": 0.14370043750021677
            },
            {
              "event_time": 1,
              "estimate": -0.07194877225112274,
              "raw_gap": -0.06804073534805091,
              "n": 175,
              "n_cells": 9,
              "weight_sum": 175.0,
              "relative_to_minus_one": -0.006029074234045667
            },
            {
              "event_time": 2,
              "estimate": 0.1570647394135715,
              "raw_gap": 0.15706473941357155,
              "n": 93,
              "n_cells": 5,
              "weight_sum": 93.0,
              "relative_to_minus_one": 0.22298443743064855
            }
          ],
          "package_event_study": {
            "event_time": [
              -3.0,
              -2.0,
              -1.0,
              0.0,
              1.0,
              2.0
            ],
            "estimate": [
              0.02515261430095933,
              0.03784917070696267,
              -0.03103106329688754,
              0.04519563473691179,
              -0.09357815633630097,
              0.0650642265252362
            ],
            "n": [
              4.0,
              8.0,
              13.0,
              13.0,
              9.0,
              5.0
            ]
          },
          "sdid_pre_gap_correction": [
            {
              "cohort": 1,
              "pre_gap": 4.4408920985006264e-17
            },
            {
              "cohort": 2,
              "pre_gap": 0.0099116877976459
            },
            {
              "cohort": 3,
              "pre_gap": -0.06970229613865525
            }
          ],
          "diagnostics": {
            "converged": true,
            "pre_rmse": 0.07268843130303981,
            "zeta_omega": [
              0.0,
              1.0454263645499255,
              0.868237630943694
            ],
            "zeta_lambda": [
              0.0,
              6.216142354671e-07,
              6.139367165216289e-07
            ]
          },
          "checks": {
            "scalar_vs_treated_cell_average": 6.938893903907228e-18,
            "native_scalar_vs_unweighted_matrix_average": 1.0408340855860843e-17
          },
          "native_matrix_att": 0.01000654293899179,
          "matrix_preparation": {
            "source_rows": 1037,
            "matrix_shape": [
              19,
              4
            ],
            "observed_cells": 76,
            "missing_cells": 0,
            "repeated_cells": 76,
            "minimum_cell_count": 2,
            "maximum_cell_count": 45,
            "observation_mass": 1037.0,
            "treated_observation_mass": 507.0,
            "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": 0.0003215828910470009,
          "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": 0.10693388144283181,
          "event_study": [
            {
              "event_time": -3,
              "estimate": 0.029998607262414902,
              "raw_gap": 0.029998607262414902,
              "n": 43,
              "n_cells": 4,
              "weight_sum": 43.0,
              "relative_to_minus_one": 0.0396307849052865
            },
            {
              "event_time": -2,
              "estimate": 0.0015579017590411888,
              "raw_gap": 0.0015579017590411888,
              "n": 107,
              "n_cells": 8,
              "weight_sum": 107.0,
              "relative_to_minus_one": 0.01119007940191279
            },
            {
              "event_time": -1,
              "estimate": -0.009632177642871602,
              "raw_gap": -0.009632177642871602,
              "n": 186,
              "n_cells": 13,
              "weight_sum": 186.0,
              "relative_to_minus_one": 0.0
            },
            {
              "event_time": 0,
              "estimate": 0.13120587801869402,
              "raw_gap": 0.13120587801869402,
              "n": 239,
              "n_cells": 13,
              "weight_sum": 239.0,
              "relative_to_minus_one": 0.14083805566156563
            },
            {
              "event_time": 1,
              "estimate": 0.02005873727814025,
              "raw_gap": 0.02005873727814025,
              "n": 175,
              "n_cells": 9,
              "weight_sum": 175.0,
              "relative_to_minus_one": 0.029690914921011852
            },
            {
              "event_time": 2,
              "estimate": 0.20803219377820759,
              "raw_gap": 0.20803219377820759,
              "n": 93,
              "n_cells": 5,
              "weight_sum": 93.0,
              "relative_to_minus_one": 0.2176643714210792
            }
          ],
          "package_event_study": {
            "event_time": [
              -3.0,
              -2.0,
              -1.0,
              0.0,
              1.0,
              2.0
            ],
            "estimate": [
              0.0058172010023196385,
              0.011142451200418457,
              -0.008646832888514687,
              0.07361411301444351,
              -0.0071135926022545875,
              0.1075237784573907
            ],
            "n": [
              4.0,
              8.0,
              13.0,
              13.0,
              9.0,
              5.0
            ]
          },
          "sdid_pre_gap_correction": [],
          "diagnostics": {
            "converged": true,
            "iterations": 38,
            "termination_reason": "Relative objective tolerance reached",
            "objective": 0.04416089052421622,
            "lambda_l": 0.01772172679918785,
            "singular_values": [
              1.3251438042749943,
              0.6518305669273804,
              0.0,
              0.0
            ],
            "history_objective": [
              0.0445312031982729,
              0.044212499280214604,
              0.044177437887816334,
              0.04416861598557366,
              0.044165039007959934,
              0.044163215361119786,
              0.044162210747027,
              0.0441616438564422,
              0.04416132131208793,
              0.04416113715629168,
              0.0441610318261854,
              0.04416097151832568,
              0.044160936965294655,
              0.044160917159384125,
              0.044160905802952094,
              0.04416089928981011,
              0.044160895553725314,
              0.04416089341031927,
              0.04416089218049553,
              0.04416089147478859,
              0.044160891069799244,
              0.044160890837366955,
              0.04416089070395959,
              0.04416089062738379,
              0.04416089058342666,
              0.044160890558192334,
              0.04416089054370533,
              0.04416089053538799,
              0.04416089053061259,
              0.044160890527870596,
              0.04416089052629616,
              0.04416089052539204,
              0.04416089052487287,
              0.04416089052457472,
              0.044160890524403515,
              0.044160890524305135,
              0.04416089052424868,
              0.04416089052421622
            ],
            "history_rmse": [
              0.09986929181018717,
              0.09659112793479495,
              0.09586910942051935,
              0.09564794187888041,
              0.09557261860799954,
              0.09554550390264434,
              0.09553535111042089,
              0.0955313693921894,
              0.09552968913723511,
              0.0955288951483682,
              0.09552846226752239,
              0.09552819156695366,
              0.09552800455444889,
              0.09552786769785018,
              0.09552776469895469,
              0.09552768627451669,
              0.09552762633914823,
              0.09552758052152216,
              0.09552754553229499,
              0.09552751884905832,
              0.09552749852708167,
              0.09552748306751806,
              0.09552747131787723,
              0.09552746239442221,
              0.09552745562121784,
              0.09552745048236927,
              0.0955274465848025,
              0.09552744362942774,
              0.0955274413889014,
              0.09552743969055282,
              0.09552743840331564,
              0.09552743742774768,
              0.09552743668842813,
              0.09552743612816739,
              0.09552743570361018,
              0.09552743538189272,
              0.09552743513810696,
              0.0955274349533763
            ]
          },
          "checks": {
            "scalar_vs_treated_cell_average": 1.3877787807814457e-17,
            "native_scalar_vs_unweighted_matrix_average": 1.3877787807814457e-17
          },
          "native_matrix_att": 0.05298444548349732,
          "matrix_preparation": {
            "source_rows": 1037,
            "matrix_shape": [
              19,
              4
            ],
            "observed_cells": 76,
            "missing_cells": 0,
            "repeated_cells": 76,
            "minimum_cell_count": 2,
            "maximum_cell_count": 45,
            "observation_mass": 1037.0,
            "treated_observation_mass": 507.0,
            "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": 0.0002589169889688492,
          "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": -0.12366149904646326,
          "event_study": [
            {
              "event_time": -3,
              "estimate": -0.015976976543435526,
              "raw_gap": -0.015976976543435526,
              "n": 43,
              "n_cells": 4,
              "weight_sum": 43.0,
              "relative_to_minus_one": 0.06124726601865242
            },
            {
              "event_time": -2,
              "estimate": -0.029115559262877424,
              "raw_gap": -0.029115559262877424,
              "n": 107,
              "n_cells": 8,
              "weight_sum": 107.0,
              "relative_to_minus_one": 0.04810868329921052
            },
            {
              "event_time": -1,
              "estimate": -0.07722424256208794,
              "raw_gap": -0.07722424256208794,
              "n": 186,
              "n_cells": 13,
              "weight_sum": 186.0,
              "relative_to_minus_one": 0.0
            },
            {
              "event_time": 0,
              "estimate": -0.0401502533531364,
              "raw_gap": -0.0401502533531364,
              "n": 239,
              "n_cells": 13,
              "weight_sum": 239.0,
              "relative_to_minus_one": 0.037073989208951545
            },
            {
              "event_time": 1,
              "estimate": -0.20932607216585844,
              "raw_gap": -0.20932607216585844,
              "n": 175,
              "n_cells": 9,
              "weight_sum": 175.0,
              "relative_to_minus_one": -0.13210182960377048
            },
            {
              "event_time": 2,
              "estimate": -0.17707964339926924,
              "raw_gap": -0.17707964339926924,
              "n": 93,
              "n_cells": 5,
              "weight_sum": 93.0,
              "relative_to_minus_one": -0.0998554008371813
            }
          ],
          "package_event_study": {
            "event_time": [
              -3.0,
              -2.0,
              -1.0,
              0.0,
              1.0,
              2.0
            ],
            "estimate": [
              0.03134978258868931,
              0.027188304603366936,
              -0.026377351321661482,
              -0.07182043376843732,
              -0.24726572718330456,
              -0.26908015628760457
            ],
            "n": [
              4.0,
              8.0,
              13.0,
              13.0,
              9.0,
              5.0
            ]
          },
          "sdid_pre_gap_correction": [],
          "diagnostics": {
            "pre_rmse": 0.04394651314820828,
            "penalty": 1.0
          },
          "checks": {
            "scalar_vs_treated_cell_average": 1.3877787807814457e-17,
            "native_scalar_vs_unweighted_matrix_average": 0.0
          },
          "native_matrix_att": -0.16683177648434994,
          "matrix_preparation": {
            "source_rows": 1037,
            "matrix_shape": [
              19,
              4
            ],
            "observed_cells": 76,
            "missing_cells": 0,
            "repeated_cells": 76,
            "minimum_cell_count": 2,
            "maximum_cell_count": 45,
            "observation_mass": 1037.0,
            "treated_observation_mass": 507.0,
            "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": 0.00016054091975092888,
          "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)": 0.1550319334264455,
        "SE": 0.14745843572711265,
        "Aggregation": "Coefficient",
        "Event study": "No",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Dynamic TWFE",
        "Estimate (SDs)": 0.15291623793325626,
        "SE": 0.1567412542713766,
        "Aggregation": "observations",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "BJS / did2s",
        "Estimate (SDs)": 0.1456500846980343,
        "SE": 0.13815811585661297,
        "Aggregation": "observations",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Sun\u2013Abraham",
        "Estimate (SDs)": 0.06975588945735992,
        "SE": 0.16618754452453124,
        "Aggregation": "observations",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID",
        "Estimate (SDs)": 0.12895312045671717,
        "SE": 0.13995198565441774,
        "Aggregation": "Equal post-event times",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID (treated cells)",
        "Estimate (SDs)": 0.13210224063008136,
        "SE": 0.13688342172450982,
        "Aggregation": "Treated cells",
        "Event study": "Same CS-DID path",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "SDID",
        "Estimate (SDs)": 0.04064217427610662,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Matrix completion",
        "Estimate (SDs)": 0.10693388144283181,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Horizontal ridge",
        "Estimate (SDs)": -0.12366149904646326,
        "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)": 0.1550319334264455,
        "SE": 0.14745843572711265,
        "Aggregation": "Coefficient",
        "Event study": "No",
        "Status": "estimated",
        "Note": "",
        "lower": -0.154766744212112,
        "upper": 0.464830611065003,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Dynamic TWFE",
        "Estimate (SDs)": 0.15291623793325626,
        "SE": 0.1567412542713766,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.17638491778050364,
        "upper": 0.48221739364701616,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "BJS / did2s",
        "Estimate (SDs)": 0.1456500846980343,
        "SE": 0.13815811585661297,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.14460934594329877,
        "upper": 0.4359095153393674,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Sun\u2013Abraham",
        "Estimate (SDs)": 0.06975588945735992,
        "SE": 0.16618754452453124,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.27939118564776666,
        "upper": 0.41890296456248644,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID (equal event-time)",
        "Estimate (SDs)": 0.12895312045671717,
        "SE": 0.13995198565441774,
        "Aggregation": "Equal post-event times",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.14534773099080792,
        "upper": 0.4032539719042423,
        "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)": 0.13210224063008136,
        "SE": 0.13688342172450982,
        "Aggregation": "Treated cells",
        "Event study": "Same CS-DID path",
        "Status": "estimated",
        "Note": "",
        "lower": -0.1361843360305655,
        "upper": 0.4003888172907282,
        "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)": 0.04064217427610662,
        "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)": 0.10693388144283181,
        "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)": -0.12366149904646326,
        "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": 1791588650.1482198,
  "scalar_ranges": [
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Static TWFE",
      "Estimate (SDs)": 0.1550319334264455,
      "SE": 0.14745843572711265,
      "Aggregation": "Coefficient",
      "Event study": "No",
      "Status": "estimated",
      "Note": "",
      "lower": -0.154766744212112,
      "upper": 0.464830611065003,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Dynamic TWFE",
      "Estimate (SDs)": 0.15291623793325626,
      "SE": 0.1567412542713766,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.17638491778050364,
      "upper": 0.48221739364701616,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "BJS / did2s",
      "Estimate (SDs)": 0.1456500846980343,
      "SE": 0.13815811585661297,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.14460934594329877,
      "upper": 0.4359095153393674,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Sun\u2013Abraham",
      "Estimate (SDs)": 0.06975588945735992,
      "SE": 0.16618754452453124,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.27939118564776666,
      "upper": 0.41890296456248644,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "CS-DID (equal event-time)",
      "Estimate (SDs)": 0.12895312045671717,
      "SE": 0.13995198565441774,
      "Aggregation": "Equal post-event times",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.14534773099080792,
      "upper": 0.4032539719042423,
      "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)": 0.13210224063008136,
      "SE": 0.13688342172450982,
      "Aggregation": "Treated cells",
      "Event study": "Same CS-DID path",
      "Status": "estimated",
      "Note": "",
      "lower": -0.1361843360305655,
      "upper": 0.4003888172907282,
      "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)": 0.04064217427610662,
      "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)": 0.10693388144283181,
      "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)": -0.12366149904646326,
      "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"
    }
  ]
}
