{
  "study_id": 1,
  "specification_id": "S01-P033",
  "source_specification_id": "CI-T3-C02-ORIG",
  "role": "active_comparison",
  "published_source_location": "Table 3, panel C, row 2 (\"People can influence elections\"), accepted-manuscript p. 46",
  "outcome_label": "People can 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-P033.json",
  "input_bytes": 192518,
  "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 can influence elections [Table 3 original scale]",
        "d": "New Curriculum indicator (newcurr)"
      },
      "allow_repeated_cells": true,
      "time_fe": null,
      "unit_fe": null,
      "frequency_weights": false,
      "source_sd": null,
      "latest_cohort_control": true,
      "slug": "s01-p033",
      "study_id": 1,
      "study": "Curriculum and Ideology",
      "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951",
      "description": "People can influence elections [Table 3 original scale]",
      "source_specification_id": "CI-T3-C02-ORIG",
      "specification_id": "S01-P033",
      "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-C02-ORIG.csv",
      "output_dir": "analyses/full-archive/results/S01-P033"
    },
    "source": {
      "file": "CI-T3-C02-ORIG.csv",
      "bytes": 192518,
      "sha256": "ef377238ec3526c2a2864632d5c8d2bdfcc1e7fb64f27c3d1a279245aa4a3fc3"
    },
    "versions": {
      "pyfixest": "0.60.0",
      "polars": "2.0.0",
      "duckreg": "0.4.1",
      "numpy": "2.5.3",
      "pandas": "3.0.6"
    },
    "specifications": {
      "y__d": {
        "sample": {
          "outcome": "y",
          "treatment": "d",
          "source_rows": 1753,
          "source_sd": 0.9724100068868827,
          "rows": 1100,
          "units": 19,
          "clusters": 19,
          "treated_units": 13,
          "never_treated_units": 6,
          "treated_cohorts": 3,
          "latest_cohort_control_index": null,
          "unique_unit_period_cells": 76,
          "unsupported_prediction_rows_removed": 0,
          "initially_treated_units_removed": 10,
          "post_adoption_untreated_rows_removed": 0,
          "units_without_minus_one_removed": 0,
          "additional_rows_removed": 0
        },
        "estimates": [
          {
            "method": "Static TWFE",
            "estimate": 0.11777012359857324,
            "se": 0.09034156779109655,
            "pvalue": 0.20879425474982888,
            "lower": -0.0720304673236714,
            "upper": 0.30757071452081786
          },
          {
            "method": "Dynamic TWFE",
            "estimate": 0.03610469807654346,
            "se": 0.14508896150316652,
            "pvalue": 0.8062976889947879,
            "lower": -0.26871589894114256,
            "upper": 0.34092529509422953
          },
          {
            "method": "BJS / did2s",
            "estimate": 0.047401197777398346,
            "se": 0.11658367762303824,
            "pvalue": 0.6891061960548203,
            "lower": -0.19753202007319864,
            "upper": 0.29233441562799534
          },
          {
            "method": "Sun\u2013Abraham",
            "estimate": 0.04003771997148135,
            "se": 0.15165050618757056,
            "pvalue": 0.7947688158846853,
            "lower": -0.27856817089169555,
            "upper": 0.3586436108346583
          }
        ],
        "event_studies": {
          "Dynamic TWFE": [
            {
              "event_time": -3,
              "estimate": 0.0416337559082579,
              "se": 0.24536933711396586,
              "pvalue": 0.8671558661661922,
              "lower": -0.47386809243380634,
              "upper": 0.5571356042503222
            },
            {
              "event_time": -2,
              "estimate": -0.1379806242884498,
              "se": 0.18534132957999885,
              "pvalue": 0.46620265202649175,
              "lower": -0.5273683085706476,
              "upper": 0.2514070599937481
            },
            {
              "event_time": 0,
              "estimate": 0.059770124930735274,
              "se": 0.09837403496127045,
              "pvalue": 0.5510549069977042,
              "lower": -0.14690605330684026,
              "upper": 0.2664463031683108
            },
            {
              "event_time": 1,
              "estimate": 0.07943478246047418,
              "se": 0.17944214602221092,
              "pvalue": 0.6632736010918237,
              "lower": -0.2975591770657395,
              "upper": 0.45642874198668787
            },
            {
              "event_time": 2,
              "estimate": -0.10753236280282392,
              "se": 0.25505908367577357,
              "pvalue": 0.6783105601298925,
              "lower": -0.6433916132609399,
              "upper": 0.428326887655292
            }
          ],
          "BJS / did2s": [
            {
              "event_time": -3,
              "estimate": 0.08489299711524888,
              "se": 0.08624129661587018,
              "pvalue": 0.33798307716190873,
              "lower": -0.09629324372399765,
              "upper": 0.2660792379544954
            },
            {
              "event_time": -2,
              "estimate": -0.08589274239232754,
              "se": 0.06494763394383221,
              "pvalue": 0.20256268893233323,
              "lower": -0.2223426580064316,
              "upper": 0.05055717322177654
            },
            {
              "event_time": -1,
              "estimate": 0.029911349356091344,
              "se": 0.029381613633019037,
              "pvalue": 0.3221530256322422,
              "lower": -0.031817130303364916,
              "upper": 0.0916398290155476
            },
            {
              "event_time": 0,
              "estimate": 0.08896017882866433,
              "se": 0.09850011858101236,
              "pvalue": 0.37837549151647915,
              "lower": -0.11798089126454037,
              "upper": 0.29590124892186903
            },
            {
              "event_time": 1,
              "estimate": 0.060845210651878055,
              "se": 0.14315520545817323,
              "pvalue": 0.67585265328344,
              "lower": -0.23991271567043224,
              "upper": 0.36160313697418833
            },
            {
              "event_time": 2,
              "estimate": -0.08460672800160611,
              "se": 0.19506629734637218,
              "pvalue": 0.6696359432058804,
              "lower": -0.4944258114048114,
              "upper": 0.32521235540159915
            }
          ],
          "Sun\u2013Abraham": [
            {
              "event_time": -3,
              "estimate": 0.02318205668158626,
              "se": 0.2873633670348931,
              "pvalue": 0.9365933368261717,
              "lower": -0.5805459746798958,
              "upper": 0.6269100880430682
            },
            {
              "event_time": -2,
              "estimate": -0.16911299769839105,
              "se": 0.20467432407016994,
              "pvalue": 0.4194778125905627,
              "lower": -0.5991177962088479,
              "upper": 0.2608918008120658
            },
            {
              "event_time": 0,
              "estimate": 0.054762407325343786,
              "se": 0.09659978881444474,
              "pvalue": 0.5777838655247347,
              "lower": -0.14818621807755286,
              "upper": 0.2577110327282404
            },
            {
              "event_time": 1,
              "estimate": 0.06926930263731372,
              "se": 0.20407865919307389,
              "pvalue": 0.738218067728585,
              "lower": -0.3594840504042546,
              "upper": 0.49802265567888204
            },
            {
              "event_time": 2,
              "estimate": -0.05369305383695649,
              "se": 0.24308374077567274,
              "pvalue": 0.827669727270216,
              "lower": -0.5643930424568064,
              "upper": 0.4570069347828935
            }
          ]
        },
        "target": {
          "event_times": [
            0.0,
            1.0,
            2.0
          ],
          "weights": [
            0.466789667896679,
            0.3505535055350554,
            0.18265682656826568
          ],
          "weighting": "observations"
        },
        "checks": {
          "did2s_vs_direct_imputation_max_post_difference": 4.163336342344337e-17,
          "package_aggregate_vs_estimable_cell_weights": 6.938893903907228e-18,
          "saturated_vs_deviations_relative_rss_difference": 4.340125156646512e-16
        },
        "inference": {
          "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
          "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
        },
        "f_test": {
          "F": 0.020829483257573812,
          "df_num": 1,
          "df_den": 1069,
          "pvalue": 0.8852716493371069,
          "log10_pvalue": -0.05292344375914691,
          "inference": "Homoskedastic nested-model F",
          "observations": 1100,
          "design_columns": 9,
          "restricted_design_columns": 8,
          "fixed_effect_rank": 22,
          "covariance_rank": 1,
          "rss_unrestricted": 1047.7747402976597,
          "rss_restricted": 1047.7951562063695,
          "test_horizon": null,
          "reference_cohort": 2,
          "pyfixest": "0.27.0",
          "formulaic": "1.0.2",
          "design_head": {
            "index": [
              0,
              1,
              2,
              3,
              4
            ],
            "columns": [
              "C(rel_time, contr.treatment(base=-1.0))[T.-3.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.-2.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.0.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.1.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.2.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.-2.0]:cohort_dummy_3"
            ],
            "data": [
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ],
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ],
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ],
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ],
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ]
            ]
          },
          "formula": "y~i(rel_time,ref=-1.0)+i(rel_time,cohort_dummy_3,ref=-1.0)+i(rel_time,cohort_dummy_4,ref=-1.0)|unit_fe+time_fe",
          "restriction_names": [
            "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_3"
          ],
          "deviations": [
            {
              "event_time": -2.0,
              "cohort": 3,
              "estimate": 0.054735329384667186
            },
            {
              "event_time": 0.0,
              "cohort": 3,
              "estimate": -0.23386418457686795
            },
            {
              "event_time": 1.0,
              "cohort": 3,
              "estimate": -0.053775243472191606
            },
            {
              "event_time": 0.0,
              "cohort": 4,
              "estimate": -0.08909233147945024
            }
          ]
        }
      }
    },
    "code_sha256": {
      "replication_engine.py": "aa5b4502ce913299533b0c0035000b0770df1c69af7de25b04aa0c8532a3ddca",
      "reference_f_test.py": "9cf8f31eeda89784ac1750ea22c35401ae46e24e06279acf938d2d103b78cccf",
      "sparse_did2s.py": "75169d7fbba6e1bad163e564ac9b5b1262a04033eda925dc379dc3eef64c59fa",
      "frequency.py": "8f922ae4be2b63ad9b89515d8e665cda4e11a354258b54ef3b820648243642eb"
    }
  },
  "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 can influence elections [Table 3 original scale]",
        "d": "New Curriculum indicator (newcurr)"
      },
      "allow_repeated_cells": true,
      "time_fe": null,
      "unit_fe": null,
      "frequency_weights": false,
      "source_sd": null,
      "require_never_control_periods": false,
      "latest_cohort_control": true,
      "slug": "s01-p033",
      "study_id": 1,
      "study": "Curriculum and Ideology",
      "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951",
      "description": "People can influence elections [Table 3 original scale]",
      "source_specification_id": "CI-T3-C02-ORIG",
      "specification_id": "S01-P033",
      "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-C02-ORIG.csv",
      "output_dir": "analyses/archive-expanded/fits/S01-P033"
    },
    "options": {
      "output_dir": "analyses/archive-expanded/fits/S01-P033",
      "regression_results": "analyses/archive-expanded/baselines/S01-P033.json",
      "display_window": [
        -10,
        10
      ],
      "timeout_seconds": 3600
    },
    "source": {
      "file": "CI-T3-C02-ORIG.csv",
      "bytes": 192518,
      "sha256": "ef377238ec3526c2a2864632d5c8d2bdfcc1e7fb64f27c3d1a279245aa4a3fc3"
    },
    "regressions": {
      "y__d": {
        "sample": {
          "outcome": "y",
          "treatment": "d",
          "source_rows": 1753,
          "source_sd": 0.9724100068868827,
          "rows": 1100,
          "units": 19,
          "clusters": 19,
          "treated_units": 13,
          "never_treated_units": 6,
          "treated_cohorts": 3,
          "latest_cohort_control_index": null,
          "unique_unit_period_cells": 76,
          "unsupported_prediction_rows_removed": 0,
          "initially_treated_units_removed": 10,
          "post_adoption_untreated_rows_removed": 0,
          "units_without_minus_one_removed": 0,
          "additional_rows_removed": 0,
          "rows_without_never_control_time_fe_removed": 0
        },
        "estimates": [
          {
            "method": "Static TWFE",
            "estimate": 0.11777012359857324,
            "se": 0.09034156779109655,
            "pvalue": 0.20879425474982888,
            "lower": -0.0720304673236714,
            "upper": 0.30757071452081786
          },
          {
            "method": "Dynamic TWFE",
            "estimate": 0.03610469807654346,
            "se": 0.14508896150316652,
            "pvalue": 0.8062976889947879,
            "lower": -0.26871589894114256,
            "upper": 0.34092529509422953
          },
          {
            "method": "BJS / did2s",
            "estimate": 0.047401197777398346,
            "se": 0.11658367762303824,
            "pvalue": 0.6891061960548203,
            "lower": -0.19753202007319864,
            "upper": 0.29233441562799534
          },
          {
            "method": "Sun\u2013Abraham",
            "estimate": 0.04003771997148135,
            "se": 0.15165050618757056,
            "pvalue": 0.7947688158846853,
            "lower": -0.27856817089169555,
            "upper": 0.3586436108346583
          }
        ],
        "event_studies": {
          "Dynamic TWFE": [
            {
              "event_time": -3,
              "estimate": 0.0416337559082579,
              "se": 0.24536933711396586,
              "pvalue": 0.8671558661661922,
              "lower": -0.47386809243380634,
              "upper": 0.5571356042503222
            },
            {
              "event_time": -2,
              "estimate": -0.1379806242884498,
              "se": 0.18534132957999885,
              "pvalue": 0.46620265202649175,
              "lower": -0.5273683085706476,
              "upper": 0.2514070599937481
            },
            {
              "event_time": 0,
              "estimate": 0.059770124930735274,
              "se": 0.09837403496127045,
              "pvalue": 0.5510549069977042,
              "lower": -0.14690605330684026,
              "upper": 0.2664463031683108
            },
            {
              "event_time": 1,
              "estimate": 0.07943478246047418,
              "se": 0.17944214602221092,
              "pvalue": 0.6632736010918237,
              "lower": -0.2975591770657395,
              "upper": 0.45642874198668787
            },
            {
              "event_time": 2,
              "estimate": -0.10753236280282392,
              "se": 0.25505908367577357,
              "pvalue": 0.6783105601298925,
              "lower": -0.6433916132609399,
              "upper": 0.428326887655292
            }
          ],
          "BJS / did2s": [
            {
              "event_time": -3,
              "estimate": 0.08489299711524888,
              "se": 0.08624129661587018,
              "pvalue": 0.33798307716190873,
              "lower": -0.09629324372399765,
              "upper": 0.2660792379544954
            },
            {
              "event_time": -2,
              "estimate": -0.08589274239232754,
              "se": 0.06494763394383221,
              "pvalue": 0.20256268893233323,
              "lower": -0.2223426580064316,
              "upper": 0.05055717322177654
            },
            {
              "event_time": -1,
              "estimate": 0.029911349356091344,
              "se": 0.029381613633019037,
              "pvalue": 0.3221530256322422,
              "lower": -0.031817130303364916,
              "upper": 0.0916398290155476
            },
            {
              "event_time": 0,
              "estimate": 0.08896017882866433,
              "se": 0.09850011858101236,
              "pvalue": 0.37837549151647915,
              "lower": -0.11798089126454037,
              "upper": 0.29590124892186903
            },
            {
              "event_time": 1,
              "estimate": 0.060845210651878055,
              "se": 0.14315520545817323,
              "pvalue": 0.67585265328344,
              "lower": -0.23991271567043224,
              "upper": 0.36160313697418833
            },
            {
              "event_time": 2,
              "estimate": -0.08460672800160611,
              "se": 0.19506629734637218,
              "pvalue": 0.6696359432058804,
              "lower": -0.4944258114048114,
              "upper": 0.32521235540159915
            }
          ],
          "Sun\u2013Abraham": [
            {
              "event_time": -3,
              "estimate": 0.02318205668158626,
              "se": 0.2873633670348931,
              "pvalue": 0.9365933368261717,
              "lower": -0.5805459746798958,
              "upper": 0.6269100880430682
            },
            {
              "event_time": -2,
              "estimate": -0.16911299769839105,
              "se": 0.20467432407016994,
              "pvalue": 0.4194778125905627,
              "lower": -0.5991177962088479,
              "upper": 0.2608918008120658
            },
            {
              "event_time": 0,
              "estimate": 0.054762407325343786,
              "se": 0.09659978881444474,
              "pvalue": 0.5777838655247347,
              "lower": -0.14818621807755286,
              "upper": 0.2577110327282404
            },
            {
              "event_time": 1,
              "estimate": 0.06926930263731372,
              "se": 0.20407865919307389,
              "pvalue": 0.738218067728585,
              "lower": -0.3594840504042546,
              "upper": 0.49802265567888204
            },
            {
              "event_time": 2,
              "estimate": -0.05369305383695649,
              "se": 0.24308374077567274,
              "pvalue": 0.827669727270216,
              "lower": -0.5643930424568064,
              "upper": 0.4570069347828935
            }
          ]
        },
        "target": {
          "event_times": [
            0.0,
            1.0,
            2.0
          ],
          "weights": [
            0.466789667896679,
            0.3505535055350554,
            0.18265682656826568
          ],
          "weighting": "observations"
        },
        "checks": {
          "did2s_vs_direct_imputation_max_post_difference": 4.163336342344337e-17,
          "package_aggregate_vs_estimable_cell_weights": 6.938893903907228e-18,
          "saturated_vs_deviations_relative_rss_difference": 4.340125156646512e-16
        },
        "inference": {
          "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
          "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
        },
        "f_test": {
          "F": 0.020829483257573812,
          "df_num": 1,
          "df_den": 1069,
          "pvalue": 0.8852716493371069,
          "log10_pvalue": -0.05292344375914691,
          "inference": "Homoskedastic nested-model F",
          "observations": 1100,
          "design_columns": 9,
          "restricted_design_columns": 8,
          "fixed_effect_rank": 22,
          "covariance_rank": 1,
          "rss_unrestricted": 1047.7747402976597,
          "rss_restricted": 1047.7951562063695,
          "test_horizon": null,
          "reference_cohort": 2,
          "pyfixest": "0.27.0",
          "formulaic": "1.0.2",
          "design_head": {
            "index": [
              0,
              1,
              2,
              3,
              4
            ],
            "columns": [
              "C(rel_time, contr.treatment(base=-1.0))[T.-3.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.-2.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.0.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.1.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.2.0]",
              "C(rel_time, contr.treatment(base=-1.0))[T.-2.0]:cohort_dummy_3"
            ],
            "data": [
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ],
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ],
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ],
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ],
              [
                -0.14515251907947718,
                -0.16432354894181211,
                -0.021091834608581193,
                -0.0946672861240358,
                -0.151375494876839,
                -0.21595990830817272
              ]
            ]
          },
          "formula": "y~i(rel_time,ref=-1.0)+i(rel_time,cohort_dummy_3,ref=-1.0)+i(rel_time,cohort_dummy_4,ref=-1.0)|unit_fe+time_fe",
          "restriction_names": [
            "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_3"
          ],
          "deviations": [
            {
              "event_time": -2.0,
              "cohort": 3,
              "estimate": 0.054735329384667186
            },
            {
              "event_time": 0.0,
              "cohort": 3,
              "estimate": -0.23386418457686795
            },
            {
              "event_time": 1.0,
              "cohort": 3,
              "estimate": -0.053775243472191606
            },
            {
              "event_time": 0.0,
              "cohort": 4,
              "estimate": -0.08909233147945024
            }
          ]
        }
      }
    },
    "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": 0.014400170594631454,
                "se": 0.1519248489419267,
                "lower": -0.28336706168823306,
                "upper": 0.31216740287749595
              },
              {
                "typec": "simple",
                "aggregation": "Native CS-DID simple",
                "matches_treated_unit_year_target": false,
                "estimate": 0.02067748671463072,
                "se": 0.1336576028322849,
                "lower": -0.24128660109660638,
                "upper": 0.2826415745258678
              },
              {
                "typec": "group",
                "aggregation": "Native CS-DID group",
                "matches_treated_unit_year_target": false,
                "estimate": 0.010578536511528848,
                "se": 0.12216475650308785,
                "lower": -0.22885998641462868,
                "upper": 0.2500170594376864
              },
              {
                "typec": "treated_cells",
                "aggregation": "Observed treated observations, configured weights",
                "matches_treated_unit_year_target": true,
                "weight_sum": 542.0,
                "post_cells": 6,
                "estimate": 0.015402015765743316,
                "se": 0.13170498541603112,
                "lower": -0.24273501223405072,
                "upper": 0.27353904376553734
              }
            ],
            "same_group_time_effects": true,
            "additional_covariates": []
          },
          "estimate": 0.014400170594631454,
          "se": 0.1519248489419267,
          "lower": -0.28336706168823306,
          "upper": 0.31216740287749595,
          "event_study": [
            {
              "event_time": -3,
              "estimate": -0.03356247059853534,
              "se": 0.2885272639962464,
              "lower": -0.5990655165890585,
              "upper": 0.5319405753919878,
              "relative_to_minus_one": -0.03356247059853534,
              "n": 0.0
            },
            {
              "event_time": -2,
              "estimate": -0.2740296654102783,
              "se": 0.18591306948330494,
              "lower": -0.6384125858528485,
              "upper": 0.09035325503229197,
              "relative_to_minus_one": -0.2740296654102783,
              "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": 0.015687949031588523,
              "se": 0.11336974457836282,
              "lower": -0.20651266727850767,
              "upper": 0.2378885653416847,
              "relative_to_minus_one": 0.015687949031588523,
              "n": 253.0
            },
            {
              "event_time": 1,
              "estimate": 0.055645006132966066,
              "se": 0.16554301710250768,
              "lower": -0.2688133452800472,
              "upper": 0.38010335754597935,
              "relative_to_minus_one": 0.055645006132966066,
              "n": 190.0
            },
            {
              "event_time": 2,
              "estimate": -0.028132443380660233,
              "se": 0.252690299872852,
              "lower": -0.5233963303740764,
              "upper": 0.46713144361275594,
              "relative_to_minus_one": -0.028132443380660233,
              "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": 0.14925938658274138,
              "se": 0.1484482800808977,
              "event_time": 0,
              "mass": 96.0
            },
            {
              "group": 2,
              "year": 3,
              "att": 0.1411162715921728,
              "se": 0.16966287368521982,
              "event_time": 1,
              "mass": 116.0
            },
            {
              "group": 2,
              "year": 4,
              "att": -0.028132443380660233,
              "se": 0.252690299872852,
              "event_time": 2,
              "mass": 99.0
            },
            {
              "group": 3,
              "year": 1,
              "att": -0.3393496070058132,
              "se": 0.29691017554543725,
              "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": -0.20640598060144638,
              "se": 0.16805818024830557,
              "event_time": 0,
              "mass": 92.0
            },
            {
              "group": 3,
              "year": 4,
              "att": -0.06442881316266688,
              "se": 0.2318893784351578,
              "event_time": 1,
              "mass": 74.0
            },
            {
              "group": 4,
              "year": 1,
              "att": -0.03356247059853534,
              "se": 0.2885272639962464,
              "event_time": -3,
              "mass": 0.0
            },
            {
              "group": 4,
              "year": 2,
              "att": -0.18149308148327054,
              "se": 0.19832707261710522,
              "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": 0.06448766480697599,
              "se": 0.08502849866193779,
              "event_time": 0,
              "mass": 65.0
            }
          ],
          "treated_cell_att": 0.015402015765743316,
          "treated_cell_se": 0.13170498541603112,
          "checks": {
            "input_rows": 1100,
            "retained_rows": 1100,
            "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": 0.04529195884242654,
          "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": 0.128108467120289,
          "event_study": [
            {
              "event_time": -3,
              "estimate": -0.03515859936225363,
              "raw_gap": -0.10322658703166887,
              "n": 48,
              "n_cells": 4,
              "weight_sum": 48.0,
              "relative_to_minus_one": -0.08389207070190768
            },
            {
              "event_time": -2,
              "estimate": -0.06860399668771004,
              "raw_gap": -0.08602985261151896,
              "n": 115,
              "n_cells": 8,
              "weight_sum": 115.0,
              "relative_to_minus_one": -0.1173374680273641
            },
            {
              "event_time": -1,
              "estimate": 0.048733471339654055,
              "raw_gap": 0.034559266471017855,
              "n": 194,
              "n_cells": 13,
              "weight_sum": 194.0,
              "relative_to_minus_one": 0.0
            },
            {
              "event_time": 0,
              "estimate": 0.17815873750738906,
              "raw_gap": 0.1649293556886305,
              "n": 253,
              "n_cells": 13,
              "weight_sum": 253.0,
              "relative_to_minus_one": 0.129425266167735
            },
            {
              "event_time": 1,
              "estimate": 0.13403204842398203,
              "raw_gap": 0.13859306297084079,
              "n": 190,
              "n_cells": 9,
              "weight_sum": 190.0,
              "relative_to_minus_one": 0.08529857708432798
            },
            {
              "event_time": 2,
              "estimate": -0.01116626879524627,
              "raw_gap": -0.011166268795246001,
              "n": 99,
              "n_cells": 5,
              "weight_sum": 99.0,
              "relative_to_minus_one": -0.05989974013490033
            }
          ],
          "package_event_study": {
            "event_time": [
              -3.0,
              -2.0,
              -1.0,
              0.0,
              1.0,
              2.0
            ],
            "estimate": [
              0.05745666272244021,
              -0.08334324947850252,
              0.033609180379866106,
              0.17062309222865332,
              0.15358097155716782,
              -0.013061843080364798
            ],
            "n": [
              4.0,
              8.0,
              13.0,
              13.0,
              9.0,
              5.0
            ]
          },
          "sdid_pre_gap_correction": [
            {
              "cohort": 1,
              "pre_gap": 2.6645352591003756e-16
            },
            {
              "cohort": 2,
              "pre_gap": 0.011710713025717995
            },
            {
              "cohort": 3,
              "pre_gap": -0.06806798766941524
            }
          ],
          "diagnostics": {
            "converged": true,
            "pre_rmse": 0.10871687692953304,
            "zeta_omega": [
              0.0,
              1.0428066911245586,
              0.806380636814516
            ],
            "zeta_lambda": [
              0.0,
              6.20056568328885e-07,
              5.701972165090707e-07
            ]
          },
          "checks": {
            "scalar_vs_treated_cell_average": 0.0,
            "native_scalar_vs_unweighted_matrix_average": 0.0
          },
          "native_matrix_att": 0.13754096200211455,
          "matrix_preparation": {
            "source_rows": 1100,
            "matrix_shape": [
              19,
              4
            ],
            "observed_cells": 76,
            "missing_cells": 0,
            "repeated_cells": 76,
            "minimum_cell_count": 2,
            "maximum_cell_count": 47,
            "observation_mass": 1100.0,
            "treated_observation_mass": 542.0,
            "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": 0.0003247498534619808,
          "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": 0.10602643455642946,
          "event_study": [
            {
              "event_time": -3,
              "estimate": -0.0001557133440566183,
              "raw_gap": -0.0001557133440566183,
              "n": 48,
              "n_cells": 4,
              "weight_sum": 48.0,
              "relative_to_minus_one": -0.016979771378476307
            },
            {
              "event_time": -2,
              "estimate": -0.03575988610819411,
              "raw_gap": -0.03575988610819411,
              "n": 115,
              "n_cells": 8,
              "weight_sum": 115.0,
              "relative_to_minus_one": -0.0525839441426138
            },
            {
              "event_time": -1,
              "estimate": 0.01682405803441969,
              "raw_gap": 0.01682405803441969,
              "n": 194,
              "n_cells": 13,
              "weight_sum": 194.0,
              "relative_to_minus_one": 0.0
            },
            {
              "event_time": 0,
              "estimate": 0.13066527374776385,
              "raw_gap": 0.13066527374776385,
              "n": 253,
              "n_cells": 13,
              "weight_sum": 253.0,
              "relative_to_minus_one": 0.11384121571334416
            },
            {
              "event_time": 1,
              "estimate": 0.1427853519943427,
              "raw_gap": 0.1427853519943427,
              "n": 190,
              "n_cells": 9,
              "weight_sum": 190.0,
              "relative_to_minus_one": 0.125961293959923
            },
            {
              "event_time": 2,
              "estimate": -0.02748690512651117,
              "raw_gap": -0.02748690512651117,
              "n": 99,
              "n_cells": 5,
              "weight_sum": 99.0,
              "relative_to_minus_one": -0.04431096316093086
            }
          ],
          "package_event_study": {
            "event_time": [
              -3.0,
              -2.0,
              -1.0,
              0.0,
              1.0,
              2.0
            ],
            "estimate": [
              0.03357380968624657,
              -0.031817418360666594,
              0.009249627049832667,
              0.14700962926288227,
              0.16260902070623104,
              -0.039028792611825035
            ],
            "n": [
              4.0,
              8.0,
              13.0,
              13.0,
              9.0,
              5.0
            ]
          },
          "sdid_pre_gap_correction": [],
          "diagnostics": {
            "converged": true,
            "iterations": 42,
            "termination_reason": "Relative objective tolerance reached",
            "objective": 0.03556024171812338,
            "lambda_l": 0.01418517722649033,
            "singular_values": [
              1.0537858081316567,
              0.9405733972518271,
              0.0,
              0.0
            ],
            "history_objective": [
              0.036276531892266775,
              0.035847440175833,
              0.035666244011327786,
              0.035595548128652545,
              0.0355707111314827,
              0.035562990556091814,
              0.035561157324778415,
              0.03556067027522168,
              0.035560482967399804,
              0.03556038726058373,
              0.0355603315092338,
              0.03556029751806082,
              0.0355602764900396,
              0.035560263417099,
              0.03556025527272677,
              0.03556025019246075,
              0.03556024702039296,
              0.03556024503805789,
              0.03556024379823293,
              0.035560243022222014,
              0.03556024253617662,
              0.03556024223155119,
              0.035560242040514896,
              0.035560241920645816,
              0.035560241845392984,
              0.0355602417981273,
              0.035560241768426884,
              0.03556024174975634,
              0.035560241738014975,
              0.03556024173062859,
              0.035560241725980324,
              0.0355602417230543,
              0.035560241721211874,
              0.035560241720051455,
              0.03556024171932039,
              0.035560241718859756,
              0.035560241718569405,
              0.035560241718386384,
              0.035560241718270984,
              0.03556024171819823,
              0.03556024171815233,
              0.03556024171812338
            ],
            "history_rmse": [
              0.08480749349928833,
              0.08534643663949648,
              0.08572670462189631,
              0.08589635689891903,
              0.08596079538758661,
              0.08573805947806878,
              0.08546251978838582,
              0.08534779913537642,
              0.08529940425175135,
              0.08527888001813541,
              0.08527015947162962,
              0.08526645358709564,
              0.08526488013168947,
              0.08526421326136173,
              0.08526393139961701,
              0.08526381271998715,
              0.08526376298855334,
              0.08526374225436315,
              0.08526373363411385,
              0.08526373002798157,
              0.08526372847256113,
              0.08526372774476139,
              0.08526372734814143,
              0.08526372708609153,
              0.08526372688343921,
              0.08526372671275521,
              0.08526372656447644,
              0.08526372643516503,
              0.08526372632313643,
              0.08526372622699847,
              0.08526372614527086,
              0.08526372607637445,
              0.08526372601870898,
              0.08526372597073374,
              0.08526372593102051,
              0.08526372589828654,
              0.08526372587140113,
              0.08526372584938768,
              0.08526372583141037,
              0.08526372581676274,
              0.08526372580485163,
              0.08526372579518347
            ]
          },
          "checks": {
            "scalar_vs_treated_cell_average": 1.3877787807814457e-17,
            "native_scalar_vs_unweighted_matrix_average": 0.0
          },
          "native_matrix_att": 0.11775786680423792,
          "matrix_preparation": {
            "source_rows": 1100,
            "matrix_shape": [
              19,
              4
            ],
            "observed_cells": 76,
            "missing_cells": 0,
            "repeated_cells": 76,
            "minimum_cell_count": 2,
            "maximum_cell_count": 47,
            "observation_mass": 1100.0,
            "treated_observation_mass": 542.0,
            "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": 0.00026808399707078934,
          "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": 0.24243269336868634,
          "event_study": [
            {
              "event_time": -3,
              "estimate": -0.12802095061817065,
              "raw_gap": -0.12802095061817065,
              "n": 48,
              "n_cells": 4,
              "weight_sum": 48.0,
              "relative_to_minus_one": -0.16525259287702954
            },
            {
              "event_time": -2,
              "estimate": -0.06244153960165097,
              "raw_gap": -0.06244153960165097,
              "n": 115,
              "n_cells": 8,
              "weight_sum": 115.0,
              "relative_to_minus_one": -0.09967318186050986
            },
            {
              "event_time": -1,
              "estimate": 0.037231642258858895,
              "raw_gap": 0.037231642258858895,
              "n": 194,
              "n_cells": 13,
              "weight_sum": 194.0,
              "relative_to_minus_one": 0.0
            },
            {
              "event_time": 0,
              "estimate": 0.22875733520116195,
              "raw_gap": 0.22875733520116195,
              "n": 253,
              "n_cells": 13,
              "weight_sum": 253.0,
              "relative_to_minus_one": 0.19152569294230307
            },
            {
              "event_time": 1,
              "estimate": 0.30502464282420516,
              "raw_gap": 0.30502464282420516,
              "n": 190,
              "n_cells": 9,
              "weight_sum": 190.0,
              "relative_to_minus_one": 0.2677930005653463
            },
            {
              "event_time": 2,
              "estimate": 0.15725486730641455,
              "raw_gap": 0.15725486730641455,
              "n": 99,
              "n_cells": 5,
              "weight_sum": 99.0,
              "relative_to_minus_one": 0.12002322504755567
            }
          ],
          "package_event_study": {
            "event_time": [
              -3.0,
              -2.0,
              -1.0,
              0.0,
              1.0,
              2.0
            ],
            "estimate": [
              0.03266229913593843,
              -0.07695248634245339,
              0.037305438015107356,
              0.22972474301915058,
              0.3249669704717989,
              0.15535929302129575
            ],
            "n": [
              4.0,
              8.0,
              13.0,
              13.0,
              9.0,
              5.0
            ]
          },
          "sdid_pre_gap_correction": [],
          "diagnostics": {
            "pre_rmse": 0.06633417850661394,
            "penalty": 1.0
          },
          "checks": {
            "scalar_vs_treated_cell_average": 0.0,
            "native_scalar_vs_unweighted_matrix_average": 8.326672684688674e-17
          },
          "native_matrix_att": 0.24770077254080108,
          "matrix_preparation": {
            "source_rows": 1100,
            "matrix_shape": [
              19,
              4
            ],
            "observed_cells": 76,
            "missing_cells": 0,
            "repeated_cells": 76,
            "minimum_cell_count": 2,
            "maximum_cell_count": 47,
            "observation_mass": 1100.0,
            "treated_observation_mass": 542.0,
            "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": 0.000157834030687809,
          "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)": 0.11777012359857324,
        "SE": 0.09034156779109655,
        "Aggregation": "Coefficient",
        "Event study": "No",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Dynamic TWFE",
        "Estimate (SDs)": 0.03610469807654346,
        "SE": 0.14508896150316652,
        "Aggregation": "observations",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "BJS / did2s",
        "Estimate (SDs)": 0.047401197777398346,
        "SE": 0.11658367762303824,
        "Aggregation": "observations",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Sun\u2013Abraham",
        "Estimate (SDs)": 0.04003771997148135,
        "SE": 0.15165050618757056,
        "Aggregation": "observations",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID",
        "Estimate (SDs)": 0.014400170594631454,
        "SE": 0.1519248489419267,
        "Aggregation": "Equal post-event times",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID (treated cells)",
        "Estimate (SDs)": 0.015402015765743316,
        "SE": 0.13170498541603112,
        "Aggregation": "Treated cells",
        "Event study": "Same CS-DID path",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "SDID",
        "Estimate (SDs)": 0.128108467120289,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Matrix completion",
        "Estimate (SDs)": 0.10602643455642946,
        "SE": null,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": ""
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Horizontal ridge",
        "Estimate (SDs)": 0.24243269336868634,
        "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": "1d19f99cf01acbd1dbfd9179242a52d0a0720b78b08f6fcff09ab2eb0560eccc",
      "csdid_aggregations.py": "cbed0fb13450d9398f9a59d53dbfdf8e275a74daa01158c38c0f3396a3e8c6ee",
      "bootstrap_matrix.py": "9815529a8ae1abb9440939848b5f003758a359e14d400747488c6af340bf6be4",
      "eligibility.py": "a7b9e165017d6ac92b40068a0a274585962dbb40b09a4101ccd1ddb072ca51dd"
    },
    "scalar_ranges": [
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Static TWFE",
        "Estimate (SDs)": 0.11777012359857324,
        "SE": 0.09034156779109655,
        "Aggregation": "Coefficient",
        "Event study": "No",
        "Status": "estimated",
        "Note": "",
        "lower": -0.0720304673236714,
        "upper": 0.30757071452081786,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Dynamic TWFE",
        "Estimate (SDs)": 0.03610469807654346,
        "SE": 0.14508896150316652,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.26871589894114256,
        "upper": 0.34092529509422953,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "BJS / did2s",
        "Estimate (SDs)": 0.047401197777398346,
        "SE": 0.11658367762303824,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.19753202007319864,
        "upper": 0.29233441562799534,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "Sun\u2013Abraham",
        "Estimate (SDs)": 0.04003771997148135,
        "SE": 0.15165050618757056,
        "Aggregation": "Treated cells",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.27856817089169555,
        "upper": 0.3586436108346583,
        "ci_level": 0.95,
        "inference": "Configured-cluster regression interval"
      },
      {
        "Outcome / treatment": "y__d",
        "Estimator": "CS-DID (equal event-time)",
        "Estimate (SDs)": 0.014400170594631454,
        "SE": 0.1519248489419267,
        "Aggregation": "Equal post-event times",
        "Event study": "Yes",
        "Status": "estimated",
        "Note": "",
        "lower": -0.28336706168823306,
        "upper": 0.31216740287749595,
        "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)": 0.015402015765743316,
        "SE": 0.13170498541603112,
        "Aggregation": "Treated cells",
        "Event study": "Same CS-DID path",
        "Status": "estimated",
        "Note": "",
        "lower": -0.24273501223405072,
        "upper": 0.27353904376553734,
        "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)": 0.128108467120289,
        "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)": 0.10602643455642946,
        "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)": 0.24243269336868634,
        "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": 1791588644.202014,
  "scalar_ranges": [
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Static TWFE",
      "Estimate (SDs)": 0.11777012359857324,
      "SE": 0.09034156779109655,
      "Aggregation": "Coefficient",
      "Event study": "No",
      "Status": "estimated",
      "Note": "",
      "lower": -0.0720304673236714,
      "upper": 0.30757071452081786,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Dynamic TWFE",
      "Estimate (SDs)": 0.03610469807654346,
      "SE": 0.14508896150316652,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.26871589894114256,
      "upper": 0.34092529509422953,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "BJS / did2s",
      "Estimate (SDs)": 0.047401197777398346,
      "SE": 0.11658367762303824,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.19753202007319864,
      "upper": 0.29233441562799534,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "Sun\u2013Abraham",
      "Estimate (SDs)": 0.04003771997148135,
      "SE": 0.15165050618757056,
      "Aggregation": "Treated cells",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.27856817089169555,
      "upper": 0.3586436108346583,
      "ci_level": 0.95,
      "inference": "Configured-cluster regression interval"
    },
    {
      "Outcome / treatment": "y__d",
      "Estimator": "CS-DID (equal event-time)",
      "Estimate (SDs)": 0.014400170594631454,
      "SE": 0.1519248489419267,
      "Aggregation": "Equal post-event times",
      "Event study": "Yes",
      "Status": "estimated",
      "Note": "",
      "lower": -0.28336706168823306,
      "upper": 0.31216740287749595,
      "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)": 0.015402015765743316,
      "SE": 0.13170498541603112,
      "Aggregation": "Treated cells",
      "Event study": "Same CS-DID path",
      "Status": "estimated",
      "Note": "",
      "lower": -0.24273501223405072,
      "upper": 0.27353904376553734,
      "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)": 0.128108467120289,
      "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)": 0.10602643455642946,
      "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)": 0.24243269336868634,
      "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"
    }
  ]
}
