{ "study_id": 22, "specification_id": "S22-P084", "source_specification_id": "REXER-T6-PB-OTHER-C7-HOLD", "role": "active_comparison", "published_source_location": "", "outcome_label": "", "outcome_variable": "", "treatment_label": "", "unit_fixed_effects": "", "time_fixed_effects": "", "allowed_adjustments": "", "published_weights": "", "published_clustering": "", "panel_structure": "", "design": "", "descriptive_metadata_status": "not_recorded_in_exported_source_metadata", "title": "Corruption as a Local Advantage", "status": "ready", "reason": "", "config": "analyses/full-archive/configs/S22-P084.json", "input_bytes": 503102, "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": "", "d": "" }, "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": "s22-p084", "study_id": 22, "study": "Corruption as a Local Advantage", "citation": "Rexer (2025), AER. https://doi.org/10.1257/aer.20220528", "description": "REXER-T6-PB-OTHER-C7-HOLD", "source_specification_id": "REXER-T6-PB-OTHER-C7-HOLD", "specification_id": "S22-P084", "data": "repl-archives/twfe-microdata-replication-private/outputs/expansion_nigerian_oil_2026_10_06/validation/native_inputs/REXER-T6-PB-OTHER-C7-HOLD.csv", "output_dir": "analyses/full-archive/results/S22-P084" }, "source": { "file": "REXER-T6-PB-OTHER-C7-HOLD.csv", "bytes": 503102, "sha256": "101446099a007878fa813b22cd72eba48a76207306a9469a4bb7f17283e2745f" }, "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": 3183, "source_sd": 9.624386552239383, "rows": 546, "units": 56, "clusters": 56, "treated_units": 3, "never_treated_units": 53, "treated_cohorts": 3, "latest_cohort_control_index": null, "unique_unit_period_cells": 546, "unsupported_prediction_rows_removed": 0, "rows_without_never_control_time_fe_removed": 0, "initially_treated_units_removed": 251, "post_adoption_untreated_rows_removed": 1151, "units_without_minus_one_removed": 0, "additional_rows_removed": 7 }, "estimates": [ { "method": "Static TWFE", "estimate": 0.25749476125531173, "se": 0.24540962010345685, "pvalue": 0.2986542724329067, "lower": -0.234317107681992, "upper": 0.7493066301926155 }, { "method": "Dynamic TWFE", "estimate": 0.20977972620046398, "se": 0.19806501329957568, "pvalue": 0.2941628234892229, "lower": -0.18715143045464588, "upper": 0.6067108828555738 }, { "method": "BJS / did2s", "estimate": 0.15579761282921037, "se": 0.2145689899108772, "pvalue": 0.4708588707528798, "lower": -0.27420825205730437, "upper": 0.585803477715725 }, { "method": "Sun\u2013Abraham", "estimate": 0.16070124937302005, "se": 0.08925098729763535, "pvalue": 0.07725742557223345, "lower": -0.018161726124211852, "upper": 0.33956422487025195 } ], "event_studies": { "Dynamic TWFE": [ { "event_time": -3, "estimate": -1.4333057320209244, "se": 0.20362785889380983, "pvalue": 3.257844363740924e-09, "lower": -1.841385080369402, "upper": -1.0252263836724467 }, { "event_time": -2, "estimate": -0.022397311706870506, "se": 0.256433836724104, "pvalue": 0.9307173052098271, "lower": -0.5363022044526317, "upper": 0.49150758103889064 }, { "event_time": 0, "estimate": -0.2781863205336648, "se": 0.3201900371015495, "pvalue": 0.38872318991398375, "lower": -0.9198614940481831, "upper": 0.36348885298085337 }, { "event_time": 1, "estimate": 0.147404968097087, "se": 0.12922330127317688, "pvalue": 0.25893776015820336, "lower": -0.11156431469882475, "upper": 0.4063742508929987 }, { "event_time": 2, "estimate": 0.6462331413233486, "se": 0.22233536443816942, "pvalue": 0.00525748655712684, "lower": 0.2006631140803442, "upper": 1.091803168566353 }, { "event_time": 3, "estimate": 0.9255205523638351, "se": 0.2090644412080245, "pvalue": 4.578495723220048e-05, "lower": 0.5065460495896333, "upper": 1.344495055138037 } ], "BJS / did2s": [ { "event_time": -3, "estimate": -0.7540708257754374, "se": 0.1222583933972083, "pvalue": 8.606751194507554e-08, "lower": -0.9990821212764248, "upper": -0.50905953027445 }, { "event_time": -2, "estimate": 0.18171812675717222, "se": 0.05348205691568619, "pvalue": 0.0012694919642680894, "lower": 0.07453768959571816, "upper": 0.2888985639186263 }, { "event_time": -1, "estimate": 0.13020672143499135, "se": 0.15886031841965143, "pvalue": 0.415964713302864, "lower": -0.18815647096556365, "upper": 0.44856991383554634 }, { "event_time": 0, "estimate": -0.14397093996642163, "se": 0.4748654077792298, "pvalue": 0.7628945450961856, "lower": -1.0956224831908599, "upper": 0.8076806032580167 }, { "event_time": 1, "estimate": -0.005501729095817815, "se": 0.09872852803918215, "pvalue": 0.9557621679419224, "lower": -0.20335812067455694, "upper": 0.19235466248292132 }, { "event_time": 2, "estimate": 0.5054630201801779, "se": 0.24079324948761963, "pvalue": 0.04040656407165901, "lower": 0.022902564693272065, "upper": 0.9880234756670836 }, { "event_time": 3, "estimate": 0.6783711403642279, "se": 0.10743376497003447, "pvalue": 4.976390631475835e-08, "lower": 0.4630690641269182, "upper": 0.8936732166015375 } ], "Sun\u2013Abraham": [ { "event_time": -3, "estimate": -1.2927398054336223, "se": 0.22173338159940487, "pvalue": 3.0212884576003283e-07, "lower": -1.7371034321089711, "upper": -0.8483761787582735 }, { "event_time": -2, "estimate": -0.013612487194478717, "se": 0.05368708726498584, "pvalue": 0.8007868357188219, "lower": -0.1212038143578627, "upper": 0.09397883996890527 }, { "event_time": 0, "estimate": -0.2749493055944281, "se": 0.03374002908342957, "pvalue": 4.9883829285171944e-11, "lower": -0.3425658348670992, "upper": -0.207332776321757 }, { "event_time": 1, "estimate": 0.0722105687627059, "se": 0.11225777870548546, "pvalue": 0.5227305855875864, "lower": -0.15275904703564958, "upper": 0.2971801845610614 }, { "event_time": 2, "estimate": 0.5809130111513312, "se": 0.16559623966747522, "pvalue": 0.0009078344948719134, "lower": 0.24905073091342844, "upper": 0.912775291389234 }, { "event_time": 3, "estimate": 0.8042107519393707, "se": 0.1244410864977787, "pvalue": 2.8538634421281942e-08, "lower": 0.554825241716664, "upper": 1.0535962621620776 } ] }, "target": { "event_times": [ 0.0, 1.0, 2.0, 3.0 ], "weights": [ 0.375, 0.25, 0.25, 0.125 ], "weighting": "observations" }, "checks": { "did2s_vs_direct_imputation_max_post_difference": 1.1102230246251565e-16, "package_aggregate_vs_estimable_cell_weights": 0.0, "saturated_vs_deviations_relative_rss_difference": 2.7342893535069062e-15 }, "inference": { "standard_errors": "Cluster-robust; did2s uses two-stage covariance", "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom" }, "f_test": { "F": 0.0635432414618982, "df_num": 2, "df_den": 469, "pvalue": 0.9384416169802532, "log10_pvalue": -0.027592740849786326, "inference": "Homoskedastic nested-model F", "observations": 546, "design_columns": 11, "restricted_design_columns": 9, "fixed_effect_rank": 66, "covariance_rank": 2, "rss_unrestricted": 228.6801163406231, "rss_restricted": 228.74208254893938, "test_horizon": null, "reference_cohort": 8, "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.3.0]" ], "data": [ [ 3.101927297073854e-25, -1.9387045606711586e-26, -5.169878828456423e-26, -1.550963648536927e-25, -1.9387045606711586e-26, 2.0679515313825692e-25 ], [ -6.32765215741514e-13, -1.275149585604588e-13, 1.7769151313824687e-13, 8.104567564056175e-13, 1.2691253247888016e-13, 1.1028708126720622e-12 ], [ -1.975745421788644e-12, -3.981498287094274e-13, 5.548103607688256e-13, 2.5305558569130837e-12, 3.9626908809605165e-13, 3.443592979553998e-12 ], [ -1.975745421788644e-12, -3.981498287094274e-13, 5.548103607688256e-13, 2.5305558569130837e-12, 3.9626908809605165e-13, 3.443592979553998e-12 ], [ -8.336676211317725e-12, -1.6799592848847348e-12, 2.3408404024114793e-12, 1.0677516842894456e-11, 1.672026634773367e-12, 1.4530138400925566e-11 ] ] }, "formula": "y~i(rel_time,ref=-1.0)+i(rel_time,cohort_dummy_9,ref=-1.0)+i(rel_time,cohort_dummy_11,ref=-1.0)|unit_fe+time_fe", "restriction_names": [ "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_9", "C(rel_time, contr.treatment(base=-1.0))[T.2.0]:cohort_dummy_9" ], "deviations": [ { "event_time": 0.0, "cohort": 9, "estimate": 0.5795836674498548 }, { "event_time": 1.0, "cohort": 9, "estimate": -0.05260695351227703 }, { "event_time": 2.0, "cohort": 9, "estimate": 0.4081514729118816 }, { "event_time": -2.0, "cohort": 11, "estimate": -0.5294214839639032 }, { "event_time": 0.0, "cohort": 11, "estimate": 1.3432760079822106 } ] } } }, "code_sha256": { "replication_engine.py": "4d1c3ebb7851c82ad64d9ac8e54247610500cbb6d72e579ec3a30184da092d06", "reference_f_test.py": "9cf8f31eeda89784ac1750ea22c35401ae46e24e06279acf938d2d103b78cccf", "sparse_did2s.py": "75169d7fbba6e1bad163e564ac9b5b1262a04033eda925dc379dc3eef64c59fa", "frequency.py": "8f922ae4be2b63ad9b89515d8e665cda4e11a354258b54ef3b820648243642eb", "sparse_models.py": "538c06b81a46a104838d662d6e6489d0d2daa7f680fd234049f28c97c87ef555" } }, "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": "", "d": "" }, "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": "s22-p084", "study_id": 22, "study": "Corruption as a Local Advantage", "citation": "Rexer (2025), AER. https://doi.org/10.1257/aer.20220528", "description": "REXER-T6-PB-OTHER-C7-HOLD", "source_specification_id": "REXER-T6-PB-OTHER-C7-HOLD", "specification_id": "S22-P084", "data": "repl-archives/twfe-microdata-replication-private/outputs/expansion_nigerian_oil_2026_10_06/validation/native_inputs/REXER-T6-PB-OTHER-C7-HOLD.csv", "output_dir": "analyses/archive-expanded/fits/S22-P084" }, "options": { "output_dir": "analyses/archive-expanded/fits/S22-P084", "regression_results": "analyses/archive-expanded/baselines/S22-P084.json", "display_window": [ -10, 10 ], "timeout_seconds": 3600 }, "source": { "file": "REXER-T6-PB-OTHER-C7-HOLD.csv", "bytes": 503102, "sha256": "101446099a007878fa813b22cd72eba48a76207306a9469a4bb7f17283e2745f" }, "regressions": { "y__d": { "sample": { "outcome": "y", "treatment": "d", "source_rows": 3183, "source_sd": 9.624386552239383, "rows": 546, "units": 56, "clusters": 56, "treated_units": 3, "never_treated_units": 53, "treated_cohorts": 3, "latest_cohort_control_index": null, "unique_unit_period_cells": 546, "unsupported_prediction_rows_removed": 0, "rows_without_never_control_time_fe_removed": 0, "initially_treated_units_removed": 251, "post_adoption_untreated_rows_removed": 1151, "units_without_minus_one_removed": 0, "additional_rows_removed": 7 }, "estimates": [ { "method": "Static TWFE", "estimate": 0.25749476125531173, "se": 0.24540962010345685, "pvalue": 0.2986542724329067, "lower": -0.234317107681992, "upper": 0.7493066301926155 }, { "method": "Dynamic TWFE", "estimate": 0.20977972620046398, "se": 0.19806501329957568, "pvalue": 0.2941628234892229, "lower": -0.18715143045464588, "upper": 0.6067108828555738 }, { "method": "BJS / did2s", "estimate": 0.15579761282921037, "se": 0.2145689899108772, "pvalue": 0.4708588707528798, "lower": -0.27420825205730437, "upper": 0.585803477715725 }, { "method": "Sun\u2013Abraham", "estimate": 0.16070124937302005, "se": 0.08925098729763535, "pvalue": 0.07725742557223345, "lower": -0.018161726124211852, "upper": 0.33956422487025195 } ], "event_studies": { "Dynamic TWFE": [ { "event_time": -3, "estimate": -1.4333057320209244, "se": 0.20362785889380983, "pvalue": 3.257844363740924e-09, "lower": -1.841385080369402, "upper": -1.0252263836724467 }, { "event_time": -2, "estimate": -0.022397311706870506, "se": 0.256433836724104, "pvalue": 0.9307173052098271, "lower": -0.5363022044526317, "upper": 0.49150758103889064 }, { "event_time": 0, "estimate": -0.2781863205336648, "se": 0.3201900371015495, "pvalue": 0.38872318991398375, "lower": -0.9198614940481831, "upper": 0.36348885298085337 }, { "event_time": 1, "estimate": 0.147404968097087, "se": 0.12922330127317688, "pvalue": 0.25893776015820336, "lower": -0.11156431469882475, "upper": 0.4063742508929987 }, { "event_time": 2, "estimate": 0.6462331413233486, "se": 0.22233536443816942, "pvalue": 0.00525748655712684, "lower": 0.2006631140803442, "upper": 1.091803168566353 }, { "event_time": 3, "estimate": 0.9255205523638351, "se": 0.2090644412080245, "pvalue": 4.578495723220048e-05, "lower": 0.5065460495896333, "upper": 1.344495055138037 } ], "BJS / did2s": [ { "event_time": -3, "estimate": -0.7540708257754374, "se": 0.1222583933972083, "pvalue": 8.606751194507554e-08, "lower": -0.9990821212764248, "upper": -0.50905953027445 }, { "event_time": -2, "estimate": 0.18171812675717222, "se": 0.05348205691568619, "pvalue": 0.0012694919642680894, "lower": 0.07453768959571816, "upper": 0.2888985639186263 }, { "event_time": -1, "estimate": 0.13020672143499135, "se": 0.15886031841965143, "pvalue": 0.415964713302864, "lower": -0.18815647096556365, "upper": 0.44856991383554634 }, { "event_time": 0, "estimate": -0.14397093996642163, "se": 0.4748654077792298, "pvalue": 0.7628945450961856, "lower": -1.0956224831908599, "upper": 0.8076806032580167 }, { "event_time": 1, "estimate": -0.005501729095817815, "se": 0.09872852803918215, "pvalue": 0.9557621679419224, "lower": -0.20335812067455694, "upper": 0.19235466248292132 }, { "event_time": 2, "estimate": 0.5054630201801779, "se": 0.24079324948761963, "pvalue": 0.04040656407165901, "lower": 0.022902564693272065, "upper": 0.9880234756670836 }, { "event_time": 3, "estimate": 0.6783711403642279, "se": 0.10743376497003447, "pvalue": 4.976390631475835e-08, "lower": 0.4630690641269182, "upper": 0.8936732166015375 } ], "Sun\u2013Abraham": [ { "event_time": -3, "estimate": -1.2927398054336223, "se": 0.22173338159940487, "pvalue": 3.0212884576003283e-07, "lower": -1.7371034321089711, "upper": -0.8483761787582735 }, { "event_time": -2, "estimate": -0.013612487194478717, "se": 0.05368708726498584, "pvalue": 0.8007868357188219, "lower": -0.1212038143578627, "upper": 0.09397883996890527 }, { "event_time": 0, "estimate": -0.2749493055944281, "se": 0.03374002908342957, "pvalue": 4.9883829285171944e-11, "lower": -0.3425658348670992, "upper": -0.207332776321757 }, { "event_time": 1, "estimate": 0.0722105687627059, "se": 0.11225777870548546, "pvalue": 0.5227305855875864, "lower": -0.15275904703564958, "upper": 0.2971801845610614 }, { "event_time": 2, "estimate": 0.5809130111513312, "se": 0.16559623966747522, "pvalue": 0.0009078344948719134, "lower": 0.24905073091342844, "upper": 0.912775291389234 }, { "event_time": 3, "estimate": 0.8042107519393707, "se": 0.1244410864977787, "pvalue": 2.8538634421281942e-08, "lower": 0.554825241716664, "upper": 1.0535962621620776 } ] }, "target": { "event_times": [ 0.0, 1.0, 2.0, 3.0 ], "weights": [ 0.375, 0.25, 0.25, 0.125 ], "weighting": "observations" }, "checks": { "did2s_vs_direct_imputation_max_post_difference": 1.1102230246251565e-16, "package_aggregate_vs_estimable_cell_weights": 0.0, "saturated_vs_deviations_relative_rss_difference": 2.7342893535069062e-15 }, "inference": { "standard_errors": "Cluster-robust; did2s uses two-stage covariance", "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom" }, "f_test": { "F": 0.0635432414618982, "df_num": 2, "df_den": 469, "pvalue": 0.9384416169802532, "log10_pvalue": -0.027592740849786326, "inference": "Homoskedastic nested-model F", "observations": 546, "design_columns": 11, "restricted_design_columns": 9, "fixed_effect_rank": 66, "covariance_rank": 2, "rss_unrestricted": 228.6801163406231, "rss_restricted": 228.74208254893938, "test_horizon": null, "reference_cohort": 8, "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.3.0]" ], "data": [ [ 3.101927297073854e-25, -1.9387045606711586e-26, -5.169878828456423e-26, -1.550963648536927e-25, -1.9387045606711586e-26, 2.0679515313825692e-25 ], [ -6.32765215741514e-13, -1.275149585604588e-13, 1.7769151313824687e-13, 8.104567564056175e-13, 1.2691253247888016e-13, 1.1028708126720622e-12 ], [ -1.975745421788644e-12, -3.981498287094274e-13, 5.548103607688256e-13, 2.5305558569130837e-12, 3.9626908809605165e-13, 3.443592979553998e-12 ], [ -1.975745421788644e-12, -3.981498287094274e-13, 5.548103607688256e-13, 2.5305558569130837e-12, 3.9626908809605165e-13, 3.443592979553998e-12 ], [ -8.336676211317725e-12, -1.6799592848847348e-12, 2.3408404024114793e-12, 1.0677516842894456e-11, 1.672026634773367e-12, 1.4530138400925566e-11 ] ] }, "formula": "y~i(rel_time,ref=-1.0)+i(rel_time,cohort_dummy_9,ref=-1.0)+i(rel_time,cohort_dummy_11,ref=-1.0)|unit_fe+time_fe", "restriction_names": [ "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_9", "C(rel_time, contr.treatment(base=-1.0))[T.2.0]:cohort_dummy_9" ], "deviations": [ { "event_time": 0.0, "cohort": 9, "estimate": 0.5795836674498548 }, { "event_time": 1.0, "cohort": 9, "estimate": -0.05260695351227703 }, { "event_time": 2.0, "cohort": 9, "estimate": 0.4081514729118816 }, { "event_time": -2.0, "cohort": 11, "estimate": -0.5294214839639032 }, { "event_time": 0.0, "cohort": 11, "estimate": 1.3432760079822106 } ] } } }, "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": true, "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": "unbalanced or varying-weight panel; native repeated-cross-section comparisons", "aggregations": { "summaries": [ { "typec": "dynamic", "aggregation": "Native CS-DID dynamic", "matches_treated_unit_year_target": false, "estimate": 0.34483646602756846, "se": 0.1376846817036432, "lower": 0.07497944866556683, "upper": 0.6146934833895701 }, { "typec": "simple", "aggregation": "Native CS-DID simple", "matches_treated_unit_year_target": false, "estimate": 0.20474915499958998, "se": 0.10082340717555448, "lower": 0.007138908136885946, "upper": 0.402359401862294 }, { "typec": "group", "aggregation": "Native CS-DID group", "matches_treated_unit_year_target": false, "estimate": 0.2583047818009402, "se": 0.12105176565250544, "lower": 0.021047680857046752, "upper": 0.4955618827448336 }, { "typec": "treated_cells", "aggregation": "Observed treated observations, configured weights", "matches_treated_unit_year_target": true, "weight_sum": 8.0, "post_cells": 8, "estimate": 0.20474915499959, "se": 0.10082340717555448, "lower": 0.007138908136885974, "upper": 0.402359401862294 } ], "same_group_time_effects": true, "additional_covariates": [] }, "estimate": 0.34483646602756846, "se": 0.1376846817036432, "lower": 0.07497944866556683, "upper": 0.6146934833895701, "event_study": [ { "event_time": -3, "estimate": -1.3307390658401275, "se": 0.22139697394104316, "lower": -1.7646691610507248, "upper": -0.89680897062953, "relative_to_minus_one": -1.3307390658401275, "n": 0.0 }, { "event_time": -2, "estimate": -0.02478885331333419, "se": 0.20225544540135035, "lower": -0.42120224197708817, "upper": 0.3716245353504198, "relative_to_minus_one": -0.02478885331333419, "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": -0.24749082925266758, "se": 0.3053070607890437, "lower": -0.845881672624974, "upper": 0.35090001411963895, "relative_to_minus_one": -0.24749082925266758, "n": 3.0 }, { "event_time": 1, "estimate": 0.1117211145934352, "se": 0.12070762136272968, "lower": -0.1248614759370126, "upper": 0.348303705123883, "relative_to_minus_one": 0.1117211145934352, "n": 2.0 }, { "event_time": 2, "estimate": 0.6419079197983462, "se": 0.21274430968202776, "lower": 0.22493673490573585, "upper": 1.0588791046909565, "relative_to_minus_one": 0.6419079197983462, "n": 2.0 }, { "event_time": 3, "estimate": 0.8732076589711601, "se": 0.13038392156630024, "lower": 0.6176598685381165, "upper": 1.1287554494042038, "relative_to_minus_one": 0.8732076589711601, "n": 1.0 } ], "group_time_estimates": [ { "group": 8, "year": 1, "att": null, "se": null, "event_time": -7, "mass": 0.0 }, { "group": 8, "year": 2, "att": null, "se": null, "event_time": -6, "mass": 0.0 }, { "group": 8, "year": 3, "att": null, "se": null, "event_time": -5, "mass": 0.0 }, { "group": 8, "year": 4, "att": null, "se": null, "event_time": -4, "mass": 0.0 }, { "group": 8, "year": 5, "att": null, "se": null, "event_time": -3, "mass": 0.0 }, { "group": 8, "year": 6, "att": 0.2510982547874036, "se": 0.08343463967039211, "event_time": -2, "mass": 0.0 }, { "group": 8, "year": 7, "att": 0.0, "se": null, "event_time": -1, "mass": 0.0 }, { "group": 8, "year": 8, "att": -0.8285576364868174, "se": 0.1902004126634769, "event_time": 0, "mass": 1.0 }, { "group": 8, "year": 9, "att": 0.1665107790367401, "se": 0.10209879638847548, "event_time": 1, "mass": 1.0 }, { "group": 8, "year": 10, "att": 0.46082783158301294, "se": 0.11775961309975135, "event_time": 2, "mass": 1.0 }, { "group": 8, "year": 11, "att": 0.8732076589711601, "se": 0.13038392156630021, "event_time": 3, "mass": 1.0 }, { "group": 9, "year": 1, "att": null, "se": null, "event_time": -8, "mass": 0.0 }, { "group": 9, "year": 2, "att": null, "se": null, "event_time": -7, "mass": 0.0 }, { "group": 9, "year": 3, "att": null, "se": null, "event_time": -6, "mass": 0.0 }, { "group": 9, "year": 4, "att": null, "se": null, "event_time": -5, "mass": 0.0 }, { "group": 9, "year": 5, "att": null, "se": null, "event_time": -4, "mass": 0.0 }, { "group": 9, "year": 6, "att": null, "se": null, "event_time": -3, "mass": 0.0 }, { "group": 9, "year": 7, "att": null, "se": null, "event_time": -2, "mass": 0.0 }, { "group": 9, "year": 8, "att": 0.0, "se": null, "event_time": -1, "mass": 0.0 }, { "group": 9, "year": 9, "att": -0.34128832851506846, "se": 0.16432452217099378, "event_time": 0, "mass": 1.0 }, { "group": 9, "year": 10, "att": 0.05693145015013029, "se": 0.21843545401633774, "event_time": 1, "mass": 1.0 }, { "group": 9, "year": 11, "att": 0.8229880080136793, "se": 0.296483039910555, "event_time": 2, "mass": 1.0 }, { "group": 11, "year": 1, "att": null, "se": null, "event_time": -10, "mass": 0.0 }, { "group": 11, "year": 2, "att": null, "se": null, "event_time": -9, "mass": 0.0 }, { "group": 11, "year": 3, "att": null, "se": null, "event_time": -8, "mass": 0.0 }, { "group": 11, "year": 4, "att": null, "se": null, "event_time": -7, "mass": 0.0 }, { "group": 11, "year": 5, "att": null, "se": null, "event_time": -6, "mass": 0.0 }, { "group": 11, "year": 6, "att": null, "se": null, "event_time": -5, "mass": 0.0 }, { "group": 11, "year": 7, "att": null, "se": null, "event_time": -4, "mass": 0.0 }, { "group": 11, "year": 8, "att": -1.3307390658401275, "se": 0.22139697394104316, "event_time": -3, "mass": 0.0 }, { "group": 11, "year": 9, "att": -0.300675961414072, "se": 0.09396540242871929, "event_time": -2, "mass": 0.0 }, { "group": 11, "year": 10, "att": 0.0, "se": null, "event_time": -1, "mass": 0.0 }, { "group": 11, "year": 11, "att": 0.427373477243883, "se": 0.12182011705634177, "event_time": 0, "mass": 1.0 } ], "treated_cell_att": 0.20474915499959, "treated_cell_se": 0.10082340717555448, "checks": { "input_rows": 546, "retained_rows": 546, "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": [ "Be aware that there are some small groups in your dataset.\n Check groups: 8,9,11.", "No (treated or control) units for group 11 in time period 1; setting ATT to NA.", "No (treated or control) units for group 11 in time period 2; setting ATT to NA.", "No (treated or control) units for group 11 in time period 3; setting ATT to NA.", "No (treated or control) units for group 11 in time period 4; setting ATT to NA.", "No (treated or control) units for group 11 in time period 5; setting ATT to NA.", "No (treated or control) units for group 11 in time period 6; setting ATT to NA.", "No (treated or control) units for group 11 in time period 7; setting ATT to NA.", "No (treated or control) units for group 8 in time period 1; setting ATT to NA.", "No (treated or control) units for group 8 in time period 2; setting ATT to NA.", "No (treated or control) units for group 8 in time period 3; setting ATT to NA.", "No (treated or control) units for group 8 in time period 4; setting ATT to NA.", "No (treated or control) units for group 8 in time period 5; setting ATT to NA.", "No (treated or control) units for group 9 in time period 1; setting ATT to NA.", "No (treated or control) units for group 9 in time period 2; setting ATT to NA.", "No (treated or control) units for group 9 in time period 3; setting ATT to NA.", "No (treated or control) units for group 9 in time period 4; setting ATT to NA.", "No (treated or control) units for group 9 in time period 5; setting ATT to NA.", "No (treated or control) units for group 9 in time period 6; setting ATT to NA.", "No (treated or control) units for group 9 in time period 7; setting ATT to NA." ], "seconds": 0.05602874979376793, "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": 0.058821377101131195, "event_study": [ { "event_time": -3, "estimate": -0.09727402555590975, "raw_gap": -0.06594739492515989, "n": 1, "n_cells": 1, "weight_sum": 1.0, "relative_to_minus_one": -0.08767741877266101 }, { "event_time": -2, "estimate": 0.011200677535648254, "raw_gap": 0.029284642586550724, "n": 2, "n_cells": 2, "weight_sum": 2.0, "relative_to_minus_one": 0.020797284318897 }, { "event_time": -1, "estimate": -0.009596606783248742, "raw_gap": 0.002459369917353127, "n": 3, "n_cells": 3, "weight_sum": 3.0, "relative_to_minus_one": 0.0 }, { "event_time": 0, "estimate": -0.3686176560279428, "raw_gap": -0.3565616793273409, "n": 3, "n_cells": 3, "weight_sum": 3.0, "relative_to_minus_one": -0.359021049244694 }, { "event_time": 1, "estimate": -0.022005449417256483, "raw_gap": -0.01958479968172861, "n": 2, "n_cells": 2, "weight_sum": 2.0, "relative_to_minus_one": -0.01240884263400774 }, { "event_time": 2, "estimate": 0.4713226403064294, "raw_gap": 0.47374329004195725, "n": 2, "n_cells": 2, "weight_sum": 2.0, "relative_to_minus_one": 0.48091924708967815 }, { "event_time": 3, "estimate": 0.677789603114532, "raw_gap": 0.682630902585587, "n": 1, "n_cells": 1, "weight_sum": 1.0, "relative_to_minus_one": 0.6873862098977807 } ], "package_event_study": { "event_time": [ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0 ], "estimate": [ -0.06594739492515989, 0.029284642586550724, 0.002459369917353127, -0.3565616793273409, -0.01958479968172861, 0.47374329004195725, 0.682630902585587 ], "n": [ 1.0, 2.0, 3.0, 3.0, 2.0, 2.0, 1.0 ] }, "sdid_pre_gap_correction": [ { "cohort": 7, "pre_gap": 0.004841299471055079 }, { "cohort": 8, "pre_gap": 6.661338147750939e-16 }, { "cohort": 10, "pre_gap": 0.03132663063074986 } ], "diagnostics": { "converged": true, "pre_rmse": 0.03576794959404708, "zeta_omega": [ 0.9721858333006448, 1.1644918091917642, 0.990418657689456 ], "zeta_lambda": [ 6.874391953003803e-07, 8.848224322728877e-07, 9.90418657689456e-07 ], "n_observed": 546, "n_missing": 70, "n_treated_observed": 8, "n_untreated_observed": 538, "missing_method": "available-case normalized weights", "missing_diagnostics": [ { "cohort": 7, "unit_iterations": 13, "time_iterations": 13, "unit_objective": 0.022697247958143853, "time_objective": 0.19640177633142886, "unit_projected_gradient": 7.672161727971527e-09, "time_projected_gradient": 9.976745318773794e-09 }, { "cohort": 8, "unit_iterations": 0, "time_iterations": 0, "unit_objective": 0.027120823473494166, "time_objective": 2.3605114048013425, "unit_projected_gradient": 1.0408340855860843e-17, "time_projected_gradient": 0.0 }, { "cohort": 10, "unit_iterations": 22, "time_iterations": 11, "unit_objective": 0.034572459430645346, "time_objective": 0.7865274687408839, "unit_projected_gradient": 7.918696736525233e-09, "time_projected_gradient": 0.0 } ] }, "checks": { "scalar_vs_treated_cell_average": 0.0, "native_scalar_vs_unweighted_matrix_average": 7.632783294297951e-17 }, "native_matrix_att": 0.05882137710113112, "matrix_preparation": { "source_rows": 546, "matrix_shape": [ 56, 11 ], "observed_cells": 546, "missing_cells": 70, "repeated_cells": 0, "minimum_cell_count": 1, "maximum_cell_count": 1, "observation_mass": 546.0, "treated_observation_mass": 8.0, "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": 0.0006975419819355011, "crabbymetrics": "0.9.1", "crabbymetrics_build": { "source_commit": "cb3fcc0e8664cdbb6848d3998ddc4365d65740dc", "extension_sha256": "3e1dd2e2bd6d38612b9200b15094fc37138cd002749f8b31148d6265fc533cbd" }, "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": 0.08785511765928869, "event_study": [ { "event_time": -3, "estimate": -0.3627685168426533, "raw_gap": -0.3627685168426533, "n": 1, "n_cells": 1, "weight_sum": 1.0, "relative_to_minus_one": -0.3963939556734266 }, { "event_time": -2, "estimate": 0.13094508572062902, "raw_gap": 0.13094508572062902, "n": 2, "n_cells": 2, "weight_sum": 2.0, "relative_to_minus_one": 0.09731964688985571 }, { "event_time": -1, "estimate": 0.033625438830773305, "raw_gap": 0.033625438830773305, "n": 3, "n_cells": 3, "weight_sum": 3.0, "relative_to_minus_one": 0.0 }, { "event_time": 0, "estimate": -0.305912190535375, "raw_gap": -0.305912190535375, "n": 3, "n_cells": 3, "weight_sum": 3.0, "relative_to_minus_one": -0.3395376293661483 }, { "event_time": 1, "estimate": -0.0102934649391773, "raw_gap": -0.0102934649391773, "n": 2, "n_cells": 2, "weight_sum": 2.0, "relative_to_minus_one": -0.043918903769950605 }, { "event_time": 2, "estimate": 0.4870920544022538, "raw_gap": 0.4870920544022538, "n": 2, "n_cells": 2, "weight_sum": 2.0, "relative_to_minus_one": 0.4534666155714805 }, { "event_time": 3, "estimate": 0.6669803339542815, "raw_gap": 0.6669803339542815, "n": 1, "n_cells": 1, "weight_sum": 1.0, "relative_to_minus_one": 0.6333548951235082 } ], "package_event_study": { "event_time": [ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0 ], "estimate": [ -0.3627685168426533, 0.13094508572062902, 0.033625438830773305, -0.30591219053537494, -0.0102934649391773, 0.4870920544022538, 0.6669803339542815 ], "n": [ 1.0, 2.0, 3.0, 3.0, 2.0, 2.0, 1.0 ] }, "sdid_pre_gap_correction": [], "diagnostics": { "converged": true, "iterations": 28, "termination_reason": "Relative objective tolerance reached", "objective": 0.24813087011270746, "lambda_l": 0.011793727197004911, "singular_values": [ 9.810528671186928, 1.683362959777066, 0.5946342879255311, 0.005462591037346698, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], "history_objective": [ 0.24979506213644573, 0.24840793729545038, 0.24819287143088048, 0.24814907713291978, 0.2481372175452606, 0.24813328876354604, 0.2481318377454062, 0.2481312704501582, 0.24813104052915685, 0.24813094460622231, 0.24813090350185607, 0.24813088542965345, 0.24813087728763772, 0.24813087353577545, 0.2481308717715892, 0.24813087092727074, 0.24813087051705535, 0.24813087031520958, 0.24813087021483698, 0.2481308701644837, 0.2481308701390374, 0.24813087012609755, 0.2481308701194823, 0.2481308701160847, 0.24813087011433216, 0.24813087011342477, 0.24813087011295332, 0.24813087011270746 ], "history_rmse": [ 0.33070365312004874, 0.32648307490595807, 0.3253899564872478, 0.32503535520207183, 0.324905556109908, 0.32485331289882197, 0.3248301981259373, 0.3248189537614354, 0.32481299309999495, 0.3248096074097235, 0.32480758500385365, 0.3248063343844713, 0.32480554270273465, 0.3248050333654737, 0.324804701795549, 0.32480448396365963, 0.3248043397630966, 0.3248042436692196, 0.3248041792471237, 0.32480413581744005, 0.3248041063873848, 0.32480408634701113, 0.32480407263830574, 0.3248040632208801, 0.32480405672579515, 0.32480405222977105, 0.3248040491069888, 0.32480404693125053 ], "n_observed": 546, "n_missing": 70, "n_treated_observed": 8, "n_untreated_observed": 538 }, "checks": { "scalar_vs_treated_cell_average": 1.3877787807814457e-17, "native_scalar_vs_unweighted_matrix_average": 0.0 }, "native_matrix_att": 0.08785511765928869, "matrix_preparation": { "source_rows": 546, "matrix_shape": [ 56, 11 ], "observed_cells": 546, "missing_cells": 70, "repeated_cells": 0, "minimum_cell_count": 1, "maximum_cell_count": 1, "observation_mass": 546.0, "treated_observation_mass": 8.0, "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": 0.0008837077766656876, "crabbymetrics": "0.9.1", "crabbymetrics_build": { "source_commit": "cb3fcc0e8664cdbb6848d3998ddc4365d65740dc", "extension_sha256": "3e1dd2e2bd6d38612b9200b15094fc37138cd002749f8b31148d6265fc533cbd" }, "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": -0.44158658600568346, "event_study": [ { "event_time": -3, "estimate": 0.0, "raw_gap": 0.0, "n": 1, "n_cells": 1, "weight_sum": 1.0, "relative_to_minus_one": -1.283417816466681e-13 }, { "event_time": -2, "estimate": 0.0, "raw_gap": 0.0, "n": 2, "n_cells": 2, "weight_sum": 2.0, "relative_to_minus_one": -1.283417816466681e-13 }, { "event_time": -1, "estimate": 1.283417816466681e-13, "raw_gap": 1.283417816466681e-13, "n": 3, "n_cells": 3, "weight_sum": 3.0, "relative_to_minus_one": 0.0 }, { "event_time": 0, "estimate": -0.4502451465154675, "raw_gap": -0.4502451465154675, "n": 3, "n_cells": 3, "weight_sum": 3.0, "relative_to_minus_one": -0.45024514651559583 }, { "event_time": 1, "estimate": -0.6234163567138606, "raw_gap": -0.6234163567138606, "n": 2, "n_cells": 2, "weight_sum": 2.0, "relative_to_minus_one": -0.623416356713989 }, { "event_time": 2, "estimate": -0.4675622675356722, "raw_gap": -0.4675622675356722, "n": 2, "n_cells": 2, "weight_sum": 2.0, "relative_to_minus_one": -0.46756226753580055 }, { "event_time": 3, "estimate": 0.0, "raw_gap": 0.0, "n": 1, "n_cells": 1, "weight_sum": 1.0, "relative_to_minus_one": -1.283417816466681e-13 } ], "package_event_study": { "event_time": [ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0 ], "estimate": [ 0.0, 0.0, 1.283417816466681e-13, -0.4502451465154675, -0.6234163567138606, -0.4675622675356722, 0.0 ], "n": [ 1.0, 2.0, 3.0, 3.0, 2.0, 2.0, 1.0 ] }, "sdid_pre_gap_correction": [], "diagnostics": { "pre_rmse": 1.571859388570159e-13, "penalty": 1.0, "n_observed": 546, "n_missing": 70, "n_treated_observed": 8, "n_untreated_observed": 538, "missing_method": "available donors with complete-case pre-period training" }, "checks": { "scalar_vs_treated_cell_average": 1.1102230246251565e-16, "native_scalar_vs_unweighted_matrix_average": 1.1102230246251565e-16 }, "native_matrix_att": -0.44158658600568357, "matrix_preparation": { "source_rows": 546, "matrix_shape": [ 56, 11 ], "observed_cells": 546, "missing_cells": 70, "repeated_cells": 0, "minimum_cell_count": 1, "maximum_cell_count": 1, "observation_mass": 546.0, "treated_observation_mass": 8.0, "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": 0.0028888750821352005, "crabbymetrics": "0.9.1", "crabbymetrics_build": { "source_commit": "cb3fcc0e8664cdbb6848d3998ddc4365d65740dc", "extension_sha256": "3e1dd2e2bd6d38612b9200b15094fc37138cd002749f8b31148d6265fc533cbd" }, "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 a complete finite outcome matrix; no panel balancing performed." }, { "method": "Multisynth (individual)", "status": "unsupported", "reason": "multisynth-individual: requires a complete finite outcome matrix; no panel balancing performed." } ] }, "combined_table": [ { "Outcome / treatment": "y__d", "Estimator": "Static TWFE", "Estimate (SDs)": 0.25749476125531173, "SE": 0.24540962010345685, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.20977972620046398, "SE": 0.19806501329957568, "Aggregation": "observations", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.15579761282921037, "SE": 0.2145689899108772, "Aggregation": "observations", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": 0.16070124937302005, "SE": 0.08925098729763535, "Aggregation": "observations", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID", "Estimate (SDs)": 0.34483646602756846, "SE": 0.1376846817036432, "Aggregation": "Equal post-event times", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (treated cells)", "Estimate (SDs)": 0.20474915499959, "SE": 0.10082340717555448, "Aggregation": "Treated cells", "Event study": "Same CS-DID path", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "SDID", "Estimate (SDs)": 0.058821377101131195, "SE": null, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Matrix completion", "Estimate (SDs)": 0.08785511765928869, "SE": null, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Horizontal ridge", "Estimate (SDs)": -0.44158658600568346, "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 a complete finite outcome matrix; no panel balancing performed." }, { "Outcome / treatment": "y__d", "Estimator": "Multisynth (individual)", "Estimate (SDs)": null, "SE": null, "Aggregation": "Treated cells", "Event study": "No", "Status": "unsupported", "Note": "multisynth-individual: requires a complete finite outcome matrix; no panel balancing performed." } ], "adapter_sha256": { "validate_template.py": "9c8cc9bb42c9d4eb4f48bfa0a6ee09498fe83516d08aa9f26a49c21c4686618a", "mtgpax_worker.py": "7279b1b2aaa3f5909cd39ac1964d2e9c75907219011fe661a015511131affa85", "csdid_general.py": "07619c3b3dfee796ae9e4842afdbc6e367a74cece254ede73f7c403dfc924f6d", "runner.py": "3d6f87d28c1a24f0efe21b6d9b06d77866b0d16abcfdaaaef47465cc9cc1078e", "matrix_inputs.py": "3f675276f9022147996dd5b62762721be2dd436d5db171491a286b05628176ae", "csdid_model.py": "b9fd5536d4886e99a707d2b162db5b11da3ff463930eca5b7590d27500096a3f", "multisynth_model.R": "3ae0740c5b75b14f563dacc9961688e8286655866a6b435045a3ef6f453c1604", "csdid_streaming.py": "378198e98c44bd46862601bdcb514b19d9ea4038cddc38dad7fdba9b0aa0216b", "multisynth_sparse.R": "f9ab3d8d7f7b52a79ccd694c7173f626276a0830f23bb79e527c88c0f0292540", "matrix_models.py": "2fddc228b899ed1c806fd1bd7feef84c5164b4c9d472d0218d2f1491a47a302b", "csdid_aggregations.py": "cbed0fb13450d9398f9a59d53dbfdf8e275a74daa01158c38c0f3396a3e8c6ee", "bootstrap_matrix.py": "c6a1f4bb0085e0a21f9a41677fb4def7990be5f6199077a53e951de489ab9550", "eligibility.py": "f0eb686ff3f13e89c8f3d85f49890601c4a7f9a611a2938753be599b8ceac9a6" }, "scalar_ranges": [ { "Outcome / treatment": "y__d", "Estimator": "Static TWFE", "Estimate (SDs)": 0.25749476125531173, "SE": 0.24540962010345685, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "", "lower": -0.234317107681992, "upper": 0.7493066301926155, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.20977972620046398, "SE": 0.19806501329957568, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.18715143045464588, "upper": 0.6067108828555738, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.15579761282921037, "SE": 0.2145689899108772, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.27420825205730437, "upper": 0.585803477715725, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": 0.16070124937302005, "SE": 0.08925098729763535, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.018161726124211852, "upper": 0.33956422487025195, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (equal event-time)", "Estimate (SDs)": 0.34483646602756846, "SE": 0.1376846817036432, "Aggregation": "Equal post-event times", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": 0.07497944866556683, "upper": 0.6146934833895701, "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)": 0.20474915499959, "SE": 0.10082340717555448, "Aggregation": "Treated cells", "Event study": "Same CS-DID path", "Status": "estimated", "Note": "", "lower": 0.007138908136885974, "upper": 0.402359401862294, "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)": 0.058821377101131195, "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)": 0.08785511765928869, "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)": -0.44158658600568346, "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 a complete finite outcome matrix; no panel balancing performed.", "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 a complete finite outcome matrix; no panel balancing performed.", "lower": null, "upper": null, "ci_level": null, "inference": "Not computed" } ], "reporting_source": { "path": "templates/reporting/comparison_report.py", "sha256": "94e9c5116a13335ead2db81834cac48593160291aea51c30c12fe3e11e5da1ce" } }, "finished": 1791602626.321921, "scalar_ranges": [ { "Outcome / treatment": "y__d", "Estimator": "Static TWFE", "Estimate (SDs)": 0.25749476125531173, "SE": 0.24540962010345685, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "", "lower": -0.234317107681992, "upper": 0.7493066301926155, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.20977972620046398, "SE": 0.19806501329957568, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.18715143045464588, "upper": 0.6067108828555738, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.15579761282921037, "SE": 0.2145689899108772, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.27420825205730437, "upper": 0.585803477715725, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": 0.16070124937302005, "SE": 0.08925098729763535, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.018161726124211852, "upper": 0.33956422487025195, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (equal event-time)", "Estimate (SDs)": 0.34483646602756846, "SE": 0.1376846817036432, "Aggregation": "Equal post-event times", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": 0.07497944866556683, "upper": 0.6146934833895701, "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)": 0.20474915499959, "SE": 0.10082340717555448, "Aggregation": "Treated cells", "Event study": "Same CS-DID path", "Status": "estimated", "Note": "", "lower": 0.007138908136885974, "upper": 0.402359401862294, "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)": 0.058821377101131195, "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)": 0.08785511765928869, "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)": -0.44158658600568346, "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 a complete finite outcome matrix; no panel balancing performed.", "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 a complete finite outcome matrix; no panel balancing performed.", "lower": null, "upper": null, "ci_level": null, "inference": "Not computed" } ] }