{ "study_id": 1, "specification_id": "S01-P084", "source_specification_id": "CI-T5-C-C11", "role": "active_comparison", "published_source_location": "Table 5, panel C, column 11 (\"Avoiding risky investment\"), accepted-manuscript p. 49", "outcome_label": "Avoiding risky investment z-score index [science-track students only]", "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-P084.json", "input_bytes": 151010, "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": "Avoiding risky investment z-score index [science-track students only]", "d": "New Curriculum indicator (newcurr)" }, "allow_repeated_cells": true, "time_fe": null, "latest_cohort_control": true, "slug": "s01-p084", "study_id": 1, "study": "Curriculum and Ideology", "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951", "description": "Avoiding risky investment z-score index [science-track students only]", "source_specification_id": "CI-T5-C-C11", "specification_id": "S01-P084", "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T5-C-C11.csv", "output_dir": "analyses/full-archive/results/S01-P084" }, "source": { "file": "CI-T5-C-C11.csv", "bytes": 151010, "sha256": "76bde52c889206c9bd7d3e8514ec4f341c36ada418a1cb6f747292b16e1a84cb" }, "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": 1034, "source_sd": 1.02432003144421, "rows": 659, "units": 19, "clusters": 19, "treated_units": 13, "never_treated_units": 6, "treated_cohorts": 3, "latest_cohort_control_index": null, "unique_unit_period_cells": 75, "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": 0.17009000522215836, "se": 0.1260422346708973, "pvalue": 0.1939163832199081, "lower": -0.09471490359916293, "upper": 0.4348949140434797 }, { "method": "Dynamic TWFE", "estimate": 0.0788688977149711, "se": 0.14401376207656436, "pvalue": 0.590660328010392, "lower": -0.22369278912971194, "upper": 0.3814305845596542 }, { "method": "BJS / did2s", "estimate": 0.13928866661889255, "se": 0.13258051955754638, "pvalue": 0.30734504377761934, "lower": -0.13925266902616468, "upper": 0.4178300022639498 }, { "method": "Sun\u2013Abraham", "estimate": 0.11425085708872226, "se": 0.13888209713358068, "pvalue": 0.4214740468576393, "lower": -0.17752960177411412, "upper": 0.4060313159515586 } ], "event_studies": { "Dynamic TWFE": [ { "event_time": -3, "estimate": 0.3045888316778595, "se": 0.218801411218166, "pvalue": 0.1808608042675789, "lower": -0.15509587558622817, "upper": 0.7642735389419472 }, { "event_time": -2, "estimate": -0.014614230217646558, "se": 0.13477943530424366, "pvalue": 0.9148536136483475, "lower": -0.29777531641957317, "upper": 0.26854685598428 }, { "event_time": 0, "estimate": 0.10752680062334573, "se": 0.12259806085903108, "pvalue": 0.3920056957928683, "lower": -0.1500421675262048, "upper": 0.3650957687728963 }, { "event_time": 1, "estimate": 0.12237439468781676, "se": 0.18121361652046206, "pvalue": 0.5080652650976101, "lower": -0.2583412862518095, "upper": 0.503090075627443 }, { "event_time": 2, "estimate": -0.06972355428094214, "se": 0.21843461974679043, "pvalue": 0.7532521496264651, "lower": -0.5286376612586445, "upper": 0.38919055269676023 } ], "BJS / did2s": [ { "event_time": -3, "estimate": 0.15765948068012342, "se": 0.1274556927707385, "pvalue": 0.23199241782675342, "lower": -0.11011499341611147, "upper": 0.4254339547763583 }, { "event_time": -2, "estimate": -0.10717117398568925, "se": 0.04980424753152025, "pvalue": 0.04523140654505147, "lower": -0.21180601532228044, "upper": -0.0025363326490980415 }, { "event_time": -1, "estimate": 0.033072709995432395, "se": 0.028244996970893804, "pvalue": 0.25689825973417857, "lower": -0.026267826667259762, "upper": 0.09241324665812456 }, { "event_time": 0, "estimate": 0.14372988613950702, "se": 0.11392779247409454, "pvalue": 0.22320188677622663, "lower": -0.09562352406532529, "upper": 0.38308329634433935 }, { "event_time": 1, "estimate": 0.2068988491537898, "se": 0.18293419666033203, "pvalue": 0.272899099609701, "lower": -0.17743163652369026, "upper": 0.5912293348312698 }, { "event_time": 2, "estimate": 0.009250922400833651, "se": 0.18039088539569217, "pvalue": 0.9596651130394999, "lower": -0.3697362645855713, "upper": 0.3882381093872386 } ], "Sun\u2013Abraham": [ { "event_time": -3, "estimate": 0.1892625214560755, "se": 0.28357769607430433, "pvalue": 0.5129768100326026, "lower": -0.406512110347205, "upper": 0.785037153259356 }, { "event_time": -2, "estimate": -0.30982436708475103, "se": 0.23467695414067788, "pvalue": 0.20330586799175038, "lower": -0.8028623523755365, "upper": 0.1832136182060345 }, { "event_time": 0, "estimate": 0.12242837367502554, "se": 0.12423393854201761, "pvalue": 0.3374571606402243, "lower": -0.13857744595384988, "upper": 0.38343419330390094 }, { "event_time": 1, "estimate": 0.07080258666700592, "se": 0.1521039268169088, "pvalue": 0.6471644198793484, "lower": -0.24875590558984764, "upper": 0.3903610789238595 }, { "event_time": 2, "estimate": 0.17006003270975095, "se": 0.32809494791478383, "pvalue": 0.6105441226619179, "lower": -0.5192418746561538, "upper": 0.8593619400756558 } ] }, "target": { "event_times": [ 0.0, 1.0, 2.0 ], "weights": [ 0.47706422018348627, 0.3333333333333333, 0.18960244648318042 ], "weighting": "observations" }, "checks": { "did2s_vs_direct_imputation_max_post_difference": 2.7755575615628914e-17, "package_aggregate_vs_estimable_cell_weights": 2.7755575615628914e-17, "saturated_vs_deviations_relative_rss_difference": 5.314758251858778e-16 }, "inference": { "standard_errors": "Cluster-robust; did2s uses two-stage covariance", "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom" }, "f_test": { "F": 3.6802366866491734, "df_num": 1, "df_den": 628, "pvalue": 0.055514115135109246, "log10_pvalue": -1.2555965782125678, "inference": "Homoskedastic nested-model F", "observations": 659, "design_columns": 9, "restricted_design_columns": 8, "fixed_effect_rank": 22, "covariance_rank": 1, "rss_unrestricted": 641.7234745259883, "rss_restricted": 645.4841341973809, "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": [ [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ], [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ], [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ], [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ], [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ] ] }, "formula": "y~i(rel_time,ref=-1.0)+i(rel_time,cohort_dummy_3,ref=-1.0)+i(rel_time,cohort_dummy_4,ref=-1.0)|unit+time_fe", "restriction_names": [ "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_3" ], "deviations": [ { "event_time": -2.0, "cohort": 3, "estimate": -0.9455335557805796 }, { "event_time": 0.0, "cohort": 3, "estimate": -1.0682156031879892 }, { "event_time": 1.0, "cohort": 3, "estimate": -0.9358917703482322 }, { "event_time": 0.0, "cohort": 4, "estimate": -0.4161235944931186 } ] } } }, "code_sha256": { "replication_engine.py": "85957b22db6cf6312f27a925b03b907e4d51071cc59a60cfdf2d7b039b1e34eb", "reference_f_test.py": "26f3d65e1ff59d46f05bb28011b2ed34b9ee150f04c47c144dd6836a4d75d6f0", "sparse_did2s.py": "a348042269b0077dd2916898779f992f0b5fc2971edfee8b0118d3af715eaafb" } }, "comparison": { "schema": "expensive-replication-v1", "config": { "outcomes": [ "y" ], "treatments": [ "d" ], "unit": "unit", "time": "time", "cluster": "cluster", "covariates": [], "baseline_by_time": [], "weight": null, "period_step": 1, "period_values": null, "display_window": [ -10, 10 ], "seed": 20261008, "panelview_max_units": 100, "test_mode": "classical", "test_horizon": null, "post_horizon": null, "post_weighting": "observations", "sample_query": null, "reversal_policy": "drop_post_untreated", "labels": { "y": "Avoiding risky investment z-score index [science-track students only]", "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-p084", "study_id": 1, "study": "Curriculum and Ideology", "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951", "description": "Avoiding risky investment z-score index [science-track students only]", "source_specification_id": "CI-T5-C-C11", "specification_id": "S01-P084", "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T5-C-C11.csv", "output_dir": "analyses/archive-expanded/fits/S01-P084" }, "options": { "output_dir": "analyses/archive-expanded/fits/S01-P084", "regression_results": "analyses/archive-expanded/baselines/S01-P084.json", "display_window": [ -10, 10 ], "timeout_seconds": 3600 }, "source": { "file": "CI-T5-C-C11.csv", "bytes": 151010, "sha256": "76bde52c889206c9bd7d3e8514ec4f341c36ada418a1cb6f747292b16e1a84cb" }, "regressions": { "y__d": { "sample": { "outcome": "y", "treatment": "d", "source_rows": 1034, "source_sd": 1.02432003144421, "rows": 659, "units": 19, "clusters": 19, "treated_units": 13, "never_treated_units": 6, "treated_cohorts": 3, "latest_cohort_control_index": null, "unique_unit_period_cells": 75, "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": 0.17009000522215836, "se": 0.1260422346708973, "pvalue": 0.1939163832199081, "lower": -0.09471490359916293, "upper": 0.4348949140434797 }, { "method": "Dynamic TWFE", "estimate": 0.0788688977149711, "se": 0.14401376207656436, "pvalue": 0.590660328010392, "lower": -0.22369278912971194, "upper": 0.3814305845596542 }, { "method": "BJS / did2s", "estimate": 0.13928866661889255, "se": 0.13258051955754638, "pvalue": 0.30734504377761934, "lower": -0.13925266902616468, "upper": 0.4178300022639498 }, { "method": "Sun\u2013Abraham", "estimate": 0.11425085708872226, "se": 0.13888209713358068, "pvalue": 0.4214740468576393, "lower": -0.17752960177411412, "upper": 0.4060313159515586 } ], "event_studies": { "Dynamic TWFE": [ { "event_time": -3, "estimate": 0.3045888316778595, "se": 0.218801411218166, "pvalue": 0.1808608042675789, "lower": -0.15509587558622817, "upper": 0.7642735389419472 }, { "event_time": -2, "estimate": -0.014614230217646558, "se": 0.13477943530424366, "pvalue": 0.9148536136483475, "lower": -0.29777531641957317, "upper": 0.26854685598428 }, { "event_time": 0, "estimate": 0.10752680062334573, "se": 0.12259806085903108, "pvalue": 0.3920056957928683, "lower": -0.1500421675262048, "upper": 0.3650957687728963 }, { "event_time": 1, "estimate": 0.12237439468781676, "se": 0.18121361652046206, "pvalue": 0.5080652650976101, "lower": -0.2583412862518095, "upper": 0.503090075627443 }, { "event_time": 2, "estimate": -0.06972355428094214, "se": 0.21843461974679043, "pvalue": 0.7532521496264651, "lower": -0.5286376612586445, "upper": 0.38919055269676023 } ], "BJS / did2s": [ { "event_time": -3, "estimate": 0.15765948068012342, "se": 0.1274556927707385, "pvalue": 0.23199241782675342, "lower": -0.11011499341611147, "upper": 0.4254339547763583 }, { "event_time": -2, "estimate": -0.10717117398568925, "se": 0.04980424753152025, "pvalue": 0.04523140654505147, "lower": -0.21180601532228044, "upper": -0.0025363326490980415 }, { "event_time": -1, "estimate": 0.033072709995432395, "se": 0.028244996970893804, "pvalue": 0.25689825973417857, "lower": -0.026267826667259762, "upper": 0.09241324665812456 }, { "event_time": 0, "estimate": 0.14372988613950702, "se": 0.11392779247409454, "pvalue": 0.22320188677622663, "lower": -0.09562352406532529, "upper": 0.38308329634433935 }, { "event_time": 1, "estimate": 0.2068988491537898, "se": 0.18293419666033203, "pvalue": 0.272899099609701, "lower": -0.17743163652369026, "upper": 0.5912293348312698 }, { "event_time": 2, "estimate": 0.009250922400833651, "se": 0.18039088539569217, "pvalue": 0.9596651130394999, "lower": -0.3697362645855713, "upper": 0.3882381093872386 } ], "Sun\u2013Abraham": [ { "event_time": -3, "estimate": 0.1892625214560755, "se": 0.28357769607430433, "pvalue": 0.5129768100326026, "lower": -0.406512110347205, "upper": 0.785037153259356 }, { "event_time": -2, "estimate": -0.30982436708475103, "se": 0.23467695414067788, "pvalue": 0.20330586799175038, "lower": -0.8028623523755365, "upper": 0.1832136182060345 }, { "event_time": 0, "estimate": 0.12242837367502554, "se": 0.12423393854201761, "pvalue": 0.3374571606402243, "lower": -0.13857744595384988, "upper": 0.38343419330390094 }, { "event_time": 1, "estimate": 0.07080258666700592, "se": 0.1521039268169088, "pvalue": 0.6471644198793484, "lower": -0.24875590558984764, "upper": 0.3903610789238595 }, { "event_time": 2, "estimate": 0.17006003270975095, "se": 0.32809494791478383, "pvalue": 0.6105441226619179, "lower": -0.5192418746561538, "upper": 0.8593619400756558 } ] }, "target": { "event_times": [ 0.0, 1.0, 2.0 ], "weights": [ 0.47706422018348627, 0.3333333333333333, 0.18960244648318042 ], "weighting": "observations" }, "checks": { "did2s_vs_direct_imputation_max_post_difference": 2.7755575615628914e-17, "package_aggregate_vs_estimable_cell_weights": 2.7755575615628914e-17, "saturated_vs_deviations_relative_rss_difference": 5.314758251858778e-16 }, "inference": { "standard_errors": "Cluster-robust; did2s uses two-stage covariance", "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom" }, "f_test": { "F": 3.6802366866491734, "df_num": 1, "df_den": 628, "pvalue": 0.055514115135109246, "log10_pvalue": -1.2555965782125678, "inference": "Homoskedastic nested-model F", "observations": 659, "design_columns": 9, "restricted_design_columns": 8, "fixed_effect_rank": 22, "covariance_rank": 1, "rss_unrestricted": 641.7234745259883, "rss_restricted": 645.4841341973809, "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": [ [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ], [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ], [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ], [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ], [ -0.11696304387920567, -0.16827740983658304, -0.016632091636153458, -0.10202137468978056, -0.13500819266843425, -0.21028448862795965 ] ] }, "formula": "y~i(rel_time,ref=-1.0)+i(rel_time,cohort_dummy_3,ref=-1.0)+i(rel_time,cohort_dummy_4,ref=-1.0)|unit+time_fe", "restriction_names": [ "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_3" ], "deviations": [ { "event_time": -2.0, "cohort": 3, "estimate": -0.9455335557805796 }, { "event_time": 0.0, "cohort": 3, "estimate": -1.0682156031879892 }, { "event_time": 1.0, "cohort": 3, "estimate": -0.9358917703482322 }, { "event_time": 0.0, "cohort": 4, "estimate": -0.4161235944931186 } ] } } }, "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": 0.08971205967170542, "se": 0.16150162601230325, "lower": -0.22682531075706608, "upper": 0.4062494301004769 }, { "typec": "simple", "aggregation": "Native CS-DID simple", "matches_treated_unit_year_target": false, "estimate": 0.09593214304242041, "se": 0.15715573197157862, "lower": -0.21208743158590354, "upper": 0.4039517176707444 }, { "typec": "group", "aggregation": "Native CS-DID group", "matches_treated_unit_year_target": false, "estimate": 0.060111920849400695, "se": 0.15607429788118832, "lower": -0.24578808191010448, "upper": 0.3660119236089059 }, { "typec": "treated_cells", "aggregation": "Observed treated observations, configured weights", "matches_treated_unit_year_target": true, "weight_sum": 327.0, "post_cells": 6, "estimate": 0.08230260714327138, "se": 0.15725875844055442, "lower": -0.22591889565369955, "upper": 0.3905241099402423 } ], "same_group_time_effects": true, "additional_covariates": [] }, "estimate": 0.08971205967170542, "se": 0.16150162601230325, "lower": -0.22682531075706608, "upper": 0.4062494301004769, "event_study": [ { "event_time": -3, "estimate": 0.2833052675853972, "se": 0.24062801045366455, "lower": -0.18831696657531294, "upper": 0.7549275017461073, "relative_to_minus_one": 0.2833052675853972, "n": 0.0 }, { "event_time": -2, "estimate": -0.17515846848070307, "se": 0.19666001981579173, "lower": -0.5606050245185882, "upper": 0.21028808755718206, "relative_to_minus_one": -0.17515846848070307, "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": 0.11847843893348493, "se": 0.13111586387294633, "lower": -0.1385039320593463, "upper": 0.37546080992631614, "relative_to_minus_one": 0.11847843893348493, "n": 156.0 }, { "event_time": 1, "estimate": 0.08518295634861217, "se": 0.27590671535986183, "lower": -0.4555842688494611, "upper": 0.6259501815466855, "relative_to_minus_one": 0.08518295634861217, "n": 109.0 }, { "event_time": 2, "estimate": 0.06547478373301918, "se": 0.24384513763254767, "lower": -0.41245290383198685, "upper": 0.5434024712980252, "relative_to_minus_one": 0.06547478373301918, "n": 62.0 } ], "group_time_estimates": [ { "group": 2, "year": 1, "att": 0.0, "se": null, "event_time": -1, "mass": 0.0 }, { "group": 2, "year": 2, "att": 0.3530721441665462, "se": 0.2137903423083991, "event_time": 0, "mass": 59.0 }, { "group": 2, "year": 3, "att": 0.46170716002806694, "se": 0.1672583952599209, "event_time": 1, "mass": 66.0 }, { "group": 2, "year": 4, "att": 0.06547478373301918, "se": 0.24384513763254767, "event_time": 2, "mass": 62.0 }, { "group": 3, "year": 1, "att": -0.5213672820633495, "se": 0.2871963552070606, "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": -0.27202790641401137, "se": 0.2798324967157158, "event_time": 0, "mass": 58.0 }, { "group": 3, "year": 4, "att": -0.46512164902905245, "se": 0.46292684687131075, "event_time": 1, "mass": 43.0 }, { "group": 4, "year": 1, "att": 0.2833052675853972, "se": 0.24062801045366455, "event_time": -3, "mass": 0.0 }, { "group": 4, "year": 2, "att": 0.32923195820435935, "se": 0.5087378028956342, "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": 0.1878829835124569, "se": 0.12759188286539988, "event_time": 0, "mass": 39.0 } ], "treated_cell_att": 0.08230260714327138, "treated_cell_se": 0.15725875844055442, "checks": { "input_rows": 659, "retained_rows": 659, "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": 0.04236616613343358, "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": 0.20941774757957313, "event_study": [ { "event_time": -3, "estimate": 0.45445886585021206, "raw_gap": 0.09705796610343934, "n": 21, "n_cells": 4, "weight_sum": 21.0, "relative_to_minus_one": 0.3217393620739246 }, { "event_time": -2, "estimate": 0.31968787379899244, "raw_gap": -0.04602921307977391, "n": 67, "n_cells": 8, "weight_sum": 67.0, "relative_to_minus_one": 0.18696837002270497 }, { "event_time": -1, "estimate": 0.13271950377628747, "raw_gap": -0.04453500638214153, "n": 117, "n_cells": 13, "weight_sum": 117.0, "relative_to_minus_one": 0.0 }, { "event_time": 0, "estimate": 0.4267352977310654, "raw_gap": 0.19945260831770673, "n": 156, "n_cells": 13, "weight_sum": 156.0, "relative_to_minus_one": 0.29401579395477795 }, { "event_time": 1, "estimate": 0.0533851972859699, "raw_gap": -0.09296895831502217, "n": 109, "n_cells": 9, "weight_sum": 109.0, "relative_to_minus_one": -0.07933430649031756 }, { "event_time": 2, "estimate": -0.063065959543492, "raw_gap": -0.06306595954349187, "n": 62, "n_cells": 5, "weight_sum": 62.0, "relative_to_minus_one": -0.19578546331977947 } ], "package_event_study": { "event_time": [ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0 ], "estimate": [ -0.005695110364559969, 0.004837097283455216, -0.001224333600723211, 0.2348212129350641, -0.03109995058457672, 0.006218034489995861 ], "n": [ 4.0, 8.0, 13.0, 13.0, 9.0, 5.0 ] }, "sdid_pre_gap_correction": [ { "cohort": 1, "pre_gap": 1.4432899320127036e-16 }, { "cohort": 2, "pre_gap": -0.3709907665234452 }, { "cohort": 3, "pre_gap": -0.35740089974677275 } ], "diagnostics": { "converged": true, "pre_rmse": 0.3212828485135305, "zeta_omega": [ 0.0, 3.1763229207083605, 2.8267247004976044 ], "zeta_lambda": [ 0.0, 1.8886529084263033e-06, 1.9987962042693684e-06 ], "n_observed": 75, "n_missing": 1, "n_treated_observed": 27, "n_untreated_observed": 48, "missing_method": "available-case normalized weights", "missing_diagnostics": [ { "cohort": 1, "unit_iterations": 0, "time_iterations": 0, "unit_objective": 0.0, "time_objective": 0.7451666291143226, "unit_projected_gradient": 2.7755575615628914e-17, "time_projected_gradient": 0.0 }, { "cohort": 2, "unit_iterations": 11, "time_iterations": 16, "unit_objective": 1.900875572758316, "time_objective": 0.310381848197406, "unit_projected_gradient": 7.937060286788977e-09, "time_projected_gradient": 9.205792461663975e-09 }, { "cohort": 3, "unit_iterations": 14, "time_iterations": 19, "unit_objective": 1.4777759330465678, "time_objective": 0.10902116398113605, "unit_projected_gradient": 6.998821966419655e-09, "time_projected_gradient": 3.1332929584237945e-09 } ] }, "checks": { "scalar_vs_treated_cell_average": 0.0, "native_scalar_vs_unweighted_matrix_average": 1.1102230246251565e-16 }, "native_matrix_att": 0.2667183746858991, "matrix_preparation": { "source_rows": 659, "matrix_shape": [ 19, 4 ], "observed_cells": 75, "missing_cells": 1, "repeated_cells": 73, "minimum_cell_count": 1, "maximum_cell_count": 31, "observation_mass": 659.0, "treated_observation_mass": 327.0, "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": 0.0006760000251233578, "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": 0.1265622889800433, "event_study": [ { "event_time": -3, "estimate": 0.14439506329555485, "raw_gap": 0.14439506329555485, "n": 21, "n_cells": 4, "weight_sum": 21.0, "relative_to_minus_one": 0.17231544256741857 }, { "event_time": -2, "estimate": -0.04143378702880237, "raw_gap": -0.04143378702880237, "n": 67, "n_cells": 8, "weight_sum": 67.0, "relative_to_minus_one": -0.013513407756938638 }, { "event_time": -1, "estimate": -0.02792037927186373, "raw_gap": -0.02792037927186373, "n": 117, "n_cells": 13, "weight_sum": 117.0, "relative_to_minus_one": 0.0 }, { "event_time": 0, "estimate": 0.17762970016019758, "raw_gap": 0.17762970016019758, "n": 156, "n_cells": 13, "weight_sum": 156.0, "relative_to_minus_one": 0.2055500794320613 }, { "event_time": 1, "estimate": 0.09967295133800783, "raw_gap": 0.09967295133800783, "n": 109, "n_cells": 9, "weight_sum": 109.0, "relative_to_minus_one": 0.12759333060987155 }, { "event_time": 2, "estimate": 0.04534328347807217, "raw_gap": 0.04534328347807217, "n": 62, "n_cells": 5, "weight_sum": 62.0, "relative_to_minus_one": 0.0732636627499359 } ], "package_event_study": { "event_time": [ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0 ], "estimate": [ 0.09031011646737273, -0.020829298191673257, -0.014969565626968816, 0.21501129696007304, 0.1723244849343125, 0.09970564747874684 ], "n": [ 4.0, 8.0, 13.0, 13.0, 9.0, 5.0 ] }, "sdid_pre_gap_correction": [], "diagnostics": { "converged": true, "iterations": 28, "termination_reason": "Relative objective tolerance reached", "objective": 0.17252326390835046, "lambda_l": 0.039539339849697513, "singular_values": [ 2.9192859011350096, 0.22102754636644506, 0.0, 0.0 ], "history_objective": [ 0.1742147601305481, 0.17293094697725886, 0.17262998322543235, 0.17255522682200483, 0.1725340073669618, 0.1725271402239987, 0.172524716191817, 0.17252381890514115, 0.1725234785565851, 0.172523347723464, 0.1725232969724063, 0.17252327712021764, 0.17252326927786335, 0.17252326613965863, 0.17252326486201058, 0.17252326432990464, 0.17252326410185062, 0.17252326400070264, 0.17252326395409073, 0.17252326393174255, 0.17252326392061343, 0.17252326391488132, 0.17252326391184525, 0.17252326391020167, 0.1725232639092971, 0.17252326390879333, 0.17252326390851025, 0.17252326390835046 ], "history_rmse": [ 0.22331960937874473, 0.22220686769763334, 0.2213478469603781, 0.2208142768143663, 0.22047648627597494, 0.22026240009250547, 0.22012751005938985, 0.22004294259000307, 0.21999010502249658, 0.21995716720036504, 0.21993666553591945, 0.21992391747268375, 0.21991599599531536, 0.219911075908299, 0.21990802092152056, 0.21990612439281138, 0.21990494718792294, 0.21990421654273895, 0.21990376308624135, 0.2199034816708457, 0.219903307028797, 0.21990319865052183, 0.21990313139459558, 0.2199030896581576, 0.21990306375827706, 0.21990304768596589, 0.21990303771223696, 0.219903031523022 ], "n_observed": 75, "n_missing": 1, "n_treated_observed": 27, "n_untreated_observed": 48 }, "checks": { "scalar_vs_treated_cell_average": 2.7755575615628914e-17, "native_scalar_vs_unweighted_matrix_average": 2.7755575615628914e-17 }, "native_matrix_att": 0.17942946156605544, "matrix_preparation": { "source_rows": 659, "matrix_shape": [ 19, 4 ], "observed_cells": 75, "missing_cells": 1, "repeated_cells": 73, "minimum_cell_count": 1, "maximum_cell_count": 31, "observation_mass": 659.0, "treated_observation_mass": 327.0, "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": 0.00040683289989829063, "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": 0.3105276124651162, "event_study": [ { "event_time": -3, "estimate": 0.09847158800009405, "raw_gap": 0.09847158800009405, "n": 21, "n_cells": 4, "weight_sum": 21.0, "relative_to_minus_one": 0.12648852491235224 }, { "event_time": -2, "estimate": 0.02452986672589939, "raw_gap": 0.02452986672589939, "n": 67, "n_cells": 8, "weight_sum": 67.0, "relative_to_minus_one": 0.05254680363815757 }, { "event_time": -1, "estimate": -0.028016936912258178, "raw_gap": -0.028016936912258178, "n": 117, "n_cells": 13, "weight_sum": 117.0, "relative_to_minus_one": 0.0 }, { "event_time": 0, "estimate": 0.33498878829357476, "raw_gap": 0.33498878829357476, "n": 156, "n_cells": 13, "weight_sum": 156.0, "relative_to_minus_one": 0.36300572520583296 }, { "event_time": 1, "estimate": 0.3386544079165731, "raw_gap": 0.3386544079165731, "n": 109, "n_cells": 9, "weight_sum": 109.0, "relative_to_minus_one": 0.36667134482883124 }, { "event_time": 2, "estimate": 0.19953141676433658, "raw_gap": 0.19953141676433658, "n": 62, "n_cells": 5, "weight_sum": 62.0, "relative_to_minus_one": 0.22754835367659476 } ], "package_event_study": { "event_time": [ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0 ], "estimate": [ -0.004281488467905242, -0.00978692424324884, 0.007340103678277893, 0.32916347868851376, 0.40385133485054925, 0.26881541079782434 ], "n": [ 4.0, 8.0, 13.0, 13.0, 9.0, 5.0 ] }, "sdid_pre_gap_correction": [], "diagnostics": { "pre_rmse": 0.014198463577241591, "penalty": 1.0, "n_observed": 75, "n_missing": 1, "n_treated_observed": 27, "n_untreated_observed": 48, "missing_method": "available donors with complete-case pre-period training" }, "checks": { "scalar_vs_treated_cell_average": 5.551115123125783e-17, "native_scalar_vs_unweighted_matrix_average": 5.551115123125783e-17 }, "native_matrix_att": 0.3428838626146203, "matrix_preparation": { "source_rows": 659, "matrix_shape": [ 19, 4 ], "observed_cells": 75, "missing_cells": 1, "repeated_cells": 73, "minimum_cell_count": 1, "maximum_cell_count": 31, "observation_mass": 659.0, "treated_observation_mass": 327.0, "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": 0.0003266669809818268, "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 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)": 0.17009000522215836, "SE": 0.1260422346708973, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.0788688977149711, "SE": 0.14401376207656436, "Aggregation": "observations", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.13928866661889255, "SE": 0.13258051955754638, "Aggregation": "observations", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": 0.11425085708872226, "SE": 0.13888209713358068, "Aggregation": "observations", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID", "Estimate (SDs)": 0.08971205967170542, "SE": 0.16150162601230325, "Aggregation": "Equal post-event times", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (treated cells)", "Estimate (SDs)": 0.08230260714327138, "SE": 0.15725875844055442, "Aggregation": "Treated cells", "Event study": "Same CS-DID path", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "SDID", "Estimate (SDs)": 0.20941774757957313, "SE": null, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Matrix completion", "Estimate (SDs)": 0.1265622889800433, "SE": null, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Horizontal ridge", "Estimate (SDs)": 0.3105276124651162, "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": "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": "a55b171313d43a703063c87e668021b75eb3153fa30795b9ae3d9e2721d9b9d0", "eligibility.py": "f0eb686ff3f13e89c8f3d85f49890601c4a7f9a611a2938753be599b8ceac9a6" }, "scalar_ranges": [ { "Outcome / treatment": "y__d", "Estimator": "Static TWFE", "Estimate (SDs)": 0.17009000522215836, "SE": 0.1260422346708973, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "", "lower": -0.09471490359916293, "upper": 0.4348949140434797, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.0788688977149711, "SE": 0.14401376207656436, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.22369278912971194, "upper": 0.3814305845596542, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.13928866661889255, "SE": 0.13258051955754638, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.13925266902616468, "upper": 0.4178300022639498, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": 0.11425085708872226, "SE": 0.13888209713358068, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.17752960177411412, "upper": 0.4060313159515586, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (equal event-time)", "Estimate (SDs)": 0.08971205967170542, "SE": 0.16150162601230325, "Aggregation": "Equal post-event times", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.22682531075706608, "upper": 0.4062494301004769, "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)": 0.08230260714327138, "SE": 0.15725875844055442, "Aggregation": "Treated cells", "Event study": "Same CS-DID path", "Status": "estimated", "Note": "", "lower": -0.22591889565369955, "upper": 0.3905241099402423, "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)": 0.20941774757957313, "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)": 0.1265622889800433, "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)": 0.3105276124651162, "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": 1791602669.074365, "scalar_ranges": [ { "Outcome / treatment": "y__d", "Estimator": "Static TWFE", "Estimate (SDs)": 0.17009000522215836, "SE": 0.1260422346708973, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "", "lower": -0.09471490359916293, "upper": 0.4348949140434797, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.0788688977149711, "SE": 0.14401376207656436, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.22369278912971194, "upper": 0.3814305845596542, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.13928866661889255, "SE": 0.13258051955754638, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.13925266902616468, "upper": 0.4178300022639498, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": 0.11425085708872226, "SE": 0.13888209713358068, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.17752960177411412, "upper": 0.4060313159515586, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (equal event-time)", "Estimate (SDs)": 0.08971205967170542, "SE": 0.16150162601230325, "Aggregation": "Equal post-event times", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.22682531075706608, "upper": 0.4062494301004769, "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)": 0.08230260714327138, "SE": 0.15725875844055442, "Aggregation": "Treated cells", "Event study": "Same CS-DID path", "Status": "estimated", "Note": "", "lower": -0.22591889565369955, "upper": 0.3905241099402423, "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)": 0.20941774757957313, "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)": 0.1265622889800433, "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)": 0.3105276124651162, "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" } ] }