{ "study_id": 1, "specification_id": "S01-P059", "source_specification_id": "CI-T3-K02-ORIG", "role": "active_comparison", "published_source_location": "Table 3, panel K, row 2 (\"Not invested in bonds\"), accepted-manuscript p. 47", "outcome_label": "Not invested in bonds [Table 3 original scale]", "outcome_variable": "", "treatment_label": "New Curriculum indicator (newcurr)", "unit_fixed_effects": "Province", "time_fixed_effects": "High-school entry cohort", "allowed_adjustments": "", "published_weights": "", "published_clustering": "Province x high-school-entry cohort (proXcoh)", "panel_structure": "Student repeated cross-section; treatment assigned at province x high-school-entry-cohort", "design": "repeated_cross_section", "descriptive_metadata_status": "recorded_source_fields", "title": "Curriculum and Ideology", "status": "ready", "reason": "", "config": "analyses/full-archive/configs/S01-P059.json", "input_bytes": 186590, "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": "Not invested in bonds [Table 3 original scale]", "d": "New Curriculum indicator (newcurr)" }, "allow_repeated_cells": true, "time_fe": null, "latest_cohort_control": true, "slug": "s01-p059", "study_id": 1, "study": "Curriculum and Ideology", "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951", "description": "Not invested in bonds [Table 3 original scale]", "source_specification_id": "CI-T3-K02-ORIG", "specification_id": "S01-P059", "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-K02-ORIG.csv", "output_dir": "analyses/full-archive/results/S01-P059" }, "source": { "file": "CI-T3-K02-ORIG.csv", "bytes": 186590, "sha256": "aebb5ca13499b7979110a2d8731ca44d2f3996379ccd4a893ad62242613e0866" }, "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": 1698, "source_sd": 0.18319166862243577, "rows": 1065, "units": 19, "clusters": 19, "treated_units": 13, "never_treated_units": 6, "treated_cohorts": 3, "latest_cohort_control_index": null, "unique_unit_period_cells": 76, "unsupported_prediction_rows_removed": 0, "initially_treated_units_removed": 10, "post_adoption_untreated_rows_removed": 0, "units_without_minus_one_removed": 0, "additional_rows_removed": 0 }, "estimates": [ { "method": "Static TWFE", "estimate": 0.14507728941205536, "se": 0.1360591792507996, "pvalue": 0.3003906344518204, "lower": -0.14077243905305567, "upper": 0.43092701787716636 }, { "method": "Dynamic TWFE", "estimate": 0.039050972989248284, "se": 0.17911146356716448, "pvalue": 0.8298613976820878, "lower": -0.3372482484788373, "upper": 0.4153501944573339 }, { "method": "BJS / did2s", "estimate": 0.0823903231716732, "se": 0.17177579073324103, "pvalue": 0.6372604561169912, "lower": -0.27849722155962514, "upper": 0.4432778679029716 }, { "method": "Sun\u2013Abraham", "estimate": -0.006545688292584825, "se": 0.18679476591388736, "pvalue": 0.9724318202068374, "lower": -0.3989869290027362, "upper": 0.3858955524175665 } ], "event_studies": { "Dynamic TWFE": [ { "event_time": -3, "estimate": 0.17793242151663252, "se": 0.21010844982573643, "pvalue": 0.4081920498950942, "lower": -0.26348905156313546, "upper": 0.6193538945964006 }, { "event_time": -2, "estimate": 0.040390781251709064, "se": 0.15283638728237095, "pvalue": 0.7945704389485669, "lower": -0.28070655334063915, "upper": 0.3614881158440573 }, { "event_time": 0, "estimate": 0.13884444857183073, "se": 0.14372181239445558, "pvalue": 0.34681360428401486, "lower": -0.1631038747510686, "upper": 0.4407927718947301 }, { "event_time": 1, "estimate": -0.05796988601807922, "se": 0.19511925533333915, "pvalue": 0.7697916498222512, "lower": -0.4679002300233102, "upper": 0.35196045798715175 }, { "event_time": 2, "estimate": -0.027623497071111374, "se": 0.29075473756148457, "pvalue": 0.9253595838091367, "lower": -0.6384765335185332, "upper": 0.5832295393763105 } ], "BJS / did2s": [ { "event_time": -3, "estimate": 0.11842241143827457, "se": 0.10174375694824948, "pvalue": 0.2596496762603892, "lower": -0.09533328999123004, "upper": 0.3321781128677792 }, { "event_time": -2, "estimate": -0.018708485206404443, "se": 0.05960220495586179, "pvalue": 0.7572138474602322, "lower": -0.14392807124513812, "upper": 0.10651110083232923 }, { "event_time": -1, "estimate": -0.016828670410503795, "se": 0.02833861776931726, "pvalue": 0.560007285246286, "lower": -0.07636589707202876, "upper": 0.042708556251021164 }, { "event_time": 0, "estimate": 0.14954487876331796, "se": 0.15081452715199223, "pvalue": 0.3345451406759163, "lower": -0.16730468531883302, "upper": 0.46639444284546894 }, { "event_time": 1, "estimate": -0.02339998553143836, "se": 0.1774224273273958, "pvalue": 0.8965355015369572, "lower": -0.3961506735366281, "upper": 0.3493507024737514 }, { "event_time": 2, "estimate": 0.11557256843953073, "se": 0.26191313566262936, "pvalue": 0.6642773323292716, "lower": -0.4346865109027284, "upper": 0.6658316477817898 } ], "Sun\u2013Abraham": [ { "event_time": -3, "estimate": 0.4489696202895566, "se": 0.24507549378311802, "pvalue": 0.08355655597937495, "lower": -0.06591488612235158, "upper": 0.9638541267014649 }, { "event_time": -2, "estimate": 0.0005681562229402914, "se": 0.13557154543766034, "pvalue": 0.9967023150345409, "lower": -0.28425709161657964, "upper": 0.2853934040624603 }, { "event_time": 0, "estimate": 0.13355328097995292, "se": 0.13082754785406261, "pvalue": 0.3208580263116492, "lower": -0.14130519777733638, "upper": 0.4084117597372422 }, { "event_time": 1, "estimate": -0.2370072038090687, "se": 0.24811495653331472, "pvalue": 0.35211457293768705, "lower": -0.7582773845033568, "upper": 0.2842629768852194 }, { "event_time": 2, "estimate": 0.08148797699960603, "se": 0.2782314389496884, "pvalue": 0.7729646313051017, "lower": -0.5030545853777733, "upper": 0.6660305393769852 } ] }, "target": { "event_times": [ 0.0, 1.0, 2.0 ], "weights": [ 0.46476190476190476, 0.3523809523809524, 0.18285714285714286 ], "weighting": "observations" }, "checks": { "did2s_vs_direct_imputation_max_post_difference": 6.245004513516506e-17, "package_aggregate_vs_estimable_cell_weights": 2.7755575615628914e-17, "saturated_vs_deviations_relative_rss_difference": 1.5439593214012336e-15 }, "inference": { "standard_errors": "Cluster-robust; did2s uses two-stage covariance", "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom" }, "f_test": { "F": 0.054356379870380084, "df_num": 1, "df_den": 1034, "pvalue": 0.8156953081194223, "log10_pvalue": -0.08847203574813349, "inference": "Homoskedastic nested-model F", "observations": 1065, "design_columns": 9, "restricted_design_columns": 8, "fixed_effect_rank": 22, "covariance_rank": 1, "rss_unrestricted": 1030.866361594386, "rss_restricted": 1030.9205532419164, "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": [ [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ], [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ], [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ], [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ], [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ] ] }, "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": -0.8399881980509777 }, { "event_time": 0.0, "cohort": 3, "estimate": -0.7412270540658192 }, { "event_time": 1.0, "cohort": 3, "estimate": -0.08877964456202102 }, { "event_time": 0.0, "cohort": 4, "estimate": 0.252822641673064 } ] } } }, "code_sha256": { "replication_engine.py": "1bbe86d78c4c03fda3c933adf831c8473a0e275698cf0bbb14447878d7e54148", "reference_f_test.py": "b801de6e92ee3f3008618673a3087b955e8d266dbf6024e91e7e0c54d3775025", "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": "Not invested in bonds [Table 3 original scale]", "d": "New Curriculum indicator (newcurr)" }, "allow_repeated_cells": true, "time_fe": null, "unit_fe": null, "frequency_weights": false, "source_sd": null, "require_never_control_periods": false, "latest_cohort_control": true, "slug": "s01-p059", "study_id": 1, "study": "Curriculum and Ideology", "citation": "Cantoni et al. (2017), JPE. https://doi.org/10.1086/690951", "description": "Not invested in bonds [Table 3 original scale]", "source_specification_id": "CI-T3-K02-ORIG", "specification_id": "S01-P059", "data": "repl-archives/twfe-microdata-replication-private/outputs/published_clustering_2026_10_08/curriculum/prepared_rows/CI-T3-K02-ORIG.csv", "output_dir": "analyses/archive-expanded/fits/S01-P059" }, "options": { "output_dir": "analyses/archive-expanded/fits/S01-P059", "regression_results": "analyses/archive-expanded/baselines/S01-P059.json", "display_window": [ -10, 10 ], "timeout_seconds": 3600 }, "source": { "file": "CI-T3-K02-ORIG.csv", "bytes": 186590, "sha256": "aebb5ca13499b7979110a2d8731ca44d2f3996379ccd4a893ad62242613e0866" }, "regressions": { "y__d": { "sample": { "outcome": "y", "treatment": "d", "source_rows": 1698, "source_sd": 0.18319166862243577, "rows": 1065, "units": 19, "clusters": 19, "treated_units": 13, "never_treated_units": 6, "treated_cohorts": 3, "latest_cohort_control_index": null, "unique_unit_period_cells": 76, "unsupported_prediction_rows_removed": 0, "initially_treated_units_removed": 10, "post_adoption_untreated_rows_removed": 0, "units_without_minus_one_removed": 0, "additional_rows_removed": 0, "rows_without_never_control_time_fe_removed": 0 }, "estimates": [ { "method": "Static TWFE", "estimate": 0.14507728941205536, "se": 0.1360591792507996, "pvalue": 0.3003906344518204, "lower": -0.14077243905305567, "upper": 0.43092701787716636 }, { "method": "Dynamic TWFE", "estimate": 0.039050972989248284, "se": 0.17911146356716448, "pvalue": 0.8298613976820878, "lower": -0.3372482484788373, "upper": 0.4153501944573339 }, { "method": "BJS / did2s", "estimate": 0.0823903231716732, "se": 0.17177579073324103, "pvalue": 0.6372604561169912, "lower": -0.27849722155962514, "upper": 0.4432778679029716 }, { "method": "Sun\u2013Abraham", "estimate": -0.006545688292584825, "se": 0.18679476591388736, "pvalue": 0.9724318202068374, "lower": -0.3989869290027362, "upper": 0.3858955524175665 } ], "event_studies": { "Dynamic TWFE": [ { "event_time": -3, "estimate": 0.17793242151663252, "se": 0.21010844982573643, "pvalue": 0.4081920498950942, "lower": -0.26348905156313546, "upper": 0.6193538945964006 }, { "event_time": -2, "estimate": 0.040390781251709064, "se": 0.15283638728237095, "pvalue": 0.7945704389485669, "lower": -0.28070655334063915, "upper": 0.3614881158440573 }, { "event_time": 0, "estimate": 0.13884444857183073, "se": 0.14372181239445558, "pvalue": 0.34681360428401486, "lower": -0.1631038747510686, "upper": 0.4407927718947301 }, { "event_time": 1, "estimate": -0.05796988601807922, "se": 0.19511925533333915, "pvalue": 0.7697916498222512, "lower": -0.4679002300233102, "upper": 0.35196045798715175 }, { "event_time": 2, "estimate": -0.027623497071111374, "se": 0.29075473756148457, "pvalue": 0.9253595838091367, "lower": -0.6384765335185332, "upper": 0.5832295393763105 } ], "BJS / did2s": [ { "event_time": -3, "estimate": 0.11842241143827457, "se": 0.10174375694824948, "pvalue": 0.2596496762603892, "lower": -0.09533328999123004, "upper": 0.3321781128677792 }, { "event_time": -2, "estimate": -0.018708485206404443, "se": 0.05960220495586179, "pvalue": 0.7572138474602322, "lower": -0.14392807124513812, "upper": 0.10651110083232923 }, { "event_time": -1, "estimate": -0.016828670410503795, "se": 0.02833861776931726, "pvalue": 0.560007285246286, "lower": -0.07636589707202876, "upper": 0.042708556251021164 }, { "event_time": 0, "estimate": 0.14954487876331796, "se": 0.15081452715199223, "pvalue": 0.3345451406759163, "lower": -0.16730468531883302, "upper": 0.46639444284546894 }, { "event_time": 1, "estimate": -0.02339998553143836, "se": 0.1774224273273958, "pvalue": 0.8965355015369572, "lower": -0.3961506735366281, "upper": 0.3493507024737514 }, { "event_time": 2, "estimate": 0.11557256843953073, "se": 0.26191313566262936, "pvalue": 0.6642773323292716, "lower": -0.4346865109027284, "upper": 0.6658316477817898 } ], "Sun\u2013Abraham": [ { "event_time": -3, "estimate": 0.4489696202895566, "se": 0.24507549378311802, "pvalue": 0.08355655597937495, "lower": -0.06591488612235158, "upper": 0.9638541267014649 }, { "event_time": -2, "estimate": 0.0005681562229402914, "se": 0.13557154543766034, "pvalue": 0.9967023150345409, "lower": -0.28425709161657964, "upper": 0.2853934040624603 }, { "event_time": 0, "estimate": 0.13355328097995292, "se": 0.13082754785406261, "pvalue": 0.3208580263116492, "lower": -0.14130519777733638, "upper": 0.4084117597372422 }, { "event_time": 1, "estimate": -0.2370072038090687, "se": 0.24811495653331472, "pvalue": 0.35211457293768705, "lower": -0.7582773845033568, "upper": 0.2842629768852194 }, { "event_time": 2, "estimate": 0.08148797699960603, "se": 0.2782314389496884, "pvalue": 0.7729646313051017, "lower": -0.5030545853777733, "upper": 0.6660305393769852 } ] }, "target": { "event_times": [ 0.0, 1.0, 2.0 ], "weights": [ 0.46476190476190476, 0.3523809523809524, 0.18285714285714286 ], "weighting": "observations" }, "checks": { "did2s_vs_direct_imputation_max_post_difference": 6.245004513516506e-17, "package_aggregate_vs_estimable_cell_weights": 2.7755575615628914e-17, "saturated_vs_deviations_relative_rss_difference": 1.5439593214012336e-15 }, "inference": { "standard_errors": "Cluster-robust; did2s uses two-stage covariance", "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom" }, "f_test": { "F": 0.054356379870380084, "df_num": 1, "df_den": 1034, "pvalue": 0.8156953081194223, "log10_pvalue": -0.08847203574813349, "inference": "Homoskedastic nested-model F", "observations": 1065, "design_columns": 9, "restricted_design_columns": 8, "fixed_effect_rank": 22, "covariance_rank": 1, "rss_unrestricted": 1030.866361594386, "rss_restricted": 1030.9205532419164, "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": [ [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ], [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ], [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ], [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ], [ -0.14206395680109857, -0.17364147139439193, -0.009178380814945177, -0.10368974606092793, -0.15285706302083465, -0.22278610001582055 ] ] }, "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": -0.8399881980509777 }, { "event_time": 0.0, "cohort": 3, "estimate": -0.7412270540658192 }, { "event_time": 1.0, "cohort": 3, "estimate": -0.08877964456202102 }, { "event_time": 0.0, "cohort": 4, "estimate": 0.252822641673064 } ] } } }, "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": -0.014016656278240114, "se": 0.22683327612327578, "lower": -0.45860170797509003, "upper": 0.4305683954186098 }, { "typec": "simple", "aggregation": "Native CS-DID simple", "matches_treated_unit_year_target": false, "estimate": 0.013231048582504084, "se": 0.20437908255983303, "lower": -0.3873445924281069, "upper": 0.41380668959311506 }, { "typec": "group", "aggregation": "Native CS-DID group", "matches_treated_unit_year_target": false, "estimate": 0.07103068505675375, "se": 0.19889900305277036, "lower": -0.3188041974875984, "upper": 0.4608655676011059 }, { "typec": "treated_cells", "aggregation": "Observed treated observations, configured weights", "matches_treated_unit_year_target": true, "weight_sum": 525.0, "post_cells": 6, "estimate": 0.019443036114523984, "se": 0.20076384736839017, "lower": -0.37404687412521725, "upper": 0.4129329463542652 } ], "same_group_time_effects": true, "additional_covariates": [] }, "estimate": -0.014016656278240114, "se": 0.22683327612327578, "lower": -0.45860170797509003, "upper": 0.4305683954186098, "event_study": [ { "event_time": -3, "estimate": 0.5712796899589055, "se": 0.32034131224058926, "lower": -0.056577744792949414, "upper": 1.1991371247107605, "relative_to_minus_one": 0.5712796899589055, "n": 0.0 }, { "event_time": -2, "estimate": 0.0870365903084958, "se": 0.23158436037302282, "lower": -0.3668604154053738, "upper": 0.5409335960223653, "relative_to_minus_one": 0.0870365903084958, "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": 0.16255891541047682, "se": 0.16472562230335047, "lower": -0.16029737163503796, "upper": 0.48541520245599157, "relative_to_minus_one": 0.16255891541047682, "n": 244.0 }, { "event_time": 1, "estimate": -0.12791625350242386, "se": 0.22951322240002286, "lower": -0.5777539033822003, "upper": 0.32192139637735256, "relative_to_minus_one": -0.12791625350242386, "n": 185.0 }, { "event_time": 2, "estimate": -0.0766926307427733, "se": 0.36329459581759005, "lower": -0.7887369543232856, "upper": 0.635351692837739, "relative_to_minus_one": -0.0766926307427733, "n": 96.0 } ], "group_time_estimates": [ { "group": 2, "year": 1, "att": 0.0, "se": null, "event_time": -1, "mass": 0.0 }, { "group": 2, "year": 2, "att": 0.16938673812969268, "se": 0.25166240554304997, "event_time": 0, "mass": 89.0 }, { "group": 2, "year": 3, "att": -0.01872885729241499, "se": 0.23381615138702389, "event_time": 1, "mass": 114.0 }, { "group": 2, "year": 4, "att": -0.0766926307427733, "se": 0.36329459581759005, "event_time": 2, "mass": 96.0 }, { "group": 3, "year": 1, "att": -0.1891931525102671, "se": 0.1940677344296071, "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": -0.11421368714785005, "se": 0.2488517922018393, "event_time": 0, "mass": 91.0 }, { "group": 3, "year": 4, "att": -0.27868034506642186, "se": 0.3443778921547281, "event_time": 1, "mass": 71.0 }, { "group": 4, "year": 1, "att": 0.5712796899589055, "se": 0.32034131224058926, "event_time": -3, "mass": 0.0 }, { "group": 4, "year": 2, "att": 0.48104957372003077, "se": 0.34587521125431014, "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": 0.5438985403030359, "se": 0.10189506036802264, "event_time": 0, "mass": 64.0 } ], "treated_cell_att": 0.019443036114523984, "treated_cell_se": 0.20076384736839017, "checks": { "input_rows": 1065, "retained_rows": 1065, "all_observed_post_cells_estimated": true, "dynamic_cluster_se_error": 2.7755575615628914e-17 }, "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": 0.04527754196897149, "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": 0.11841243863922842, "event_study": [ { "event_time": -3, "estimate": 0.3831997802244081, "raw_gap": -0.03377684460188945, "n": 44, "n_cells": 4, "weight_sum": 44.0, "relative_to_minus_one": 0.20501342069632902 }, { "event_time": -2, "estimate": 0.2942244182763687, "raw_gap": -0.0385754034915811, "n": 113, "n_cells": 8, "weight_sum": 113.0, "relative_to_minus_one": 0.11603805874828962 }, { "event_time": -1, "estimate": 0.17818635952807907, "raw_gap": -0.0033547872690972438, "n": 184, "n_cells": 13, "weight_sum": 184.0, "relative_to_minus_one": 0.0 }, { "event_time": 0, "estimate": 0.4228308521325552, "raw_gap": 0.20721899721381132, "n": 244, "n_cells": 13, "weight_sum": 244.0, "relative_to_minus_one": 0.24464449260447615 }, { "event_time": 1, "estimate": -0.17472031728086174, "raw_gap": -0.2840471952969961, "n": 185, "n_cells": 9, "weight_sum": 185.0, "relative_to_minus_one": -0.35290667680894083 }, { "event_time": 2, "estimate": -0.09042644726863676, "raw_gap": -0.09042644726863695, "n": 96, "n_cells": 5, "weight_sum": 96.0, "relative_to_minus_one": -0.26861280679671584 } ], "package_event_study": { "event_time": [ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0 ], "estimate": [ 0.025300682798204077, 0.053405066556406644, -0.040649481818774987, 0.27365974376434793, -0.28224449963958914, -0.05683608287189461 ], "n": [ 4.0, 8.0, 13.0, 13.0, 9.0, 5.0 ] }, "sdid_pre_gap_correction": [ { "cohort": 1, "pre_gap": -1.7763568394002506e-16 }, { "cohort": 2, "pre_gap": -0.2848658089152796 }, { "cohort": 3, "pre_gap": -0.4169766248262976 } ], "diagnostics": { "converged": true, "pre_rmse": 0.2858369966557551, "zeta_omega": [ 0.0, 2.33837288490004, 2.822773053856201 ], "zeta_lambda": [ 0.0, 1.3904048361262833e-06, 1.996001968132379e-06 ] }, "checks": { "scalar_vs_treated_cell_average": 1.3877787807814457e-17, "native_scalar_vs_unweighted_matrix_average": 2.220446049250313e-16 }, "native_matrix_att": 0.17333439734993272, "matrix_preparation": { "source_rows": 1065, "matrix_shape": [ 19, 4 ], "observed_cells": 76, "missing_cells": 0, "repeated_cells": 76, "minimum_cell_count": 2, "maximum_cell_count": 44, "observation_mass": 1065.0, "treated_observation_mass": 525.0, "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": 0.0003188750706613064, "crabbymetrics": "0.9.1", "normalization": "Original source outcome / source SD; no mean subtraction", "target": "All observed treated observations, using configured observation weights; cell mass equals sum of row weights", "status": "estimated" }, { "method": "Matrix completion", "class": "MatrixCompletion", "parameters": { "lambda_fraction": 0.25, "max_iterations": 1000, "tolerance": 1e-12 }, "partial_pooling": { "parameter": null, "value": null, "status": "not_applicable", "fit_scope": "Joint untreated-cell fit", "within_cohort_target": null, "cross_cohort_partial_pooling": false, "shared_structure": "Low-rank matrix and unit/time effects", "note": "Regularization penalties are not partial-pooling parameters." }, "estimate": 0.08146519829226548, "event_study": [ { "event_time": -3, "estimate": 0.0720320316058598, "raw_gap": 0.0720320316058598, "n": 44, "n_cells": 4, "weight_sum": 44.0, "relative_to_minus_one": 0.0764397895945189 }, { "event_time": -2, "estimate": -0.052699272530953085, "raw_gap": -0.052699272530953085, "n": 113, "n_cells": 8, "weight_sum": 113.0, "relative_to_minus_one": -0.048291514542293995 }, { "event_time": -1, "estimate": -0.004407757988659092, "raw_gap": -0.004407757988659092, "n": 184, "n_cells": 13, "weight_sum": 184.0, "relative_to_minus_one": 0.0 }, { "event_time": 0, "estimate": 0.23737622895073987, "raw_gap": 0.23737622895073987, "n": 244, "n_cells": 13, "weight_sum": 244.0, "relative_to_minus_one": 0.24178398693939895 }, { "event_time": 1, "estimate": -0.08451415390448469, "raw_gap": -0.08451415390448469, "n": 185, "n_cells": 9, "weight_sum": 185.0, "relative_to_minus_one": -0.08010639591582559 }, { "event_time": 2, "estimate": 0.00504737199779709, "raw_gap": 0.00504737199779709, "n": 96, "n_cells": 5, "weight_sum": 96.0, "relative_to_minus_one": 0.009455129986456182 } ], "package_event_study": { "event_time": [ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0 ], "estimate": [ 0.0836078121306949, -0.02874504974274228, -0.008036347670634282, 0.30368531196274523, -0.00923280724367221, 0.11167397068533305 ], "n": [ 4.0, 8.0, 13.0, 13.0, 9.0, 5.0 ] }, "sdid_pre_gap_correction": [], "diagnostics": { "converged": true, "iterations": 23, "termination_reason": "Relative objective tolerance reached", "objective": 0.18635159400243176, "lambda_l": 0.04335178518540014, "singular_values": [ 3.337755432161912, 0.0, 0.0, 0.0 ], "history_objective": [ 0.19133824618205292, 0.1872111089516661, 0.18656780518124935, 0.1864145748050094, 0.18637079424915765, 0.18635753606527067, 0.18635344368499926, 0.1863521713544038, 0.18635177450322954, 0.18635165050600905, 0.18635161171614098, 0.18635159956754277, 0.18635159575698962, 0.18635159455894984, 0.18635159418078634, 0.1863515940605927, 0.18635159402193063, 0.18635159400923743, 0.18635159400492735, 0.1863515940033862, 0.18635159400279375, 0.18635159400254556, 0.18635159400243176 ], "history_rmse": [ 0.2299522355314319, 0.21259502699285654, 0.20780589341239736, 0.20592719745905028, 0.20505478463067514, 0.20461313851426574, 0.20437884571168236, 0.2042513901008745, 0.20418113153008963, 0.20414213548504956, 0.20412041423774865, 0.2041082928554365, 0.204101521978707, 0.20409773780134002, 0.20409562218746177, 0.20409443916103284, 0.20409377751212968, 0.20409340739956178, 0.20409320032724323, 0.2040930844467383, 0.20409301957931814, 0.20409298325394437, 0.20409296290158108 ] }, "checks": { "scalar_vs_treated_cell_average": 1.3877787807814457e-17, "native_scalar_vs_unweighted_matrix_average": 0.0 }, "native_matrix_att": 0.16382161643515938, "matrix_preparation": { "source_rows": 1065, "matrix_shape": [ 19, 4 ], "observed_cells": 76, "missing_cells": 0, "repeated_cells": 76, "minimum_cell_count": 2, "maximum_cell_count": 44, "observation_mass": 1065.0, "treated_observation_mass": 525.0, "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": 0.00021500000730156898, "crabbymetrics": "0.9.1", "normalization": "Original source outcome / source SD; no mean subtraction", "target": "All observed treated observations, using configured observation weights; cell mass equals sum of row weights", "status": "estimated" }, { "method": "Horizontal ridge", "class": "HorizontalPanelRidge", "parameters": { "penalty": 1.0 }, "partial_pooling": { "parameter": null, "value": null, "status": "not_applicable", "fit_scope": "Separate adoption-cohort fits", "within_cohort_target": "Mean treated outcome history", "cross_cohort_partial_pooling": false, "shared_structure": null, "note": "Regularization penalties are not partial-pooling parameters." }, "estimate": 0.20760114513306543, "event_study": [ { "event_time": -3, "estimate": -0.013918575182042859, "raw_gap": -0.013918575182042859, "n": 44, "n_cells": 4, "weight_sum": 44.0, "relative_to_minus_one": -0.04136936311415657 }, { "event_time": -2, "estimate": -0.010396225746956823, "raw_gap": -0.010396225746956823, "n": 113, "n_cells": 8, "weight_sum": 113.0, "relative_to_minus_one": -0.037847013679070535 }, { "event_time": -1, "estimate": 0.027450787932113713, "raw_gap": 0.027450787932113713, "n": 184, "n_cells": 13, "weight_sum": 184.0, "relative_to_minus_one": 0.0 }, { "event_time": 0, "estimate": 0.23833581169198156, "raw_gap": 0.23833581169198156, "n": 244, "n_cells": 13, "weight_sum": 244.0, "relative_to_minus_one": 0.21088502375986784 }, { "event_time": 1, "estimate": 0.1870591328335749, "raw_gap": 0.1870591328335749, "n": 185, "n_cells": 9, "weight_sum": 185.0, "relative_to_minus_one": 0.15960834490146117 }, { "event_time": 2, "estimate": 0.1690700371646303, "raw_gap": 0.1690700371646303, "n": 96, "n_cells": 5, "weight_sum": 96.0, "relative_to_minus_one": 0.14161924923251656 } ], "package_event_study": { "event_time": [ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0 ], "estimate": [ 0.04515895221805066, -0.01267729405735507, -0.006093650492853127, 0.2504233312324874, 0.185260949157049, 0.2026604015613726 ], "n": [ 4.0, 8.0, 13.0, 13.0, 9.0, 5.0 ] }, "sdid_pre_gap_correction": [], "diagnostics": { "pre_rmse": 0.023126047258739197, "penalty": 1.0 }, "checks": { "scalar_vs_treated_cell_average": 2.7755575615628914e-17, "native_scalar_vs_unweighted_matrix_average": 0.0 }, "native_matrix_att": 0.2198575502312089, "matrix_preparation": { "source_rows": 1065, "matrix_shape": [ 19, 4 ], "observed_cells": 76, "missing_cells": 0, "repeated_cells": 76, "minimum_cell_count": 2, "maximum_cell_count": 44, "observation_mass": 1065.0, "treated_observation_mass": 525.0, "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": 0.00015645800158381462, "crabbymetrics": "0.9.1", "normalization": "Original source outcome / source SD; no mean subtraction", "target": "All observed treated observations, using configured observation weights; cell mass equals sum of row weights", "status": "estimated" }, { "method": "Multisynth (cohort-averaged)", "status": "unsupported", "reason": "multisynth-cohort: requires one observation per unit-period; no observations collapsed." }, { "method": "Multisynth (individual)", "status": "unsupported", "reason": "multisynth-individual: requires one observation per unit-period; no observations collapsed." } ] }, "combined_table": [ { "Outcome / treatment": "y__d", "Estimator": "Static TWFE", "Estimate (SDs)": 0.14507728941205536, "SE": 0.1360591792507996, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.039050972989248284, "SE": 0.17911146356716448, "Aggregation": "observations", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.0823903231716732, "SE": 0.17177579073324103, "Aggregation": "observations", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": -0.006545688292584825, "SE": 0.18679476591388736, "Aggregation": "observations", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID", "Estimate (SDs)": -0.014016656278240114, "SE": 0.22683327612327578, "Aggregation": "Equal post-event times", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (treated cells)", "Estimate (SDs)": 0.019443036114523984, "SE": 0.20076384736839017, "Aggregation": "Treated cells", "Event study": "Same CS-DID path", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "SDID", "Estimate (SDs)": 0.11841243863922842, "SE": null, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Matrix completion", "Estimate (SDs)": 0.08146519829226548, "SE": null, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Horizontal ridge", "Estimate (SDs)": 0.20760114513306543, "SE": null, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "" }, { "Outcome / treatment": "y__d", "Estimator": "Multisynth (cohort-averaged)", "Estimate (SDs)": null, "SE": null, "Aggregation": "Treated cells", "Event study": "No", "Status": "unsupported", "Note": "multisynth-cohort: requires one observation per unit-period; no observations collapsed." }, { "Outcome / treatment": "y__d", "Estimator": "Multisynth (individual)", "Estimate (SDs)": null, "SE": null, "Aggregation": "Treated cells", "Event study": "No", "Status": "unsupported", "Note": "multisynth-individual: requires one observation per unit-period; no observations collapsed." } ], "adapter_sha256": { "validate_template.py": "acaff11c7459081dc8abf2f6a6eaf882aed70c073f4681e9f5ce6d63eae93e39", "mtgpax_worker.py": "7279b1b2aaa3f5909cd39ac1964d2e9c75907219011fe661a015511131affa85", "csdid_general.py": "07619c3b3dfee796ae9e4842afdbc6e367a74cece254ede73f7c403dfc924f6d", "runner.py": "cbb7d135d08e454e57f87bee2bba8365431617b1f8295727611cadb00414f0f4", "matrix_inputs.py": "3f675276f9022147996dd5b62762721be2dd436d5db171491a286b05628176ae", "csdid_model.py": "b9fd5536d4886e99a707d2b162db5b11da3ff463930eca5b7590d27500096a3f", "multisynth_model.R": "3ae0740c5b75b14f563dacc9961688e8286655866a6b435045a3ef6f453c1604", "csdid_streaming.py": "378198e98c44bd46862601bdcb514b19d9ea4038cddc38dad7fdba9b0aa0216b", "multisynth_sparse.R": "f9ab3d8d7f7b52a79ccd694c7173f626276a0830f23bb79e527c88c0f0292540", "matrix_models.py": "98784341a7fbdc8ef51833554c0439ef6755c5f702e9128d5fa2b1292c5f093c", "csdid_aggregations.py": "cbed0fb13450d9398f9a59d53dbfdf8e275a74daa01158c38c0f3396a3e8c6ee", "bootstrap_matrix.py": "c6a1f4bb0085e0a21f9a41677fb4def7990be5f6199077a53e951de489ab9550", "eligibility.py": "a7b9e165017d6ac92b40068a0a274585962dbb40b09a4101ccd1ddb072ca51dd" }, "scalar_ranges": [ { "Outcome / treatment": "y__d", "Estimator": "Static TWFE", "Estimate (SDs)": 0.14507728941205536, "SE": 0.1360591792507996, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "", "lower": -0.14077243905305567, "upper": 0.43092701787716636, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.039050972989248284, "SE": 0.17911146356716448, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.3372482484788373, "upper": 0.4153501944573339, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.0823903231716732, "SE": 0.17177579073324103, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.27849722155962514, "upper": 0.4432778679029716, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": -0.006545688292584825, "SE": 0.18679476591388736, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.3989869290027362, "upper": 0.3858955524175665, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (equal event-time)", "Estimate (SDs)": -0.014016656278240114, "SE": 0.22683327612327578, "Aggregation": "Equal post-event times", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.45860170797509003, "upper": 0.4305683954186098, "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)": 0.019443036114523984, "SE": 0.20076384736839017, "Aggregation": "Treated cells", "Event study": "Same CS-DID path", "Status": "estimated", "Note": "", "lower": -0.37404687412521725, "upper": 0.4129329463542652, "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)": 0.11841243863922842, "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)": 0.08146519829226548, "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)": 0.20760114513306543, "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": 1791588674.761835, "scalar_ranges": [ { "Outcome / treatment": "y__d", "Estimator": "Static TWFE", "Estimate (SDs)": 0.14507728941205536, "SE": 0.1360591792507996, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "", "lower": -0.14077243905305567, "upper": 0.43092701787716636, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.039050972989248284, "SE": 0.17911146356716448, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.3372482484788373, "upper": 0.4153501944573339, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.0823903231716732, "SE": 0.17177579073324103, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.27849722155962514, "upper": 0.4432778679029716, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": -0.006545688292584825, "SE": 0.18679476591388736, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.3989869290027362, "upper": 0.3858955524175665, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (equal event-time)", "Estimate (SDs)": -0.014016656278240114, "SE": 0.22683327612327578, "Aggregation": "Equal post-event times", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.45860170797509003, "upper": 0.4305683954186098, "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)": 0.019443036114523984, "SE": 0.20076384736839017, "Aggregation": "Treated cells", "Event study": "Same CS-DID path", "Status": "estimated", "Note": "", "lower": -0.37404687412521725, "upper": 0.4129329463542652, "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)": 0.11841243863922842, "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)": 0.08146519829226548, "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)": 0.20760114513306543, "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" } ] }