{ "study_id": 12, "specification_id": "S12-P002", "source_specification_id": "LOCAL-ELECTIONS-T5-C3-ONE-CHILD", "role": "active_comparison", "published_source_location": "Main-text Equation (1), Table 5 column 3, panel D", "outcome_label": "Number of one-child-policy exemptions granted by the village government", "outcome_variable": "", "treatment_label": "Post-first-election indicator equal to one in and after the village's first election", "unit_fixed_effects": "Village fixed effects", "time_fixed_effects": "Province-by-calendar-year fixed effects (saturated; common calendar-year effects nested)", "allowed_adjustments": "None; baseline province-specific linear trends are replaced by the province-by-year effects", "published_weights": "", "published_clustering": "Village", "panel_structure": "Balanced annual village panel: 217 villages, 1986-2005", "design": "panel", "descriptive_metadata_status": "recorded_source_fields", "title": "The Rise and Fall of Local Elections in China", "status": "ready", "reason": "", "config": "analyses/full-archive/configs/S12-P002.json", "input_bytes": 174985, "specification_type": "twfe_scalar", "run_status": "completed", "expanded_status": "unsupported", "expanded_reason": "No enabled adapter supports this specification; per-estimator reasons below.", "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": "Number of one-child-policy exemptions granted by the village government", "d": "Post-first-election indicator equal to one in and after the village's first election" }, "allow_repeated_cells": true, "time_fe": "archive_time_fe", "latest_cohort_control": true, "slug": "s12-p002", "study_id": 12, "study": "The Rise and Fall of Local Elections in China", "citation": "Martinez-Bravo et al. (2022), AER. https://doi.org/10.1257/aer.20181249", "description": "Number of one-child-policy exemptions granted by the village government", "source_specification_id": "LOCAL-ELECTIONS-T5-C3-ONE-CHILD", "specification_id": "S12-P002", "data": "analyses/full-archive/prepared/S12-P002.parquet", "output_dir": "analyses/full-archive/results/S12-P002" }, "source": { "file": "S12-P002.parquet", "bytes": 58076, "sha256": "b7012683c15cc7f43b7bf58490253b3d5d05a80e3c19fcfc88f951bc0565c8c7" }, "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": 4340, "source_sd": 0.49752782927655886, "rows": 195, "units": 13, "clusters": 13, "treated_units": 11, "never_treated_units": 2, "treated_cohorts": 8, "latest_cohort_control_index": 16, "unique_unit_period_cells": 195, "unsupported_prediction_rows_removed": 806, "initially_treated_units_removed": 106, "post_adoption_untreated_rows_removed": 0, "units_without_minus_one_removed": 0, "additional_rows_removed": 1470 }, "estimates": [ { "method": "Static TWFE", "estimate": -0.13470016920109934, "se": 0.21610578173287492, "pvalue": 0.5447481902658714, "lower": -0.6055542190059531, "upper": 0.33615388060375434 }, { "method": "Dynamic TWFE", "estimate": 0.30120131393799965, "se": 0.29645301951982916, "pvalue": 0.32966930729415506, "lower": -0.3447143283853934, "upper": 0.9471169562613927 }, { "method": "BJS / did2s", "estimate": 0.3185765550991104, "se": 0.19655863703917784, "pvalue": 0.1310301493454505, "lower": -0.10968792506375435, "upper": 0.7468410352619752 }, { "method": "Sun\u2013Abraham", "estimate": 0.45462879236198217, "se": 0.10107728687766834, "pvalue": 0.0007293994179368787, "lower": 0.2344003029249634, "upper": 0.674857281799001 } ], "event_studies": { "Dynamic TWFE": [ { "event_time": -12, "estimate": -0.734886970406945, "se": 0.862970711735195, "pvalue": 0.4111206931224379, "lower": -2.6151386287626472, "upper": 1.1453646879487573 }, { "event_time": -11, "estimate": -0.6878830542683353, "se": 0.8046523591343729, "pvalue": 0.4093599216793117, "lower": -2.4410699377723093, "upper": 1.065303829235639 }, { "event_time": -10, "estimate": -0.4158759796978739, "se": 0.7192968054966303, "pvalue": 0.5738395283576535, "lower": -1.983089087852585, "upper": 1.1513371284568372 }, { "event_time": -9, "estimate": -0.36706012108187347, "se": 0.6663584774506875, "pvalue": 0.5918478645588676, "lower": -1.818930520908952, "upper": 1.0848102787452052 }, { "event_time": -8, "estimate": -0.31082705911835923, "se": 0.5612430082714008, "pvalue": 0.5898736037090045, "lower": -1.5336705261011179, "upper": 0.9120164078643993 }, { "event_time": -7, "estimate": -0.051823387597469454, "se": 0.4530463744047904, "pvalue": 0.9108213166417136, "lower": -1.0389266405848494, "upper": 0.9352798653899106 }, { "event_time": -6, "estimate": -0.0041994039828630435, "se": 0.3885552988703287, "pvalue": 0.9915544428155474, "lower": -0.8507886741967196, "upper": 0.8423898662309935 }, { "event_time": -5, "estimate": 0.021967845856019737, "se": 0.36404764630163167, "pvalue": 0.952875531923368, "lower": -0.7712238365161327, "upper": 0.8151595282281722 }, { "event_time": -4, "estimate": 0.06313136781295756, "se": 0.30902692123128384, "pvalue": 0.841550030603714, "lower": -0.6101804528783277, "upper": 0.7364431885042428 }, { "event_time": -3, "estimate": 0.08165487081448666, "se": 0.2695641355965939, "pvalue": 0.7671419660884401, "lower": -0.5056749262415287, "upper": 0.6689846678705019 }, { "event_time": -2, "estimate": 0.12287333226875023, "se": 0.11298939396367746, "pvalue": 0.29818652434541015, "lower": -0.12330940891563512, "upper": 0.36905607345313557 }, { "event_time": 0, "estimate": -0.07875060045899557, "se": 0.07955374918453685, "pvalue": 0.3417617830226512, "lower": -0.2520833298303933, "upper": 0.09458212891240214 }, { "event_time": 1, "estimate": -0.00464411985051999, "se": 0.08893188673667218, "pvalue": 0.9592117777792669, "lower": -0.19841005563889416, "upper": 0.18912181593785418 }, { "event_time": 2, "estimate": -0.020274750600314632, "se": 0.14525439090907705, "pvalue": 0.8913063801550318, "lower": -0.33675688107851054, "upper": 0.29620737987788126 }, { "event_time": 3, "estimate": 0.3605830030113165, "se": 0.4359729982361135, "pvalue": 0.4243353731386317, "lower": -0.5893205589340156, "upper": 1.3104865649566486 }, { "event_time": 4, "estimate": 0.23128539787460461, "se": 0.4699372156483601, "pvalue": 0.631485094813576, "lower": -0.7926198367181374, "upper": 1.2551906324673465 }, { "event_time": 5, "estimate": 0.3179003594106214, "se": 0.48066216168294407, "pvalue": 0.5208657045500246, "lower": -0.7293725251997609, "upper": 1.3651732440210036 }, { "event_time": 6, "estimate": 0.6338481070532562, "se": 0.49697911467259565, "pvalue": 0.2263049613793282, "lower": -0.4489763640720559, "upper": 1.7166725781785683 }, { "event_time": 7, "estimate": 0.8649338061891241, "se": 0.5244400770783216, "pvalue": 0.12500826243366475, "lower": -0.2777229621407933, "upper": 2.0075905745190417 }, { "event_time": 8, "estimate": 0.7944268885590937, "se": 0.5835626297622398, "pvalue": 0.19842102879977006, "lower": -0.4770468560812213, "upper": 2.0659006331994085 }, { "event_time": 9, "estimate": 0.5852508383644633, "se": 0.4601412631722864, "pvalue": 0.22750735063913677, "lower": -0.41731084929459883, "upper": 1.5878125260235256 }, { "event_time": 10, "estimate": 0.5532892862745354, "se": 0.4650153684028775, "pvalue": 0.2571217605616688, "lower": -0.45989216439408687, "upper": 1.5664707369431579 }, { "event_time": 11, "estimate": 0.5092399708618935, "se": 0.4750659772186172, "pvalue": 0.3048342575488816, "lower": -0.525839875240429, "upper": 1.544319816964216 }, { "event_time": 12, "estimate": 0.7113569017732774, "se": 0.526235513563775, "pvalue": 0.20137486931233622, "lower": -0.43521178660599824, "upper": 1.8579255901525529 }, { "event_time": 13, "estimate": 0.7368935811213165, "se": 0.5551174013011, "pvalue": 0.20905922835614954, "lower": -0.47260333480505146, "upper": 1.9463904970476844 } ], "BJS / did2s": [ { "event_time": -12, "estimate": -0.22530141971651943, "se": 0.1757234720565084, "pvalue": 0.2240111285178927, "lower": -0.6081699751069106, "upper": 0.1575671356738718 }, { "event_time": -11, "estimate": -0.22530141957178565, "se": 0.175723472056508, "pvalue": 0.22401112879729157, "lower": -0.6081699749621761, "upper": 0.15756713581860474 }, { "event_time": -10, "estimate": -0.13108558436404505, "se": 0.10927658542329947, "pvalue": 0.25345333506493, "lower": -0.3691788106665568, "upper": 0.10700764193846668 }, { "event_time": -9, "estimate": -0.1310855843278616, "se": 0.10927658543220095, "pvalue": 0.25345333522543484, "lower": -0.369178810649768, "upper": 0.10700764199404478 }, { "event_time": -8, "estimate": -0.08460577231286473, "se": 0.07409559299831033, "pvalue": 0.27579110852808675, "lower": -0.24604620095938454, "upper": 0.07683465633365508 }, { "event_time": -7, "estimate": 0.1647222285415366, "se": 0.15699646052979851, "pvalue": 0.3147537636378466, "lower": -0.17734367387313307, "upper": 0.5067881309562062 }, { "event_time": -6, "estimate": 0.11290707979127437, "se": 0.10900717167681223, "pvalue": 0.3207288653778321, "lower": -0.12459914438390224, "upper": 0.350413303966451 }, { "event_time": -5, "estimate": 0.07217279579452734, "se": 0.07545458610326239, "pvalue": 0.3576902680375964, "lower": -0.09222862446449132, "upper": 0.236574216053546 }, { "event_time": -4, "estimate": 0.044287588269944014, "se": 0.04958039143769731, "pvalue": 0.38928703359499134, "lower": -0.06373880469443409, "upper": 0.1523139812343221 }, { "event_time": -3, "estimate": 0.014107925412957715, "se": 0.026683458157318325, "pvalue": 0.6066446300434039, "lower": -0.04403033556009611, "upper": 0.07224618638601155 }, { "event_time": -2, "estimate": 0.01744452852886954, "se": 0.07702401207685874, "pvalue": 0.8246387896316951, "lower": -0.15037637717663382, "upper": 0.18526543423437292 }, { "event_time": -1, "estimate": -0.03268755795782061, "se": 0.09924468556069511, "pvalue": 0.7475587493677182, "lower": -0.24892315213375305, "upper": 0.18354803621811183 }, { "event_time": 0, "estimate": 0.07178349368089294, "se": 0.15908161998407677, "pvalue": 0.6598649669409744, "lower": -0.2748255809046601, "upper": 0.41839256826644594 }, { "event_time": 1, "estimate": 0.06176177217753983, "se": 0.16495067492959942, "pvalue": 0.7146203304403782, "lower": -0.29763487462133986, "upper": 0.4211584189764195 }, { "event_time": 2, "estimate": 0.06100043208678864, "se": 0.1689267832109853, "pvalue": 0.7242978385538383, "lower": -0.3070594104477207, "upper": 0.429060274621298 }, { "event_time": 3, "estimate": 0.20321565203279346, "se": 0.3380462556988707, "pvalue": 0.5589265473571976, "lower": -0.5333238669048744, "upper": 0.9397551709704614 }, { "event_time": 4, "estimate": 0.1156298199863234, "se": 0.36180727910788013, "pvalue": 0.7547748701195798, "lower": -0.6726805216009176, "upper": 0.9039401615735644 }, { "event_time": 5, "estimate": 0.2322274690802891, "se": 0.4277505376537747, "pvalue": 0.5971356857859704, "lower": -0.6997608902568101, "upper": 1.1642158284173882 }, { "event_time": 6, "estimate": 0.6939369461635391, "se": 0.36162083690015734, "pvalue": 0.07908275963884702, "lower": -0.09396717274952404, "upper": 1.481841065076602 }, { "event_time": 7, "estimate": 0.8319257462685026, "se": 0.39132127797287125, "pvalue": 0.05495077033194235, "lower": -0.020690074700565053, "upper": 1.68454156723757 }, { "event_time": 8, "estimate": 0.6374792013548882, "se": 0.41103202192149174, "pvalue": 0.14688146332624033, "lower": -0.25808264141171944, "upper": 1.5330410441214959 }, { "event_time": 9, "estimate": 0.368216405242073, "se": 0.33747608045591687, "pvalue": 0.2966571855318493, "lower": -0.3670808085610885, "upper": 1.1035136190452346 }, { "event_time": 10, "estimate": 0.368216405242073, "se": 0.33747608045591687, "pvalue": 0.2966571855318493, "lower": -0.3670808085610885, "upper": 1.1035136190452346 }, { "event_time": 11, "estimate": 0.8663773920383702, "se": 0.6180815083565238, "pvalue": 0.1863307327653376, "lower": -0.4803065281488961, "upper": 2.213061312225636 }, { "event_time": 12, "estimate": 1.7327547840767374, "se": 0.16394948313029378, "pvalue": 1.9636075337329141e-07, "lower": 1.3755395468151426, "upper": 2.0899700213383325 }, { "event_time": 13, "estimate": 1.7327547840767374, "se": 0.16394948313029373, "pvalue": 1.9636075337329075e-07, "lower": 1.3755395468151426, "upper": 2.089970021338332 } ], "Sun\u2013Abraham": [ { "event_time": -12, "estimate": -1.3399585459090644, "se": 1.0893306440387174, "pvalue": 0.24223904144036426, "lower": -3.7134061288902864, "upper": 1.0334890370721577 }, { "event_time": -11, "estimate": -1.3399585459090153, "se": 1.0893306440386934, "pvalue": 0.24223904144037087, "lower": -3.7134061288901856, "upper": 1.0334890370721548 }, { "event_time": -10, "estimate": -1.0049689094317753, "se": 0.8169979830290203, "pvalue": 0.2422390414403647, "lower": -2.785054596667653, "upper": 0.7751167778041026 }, { "event_time": -9, "estimate": -1.0049689094317638, "se": 0.8169979830290113, "pvalue": 0.24223904144036496, "lower": -2.785054596667622, "upper": 0.7751167778040946 }, { "event_time": -8, "estimate": -0.8039751275454201, "se": 0.6535983864232148, "pvalue": 0.24223904144036393, "lower": -2.228043677334119, "upper": 0.620093422243279 }, { "event_time": -7, "estimate": -0.3349896364772624, "se": 0.5446653220193545, "pvalue": 0.5500154332296319, "lower": -1.5217134279678644, "upper": 0.8517341550133395 }, { "event_time": -6, "estimate": -0.251242227357968, "se": 0.408498991514499, "pvalue": 0.5500154332295824, "lower": -1.1412850709758826, "upper": 0.6388006162599467 }, { "event_time": -5, "estimate": -0.2512422273579536, "se": 0.40849899151451835, "pvalue": 0.5500154332296234, "lower": -1.1412850709759104, "upper": 0.6388006162600033 }, { "event_time": -4, "estimate": -0.22332642431818286, "se": 0.36311021467956167, "pvalue": 0.5500154332296091, "lower": -1.0144756186452335, "upper": 0.5678227700088677 }, { "event_time": -3, "estimate": -0.2009937818863619, "se": 0.32679919321161355, "pvalue": 0.550015433229624, "lower": -0.913028056780725, "upper": 0.511040493008001 }, { "event_time": -2, "estimate": -1.4883290420051888e-14, "se": 0.0, "pvalue": null, "lower": -1.4883290420051888e-14, "upper": -1.4883290420051888e-14 }, { "event_time": 0, "estimate": -7.148087203622292e-15, "se": 4.3713301010785306e-08, "pvalue": 0.999999872215292, "lower": -9.524310821749165e-08, "upper": 9.524309392131724e-08 }, { "event_time": 1, "estimate": -4.294141507854567e-15, "se": 0.0, "pvalue": null, "lower": -4.294141507854567e-15, "upper": -4.294141507854567e-15 }, { "event_time": 2, "estimate": -7.08786988720898e-15, "se": 0.0, "pvalue": null, "lower": -7.08786988720898e-15, "upper": -7.08786988720898e-15 }, { "event_time": 3, "estimate": 0.5024844547158752, "se": 0.0, "pvalue": null, "lower": 0.5024844547158752, "upper": 0.5024844547158752 }, { "event_time": 4, "estimate": 0.5024844547158769, "se": 0.0, "pvalue": null, "lower": 0.5024844547158769, "upper": 0.5024844547158769 }, { "event_time": 5, "estimate": 0.574267948246718, "se": 2.5054612413333106e-08, "pvalue": 3.203884367774811e-83, "lower": 0.574267893657407, "upper": 0.574268002836029 }, { "event_time": 6, "estimate": 0.8614019223700604, "se": 0.4043091475107002, "pvalue": 0.054501187972750074, "lower": -0.01951203537807311, "upper": 1.742315880118194 }, { "event_time": 7, "estimate": 1.0049689094317376, "se": 0.4716940054291477, "pvalue": 0.054501187972748895, "lower": -0.022764041274412783, "upper": 2.032701860137888 }, { "event_time": 8, "estimate": 0.8039751275453926, "se": 0.5660328065149769, "pvalue": 0.18095798339442576, "lower": -0.429304413301987, "upper": 2.037254668392772 }, { "event_time": 9, "estimate": 0.6699792729545228, "se": 1.701991792547451e-08, "pvalue": 4.8657818120686806e-86, "lower": 0.6699792358713073, "upper": 0.6699793100377383 }, { "event_time": 10, "estimate": 0.6699792729545317, "se": 5.116443049383285e-08, "pvalue": 2.6502132800459508e-80, "lower": 0.6699791614768141, "upper": 0.6699793844322494 }, { "event_time": 11, "estimate": 1.0049689094317822, "se": 0.0, "pvalue": null, "lower": 1.0049689094317822, "upper": 1.0049689094317822 }, { "event_time": 12, "estimate": 2.0099378188635657, "se": 0.0, "pvalue": null, "lower": 2.0099378188635657, "upper": 2.0099378188635657 }, { "event_time": 13, "estimate": 2.0099378188635644, "se": 0.0, "pvalue": null, "lower": 2.0099378188635644, "upper": 2.0099378188635644 } ] }, "target": { "event_times": [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0 ], "weights": [ 0.13095238095238096, 0.13095238095238096, 0.13095238095238096, 0.09523809523809523, 0.09523809523809523, 0.08333333333333333, 0.08333333333333333, 0.07142857142857142, 0.05952380952380952, 0.03571428571428571, 0.03571428571428571, 0.023809523809523808, 0.011904761904761904, 0.011904761904761904 ], "weighting": "observations" }, "checks": { "did2s_vs_direct_imputation_max_post_difference": 3.3306690738754696e-16, "package_aggregate_vs_estimable_cell_weights": null, "saturated_vs_deviations_relative_rss_difference": 1.939890921660278e-16 }, "inference": { "standard_errors": "Cluster-robust; did2s uses two-stage covariance", "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom" }, "f_test": { "F": 0.3898826587673597, "df_num": 48, "df_den": 42, "pvalue": 0.9990884746380607, "log10_pvalue": -0.0003960509674908463, "inference": "Homoskedastic nested-model F", "observations": 195, "design_columns": 112, "restricted_design_columns": 64, "fixed_effect_rank": 41, "covariance_rank": 48, "rss_unrestricted": 18.313986828495853, "rss_restricted": 26.474336402580846, "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.-12.0]", "C(rel_time, contr.treatment(base=-1.0))[T.-11.0]", "C(rel_time, contr.treatment(base=-1.0))[T.-10.0]", "C(rel_time, contr.treatment(base=-1.0))[T.-9.0]", "C(rel_time, contr.treatment(base=-1.0))[T.-8.0]", "C(rel_time, contr.treatment(base=-1.0))[T.-7.0]" ], "data": [ [ 0.6533333333333333, -0.046666666666666676, -0.13999999999999999, -0.039999999999999994, -0.13333333333333336, -0.12666666666666668 ], [ -0.046666666666666676, 0.6533333333333333, -0.039999999999999994, -0.13999999999999999, -0.03333333333333334, -0.12666666666666668 ], [ -0.046666666666666676, -0.046666666666666676, 0.66, -0.039999999999999994, -0.13333333333333336, -0.02666666666666667 ], [ -0.046666666666666676, -0.046666666666666676, -0.039999999999999994, 0.66, -0.03333333333333334, -0.12666666666666668 ], [ -0.046666666666666676, -0.046666666666666676, -0.039999999999999994, -0.039999999999999994, 0.6666666666666667, -0.02666666666666667 ] ] }, "formula": "y~i(rel_time,ref=-1.0)+i(rel_time,cohort_dummy_4,ref=-1.0)+i(rel_time,cohort_dummy_5,ref=-1.0)+i(rel_time,cohort_dummy_7,ref=-1.0)+i(rel_time,cohort_dummy_8,ref=-1.0)+i(rel_time,cohort_dummy_9,ref=-1.0)+i(rel_time,cohort_dummy_11,ref=-1.0)+i(rel_time,cohort_dummy_13,ref=-1.0)|unit+time_fe", "restriction_names": [ "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.2.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.3.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.4.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.5.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.6.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.7.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.8.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.9.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.10.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.11.0]:cohort_dummy_4", "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.2.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.3.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.4.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.5.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.6.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.7.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.8.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.9.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.10.0]:cohort_dummy_5", "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_7", "C(rel_time, contr.treatment(base=-1.0))[T.2.0]:cohort_dummy_7", "C(rel_time, contr.treatment(base=-1.0))[T.3.0]:cohort_dummy_7", "C(rel_time, contr.treatment(base=-1.0))[T.4.0]:cohort_dummy_7", "C(rel_time, contr.treatment(base=-1.0))[T.5.0]:cohort_dummy_7", "C(rel_time, contr.treatment(base=-1.0))[T.6.0]:cohort_dummy_7", "C(rel_time, contr.treatment(base=-1.0))[T.7.0]:cohort_dummy_7", "C(rel_time, contr.treatment(base=-1.0))[T.8.0]:cohort_dummy_7", "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_8", "C(rel_time, contr.treatment(base=-1.0))[T.2.0]:cohort_dummy_8", "C(rel_time, contr.treatment(base=-1.0))[T.3.0]:cohort_dummy_8", "C(rel_time, contr.treatment(base=-1.0))[T.4.0]:cohort_dummy_8", "C(rel_time, contr.treatment(base=-1.0))[T.5.0]:cohort_dummy_8", "C(rel_time, contr.treatment(base=-1.0))[T.6.0]:cohort_dummy_8", "C(rel_time, contr.treatment(base=-1.0))[T.7.0]:cohort_dummy_8", "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", "C(rel_time, contr.treatment(base=-1.0))[T.3.0]:cohort_dummy_9", "C(rel_time, contr.treatment(base=-1.0))[T.4.0]:cohort_dummy_9", "C(rel_time, contr.treatment(base=-1.0))[T.5.0]:cohort_dummy_9", "C(rel_time, contr.treatment(base=-1.0))[T.6.0]:cohort_dummy_9", "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_11", "C(rel_time, contr.treatment(base=-1.0))[T.2.0]:cohort_dummy_11", "C(rel_time, contr.treatment(base=-1.0))[T.3.0]:cohort_dummy_11", "C(rel_time, contr.treatment(base=-1.0))[T.4.0]:cohort_dummy_11", "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_13", "C(rel_time, contr.treatment(base=-1.0))[T.2.0]:cohort_dummy_13" ], "deviations": [ { "event_time": -3.0, "cohort": 4, "estimate": 0.6699792729544821 }, { "event_time": -2.0, "cohort": 4, "estimate": -2.7755575615628914e-15 }, { "event_time": 0.0, "cohort": 4, "estimate": 1.6653345369377348e-15 }, { "event_time": 1.0, "cohort": 4, "estimate": -2.886579864025407e-15 }, { "event_time": 2.0, "cohort": 4, "estimate": 2.220446049250313e-16 }, { "event_time": 3.0, "cohort": 4, "estimate": -2.0099378188634662 }, { "event_time": 4.0, "cohort": 4, "estimate": -2.009937818863468 }, { "event_time": 5.0, "cohort": 4, "estimate": -2.009937818863468 }, { "event_time": 6.0, "cohort": 4, "estimate": -2.0099378188634667 }, { "event_time": 7.0, "cohort": 4, "estimate": -2.0099378188634622 }, { "event_time": 8.0, "cohort": 4, "estimate": -2.0099378188634587 }, { "event_time": 9.0, "cohort": 4, "estimate": -2.009937818863463 }, { "event_time": 10.0, "cohort": 4, "estimate": -2.009937818863462 }, { "event_time": 11.0, "cohort": 4, "estimate": -2.0099378188634707 }, { "event_time": -4.0, "cohort": 5, "estimate": 0.6699792729544813 }, { "event_time": -3.0, "cohort": 5, "estimate": 0.6699792729544878 }, { "event_time": -2.0, "cohort": 5, "estimate": -3.885780586188048e-15 }, { "event_time": 0.0, "cohort": 5, "estimate": -1.609823385706477e-15 }, { "event_time": 1.0, "cohort": 5, "estimate": 5.218048215738236e-15 }, { "event_time": 2.0, "cohort": 5, "estimate": 1.3877787807814457e-16 }, { "event_time": 3.0, "cohort": 5, "estimate": -2.0099378188634627 }, { "event_time": 4.0, "cohort": 5, "estimate": -2.009937818863466 }, { "event_time": 5.0, "cohort": 5, "estimate": -2.0099378188634613 }, { "event_time": 6.0, "cohort": 5, "estimate": -2.009937818863463 }, { "event_time": 7.0, "cohort": 5, "estimate": -2.0099378188634605 }, { "event_time": 8.0, "cohort": 5, "estimate": -2.0099378188634596 }, { "event_time": 9.0, "cohort": 5, "estimate": -2.0099378188634622 }, { "event_time": 10.0, "cohort": 5, "estimate": -2.0099378188634653 }, { "event_time": -6.0, "cohort": 7, "estimate": 0.6699792729544879 }, { "event_time": -5.0, "cohort": 7, "estimate": 0.6699792729544836 }, { "event_time": -4.0, "cohort": 7, "estimate": 0.6699792729544884 }, { "event_time": -3.0, "cohort": 7, "estimate": 0.669979272954492 }, { "event_time": -2.0, "cohort": 7, "estimate": 4.773959005888173e-15 }, { "event_time": 0.0, "cohort": 7, "estimate": 2.886579864025407e-15 }, { "event_time": 1.0, "cohort": 7, "estimate": 6.439293542825908e-15 }, { "event_time": 2.0, "cohort": 7, "estimate": -1.0547118733938987e-15 }, { "event_time": 3.0, "cohort": 7, "estimate": -2.0099378188634676 }, { "event_time": 4.0, "cohort": 7, "estimate": -2.0099378188634645 }, { "event_time": 5.0, "cohort": 7, "estimate": -2.009937818863463 }, { "event_time": 6.0, "cohort": 7, "estimate": -1.0049689094317231 }, { "event_time": 7.0, "cohort": 7, "estimate": -1.0049689094317267 }, { "event_time": 8.0, "cohort": 7, "estimate": -1.004968909431728 }, { "event_time": -7.0, "cohort": 8, "estimate": 0.6699792729544942 }, { "event_time": -6.0, "cohort": 8, "estimate": 0.6699792729544849 }, { "event_time": -5.0, "cohort": 8, "estimate": 0.6699792729544899 }, { "event_time": -4.0, "cohort": 8, "estimate": 0.669979272954494 }, { "event_time": -3.0, "cohort": 8, "estimate": 0.6699792729544936 }, { "event_time": -2.0, "cohort": 8, "estimate": 1.7763568394002505e-15 }, { "event_time": 0.0, "cohort": 8, "estimate": 6.661338147750939e-15 }, { "event_time": 1.0, "cohort": 8, "estimate": 6.439293542825908e-15 }, { "event_time": 2.0, "cohort": 8, "estimate": 1.817990202823694e-15 }, { "event_time": 3.0, "cohort": 8, "estimate": -4.85722573273506e-17 }, { "event_time": 4.0, "cohort": 8, "estimate": -2.942091015256665e-15 }, { "event_time": 5.0, "cohort": 8, "estimate": 5.329070518200751e-15 }, { "event_time": 6.0, "cohort": 8, "estimate": 5.329070518200751e-15 }, { "event_time": 7.0, "cohort": 8, "estimate": 2.4424906541753444e-15 }, { "event_time": -8.0, "cohort": 9, "estimate": 1.3399585459089702 }, { "event_time": -7.0, "cohort": 9, "estimate": 0.6699792729544818 }, { "event_time": -6.0, "cohort": 9, "estimate": 0.6699792729544864 }, { "event_time": -5.0, "cohort": 9, "estimate": 0.6699792729544919 }, { "event_time": -4.0, "cohort": 9, "estimate": 0.6699792729544917 }, { "event_time": -3.0, "cohort": 9, "estimate": 0.6699792729544901 }, { "event_time": -2.0, "cohort": 9, "estimate": -2.1094237467877974e-15 }, { "event_time": 0.0, "cohort": 9, "estimate": 2.886579864025407e-15 }, { "event_time": 1.0, "cohort": 9, "estimate": 3.4416913763379853e-15 }, { "event_time": 2.0, "cohort": 9, "estimate": 2.0539125955565396e-15 }, { "event_time": 3.0, "cohort": 9, "estimate": -2.009937818863468 }, { "event_time": 4.0, "cohort": 9, "estimate": -2.009937818863464 }, { "event_time": 5.0, "cohort": 9, "estimate": -2.0099378188634622 }, { "event_time": 6.0, "cohort": 9, "estimate": -2.009937818863459 }, { "event_time": -10.0, "cohort": 11, "estimate": 1.3399585459089824 }, { "event_time": -9.0, "cohort": 11, "estimate": 1.339958545908973 }, { "event_time": -8.0, "cohort": 11, "estimate": 1.3399585459089705 }, { "event_time": -7.0, "cohort": 11, "estimate": 0.6699792729544978 }, { "event_time": -6.0, "cohort": 11, "estimate": 0.669979272954495 }, { "event_time": -5.0, "cohort": 11, "estimate": 0.6699792729544924 }, { "event_time": -4.0, "cohort": 11, "estimate": 0.6699792729544936 }, { "event_time": -3.0, "cohort": 11, "estimate": 0.6699792729544942 }, { "event_time": -2.0, "cohort": 11, "estimate": 1.5543122344752192e-15 }, { "event_time": 0.0, "cohort": 11, "estimate": 9.457712391025552e-15 }, { "event_time": 1.0, "cohort": 11, "estimate": 8.326672684688674e-15 }, { "event_time": 2.0, "cohort": 11, "estimate": 7.771561172376096e-15 }, { "event_time": 3.0, "cohort": 11, "estimate": -2.009937818863459 }, { "event_time": 4.0, "cohort": 11, "estimate": -2.0099378188634613 }, { "event_time": 0.0, "cohort": 13, "estimate": 6.827871601444713e-15 }, { "event_time": 1.0, "cohort": 13, "estimate": 6.217248937900877e-15 }, { "event_time": 2.0, "cohort": 13, "estimate": 2.220446049250313e-15 } ] } } }, "code_sha256": { "replication_engine.py": "85957b22db6cf6312f27a925b03b907e4d51071cc59a60cfdf2d7b039b1e34eb", "reference_f_test.py": "26f3d65e1ff59d46f05bb28011b2ed34b9ee150f04c47c144dd6836a4d75d6f0", "sparse_did2s.py": "a348042269b0077dd2916898779f992f0b5fc2971edfee8b0118d3af715eaafb" } }, "alternative_status": [ { "method": "CS-DID", "status": "unsupported", "reason": "csdid: matching the configured nonstandard fixed effects is not implemented." }, { "method": "SDID", "status": "unsupported", "reason": "sdid: matching the configured nonstandard fixed effects is not implemented." }, { "method": "Matrix completion", "status": "unsupported", "reason": "matrix-completion: matching the configured nonstandard fixed effects is not implemented." }, { "method": "Horizontal ridge", "status": "unsupported", "reason": "horizontal-ridge: matching the configured nonstandard fixed effects is not implemented." }, { "method": "Multisynth (cohort-averaged)", "status": "unsupported", "reason": "multisynth-cohort: matching the configured nonstandard fixed effects is not implemented." }, { "method": "Multisynth (individual)", "status": "unsupported", "reason": "multisynth-individual: matching the configured nonstandard fixed effects is not implemented." } ], "finished": 1791581064.6365771, "adapter_sample_audit": { "y__d": { "sample": { "outcome": "y", "treatment": "d", "source_rows": 4340, "source_sd": 0.49752782927655886, "rows": 195, "units": 13, "clusters": 13, "treated_units": 11, "never_treated_units": 2, "treated_cohorts": 8, "latest_cohort_control_index": 16, "unique_unit_period_cells": 195, "unsupported_prediction_rows_removed": 775, "rows_without_never_control_time_fe_removed": 0, "initially_treated_units_removed": 106, "post_adoption_untreated_rows_removed": 0, "units_without_minus_one_removed": 0, "additional_rows_removed": 1470 } } }, "scalar_ranges": [ { "Outcome / treatment": "y__d", "Estimator": "Static TWFE", "Estimate (SDs)": -0.13470016920109934, "SE": 0.21610578173287492, "Aggregation": "Coefficient", "Event study": "No", "Status": "estimated", "Note": "", "lower": -0.6055542190059531, "upper": 0.33615388060375434, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Dynamic TWFE", "Estimate (SDs)": 0.30120131393799965, "SE": 0.29645301951982916, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.3447143283853934, "upper": 0.9471169562613927, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "BJS / did2s", "Estimate (SDs)": 0.3185765550991104, "SE": 0.19655863703917784, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": -0.10968792506375435, "upper": 0.7468410352619752, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "Sun\u2013Abraham", "Estimate (SDs)": 0.45462879236198217, "SE": 0.10107728687766834, "Aggregation": "Treated cells", "Event study": "Yes", "Status": "estimated", "Note": "", "lower": 0.2344003029249634, "upper": 0.674857281799001, "ci_level": 0.95, "inference": "Configured-cluster regression interval" }, { "Outcome / treatment": "y__d", "Estimator": "CS-DID (equal event-time)", "Estimate (SDs)": null, "SE": null, "Aggregation": "Equal post-event times", "Event study": "No", "Status": "unsupported", "Note": "csdid: matching the configured nonstandard fixed effects is not implemented.", "lower": null, "upper": null, "ci_level": null, "inference": "Not computed" }, { "Outcome / treatment": "y__d", "Estimator": "SDID", "Estimate (SDs)": null, "SE": null, "Aggregation": "Treated cells", "Event study": "No", "Status": "unsupported", "Note": "sdid: matching the configured nonstandard fixed effects is not implemented.", "lower": null, "upper": null, "ci_level": null, "inference": "Not computed" }, { "Outcome / treatment": "y__d", "Estimator": "Matrix completion", "Estimate (SDs)": null, "SE": null, "Aggregation": "Treated cells", "Event study": "No", "Status": "unsupported", "Note": "matrix-completion: matching the configured nonstandard fixed effects is not implemented.", "lower": null, "upper": null, "ci_level": null, "inference": "Not computed" }, { "Outcome / treatment": "y__d", "Estimator": "Horizontal ridge", "Estimate (SDs)": null, "SE": null, "Aggregation": "Treated cells", "Event study": "No", "Status": "unsupported", "Note": "horizontal-ridge: matching the configured nonstandard fixed effects is not implemented.", "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: matching the configured nonstandard fixed effects is not implemented.", "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: matching the configured nonstandard fixed effects is not implemented.", "lower": null, "upper": null, "ci_level": null, "inference": "Not computed" } ] }