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All papers and comparison plots · Results JSON · Quarto source

16 of 16 registered specifications have estimates. Every registered specification appears below.

Cohen et al. (2017), JPE. https://doi.org/10.1086/694203

Data and estimation

Outcomes are divided by their unweighted source-sample standard deviation (ddof=1), before exclusions; they are not centered. Treatment adoption is the first observed treated period. Models share an eligible sample, fixed effects, controls and weights. Initially treated units, missing −1 baselines and unsupported untreated-outcome predictions are removed. For switching treatments, untreated rows after first adoption are removed. Exact counts and settings are in the JSON.

Static TWFE uses the treatment indicator. Dynamic TWFE omits event time −1. BJS/did2s fits untreated outcomes, then averages imputation residuals. Sun–Abraham estimates cohort-by-event-time effects. The three dynamic estimates share post-period aggregation weights. Event-study tails are unbinned. These are common-sample reruns, not Peter’s original estimator-specific sample and tail-binning rules.

The homogeneity test restricts identified cohort deviations at positive event times to zero; leads and event time 0 remain unrestricted. It is a homoskedastic nested-model F-test. Estimate intervals are separately cluster-robust, with the did2s two-stage correction. Large panels use algebraically equivalent sparse regressions; backend and validation results are recorded in JSON.

Adoption timing

Treatment adoption timing

S03-P013: seeded sample of 100 of 11,515 eligible units. Purple untreated; yellow treated; white unobserved. Calendar periods follow the configured time grid. Each specification uses its own full eligible sample.

Specification Status F_pvalue Static TWFE Dynamic TWFE BJS / did2s Sun–Abraham
S03-P001 estimated 1.058e-08 -0.04555 0.02424 -0.06274 0.02955
S03-P002 estimated 8.419e-11 -0.02026 0.1103 -0.03863 0.113
S03-P003 estimated 1.999e-07 -0.04983 -0.01219 -0.06104 -0.009579
S03-P004 estimated 0.001855 -0.04077 0.01208 -0.0653 0.01015
S03-P005 estimated 1.695e-05 -0.03945 -0.1154 -0.06214 -0.1103
S03-P006 estimated 0.735 -0.03055 -0.1028 -0.07386 -0.1039
S03-P007 estimated 7.58e-07 -0.0561 -0.01831 -0.06825 -0.01619
S03-P008 estimated 0.01197 -0.0404 0.0001087 -0.06596 -0.002153
S03-P009 estimated 4.238e-07 0.1229 -0.2501 0.1411 -0.1856
S03-P010 estimated 0.3414 0.08579 -0.01204 0.09293 -0.02319
S03-P011 estimated 2.865e-07 0.1292 -0.2392 0.1493 -0.1742
S03-P012 estimated 0.3018 0.09308 -0.01039 0.09255 -0.02335
S03-P013 estimated 2.617e-07 0.1209 -0.2508 0.14 -0.1857
S03-P014 estimated 0.3043 0.08796 -0.008518 0.09596 -0.02007
S03-P015 estimated 3.464e-07 0.1257 -0.2474 0.1445 -0.1826
S03-P016 estimated 0.3128 0.09122 -0.009781 0.09888 -0.02134

Specifications

Open a specification for its estimates, event studies and homogeneity test. Plots display −10 through 10; JSON contains the full paths. Large-panel intervals are calculated over the displayed window.

S03-P001 · PP-REPLY-T1-PA-ALL-CHGEMP · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PA-ALL-CHGEMP

Source rows: 166,729; fitted rows: 158,820; units: 14,838; clusters: 58; treated cohorts: 7. Source outcome SD: 0.31274173.

method estimate se lower upper
Static TWFE -0.045545 0.022145 -0.089889 -0.001201
Dynamic TWFE 0.024238 0.11008 -0.19619 0.24466
BJS / did2s -0.062743 0.025021 -0.11285 -0.01264
Sun–Abraham 0.029551 0.018057 -0.0066076 0.065709

Post-period weighting: observations. Homogeneity F(22, 143792) = 3.688; p = 1.058e-08.

TWFE, imputation, saturated event studies and cohort deviations
S03-P002 · PP-REPLY-T1-PA-ALL-SALESGR · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PA-ALL-SALESGR

Source rows: 179,353; fitted rows: 170,643; units: 15,601; clusters: 58; treated cohorts: 6. Source outcome SD: 0.43043574.

method estimate se lower upper
Static TWFE -0.020256 0.0194 -0.059104 0.018593
Dynamic TWFE 0.11027 0.15366 -0.19743 0.41797
BJS / did2s -0.038632 0.042275 -0.12329 0.046022
Sun–Abraham 0.11301 0.018109 0.07675 0.14927

Post-period weighting: observations. Homogeneity F(20, 154860) = 4.485; p = 8.419e-11.

TWFE, imputation, saturated event studies and cohort deviations
S03-P003 · PP-REPLY-T1-PA-NOOIL-CHGEMP · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PA-NOOIL-CHGEMP

Source rows: 159,619; fitted rows: 152,549; units: 14,280; clusters: 58; treated cohorts: 7. Source outcome SD: 0.31057432.

method estimate se lower upper
Static TWFE -0.049831 0.02327 -0.096428 -0.0032342
Dynamic TWFE -0.012189 0.10061 -0.21365 0.18927
BJS / did2s -0.061038 0.023798 -0.10869 -0.013383
Sun–Abraham -0.0095793 0.018456 -0.046538 0.027379

Post-period weighting: observations. Homogeneity F(22, 138079) = 3.331; p = 1.999e-07.

TWFE, imputation, saturated event studies and cohort deviations
S03-P004 · PP-REPLY-T1-PA-NOOIL-SALESGR · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PA-NOOIL-SALESGR

Source rows: 171,472; fitted rows: 163,763; units: 14,993; clusters: 58; treated cohorts: 6. Source outcome SD: 0.42409607.

method estimate se lower upper
Static TWFE -0.040767 0.02171 -0.08424 0.0027068
Dynamic TWFE 0.01208 0.10027 -0.1887 0.21286
BJS / did2s -0.065298 0.028523 -0.12241 -0.0081822
Sun–Abraham 0.01015 0.017175 -0.024243 0.044544

Post-period weighting: observations. Homogeneity F(20, 148588) = 2.166; p = 0.001855.

TWFE, imputation, saturated event studies and cohort deviations
S03-P005 · PP-REPLY-T1-PA-NOTX-CHGEMP · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PA-NOTX-CHGEMP

Source rows: 153,587; fitted rows: 148,390; units: 13,713; clusters: 56; treated cohorts: 6. Source outcome SD: 0.30986001.

method estimate se lower upper
Static TWFE -0.039448 0.026703 -0.092963 0.014066
Dynamic TWFE -0.11538 0.034232 -0.18398 -0.046776
BJS / did2s -0.062142 0.033045 -0.12837 0.0040829
Sun–Abraham -0.1103 0.023542 -0.15748 -0.063123

Post-period weighting: observations. Homogeneity F(17, 134518) = 3.091; p = 1.695e-05.

TWFE, imputation, saturated event studies and cohort deviations
S03-P006 · PP-REPLY-T1-PA-NOTX-SALESGR

Specification JSON · Configuration

PP-REPLY-T1-PA-NOTX-SALESGR

Source rows: 164,831; fitted rows: 159,163; units: 14,409; clusters: 56; treated cohorts: 5. Source outcome SD: 0.42597057.

method estimate se lower upper
Static TWFE -0.030553 0.026538 -0.083737 0.022631
Dynamic TWFE -0.10283 0.024333 -0.15159 -0.054062
BJS / did2s -0.073863 0.024992 -0.12395 -0.023778
Sun–Abraham -0.10393 0.019949 -0.14391 -0.063952

Post-period weighting: observations. Homogeneity F(15, 144603) = 0.7497; p = 0.735.

TWFE, imputation, saturated event studies and cohort deviations
S03-P007 · PP-REPLY-T1-PA-NOTXOIL-CHGEMP · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PA-NOTXOIL-CHGEMP

Source rows: 163,669; fitted rows: 156,443; units: 14,604; clusters: 58; treated cohorts: 7. Source outcome SD: 0.31173115.

method estimate se lower upper
Static TWFE -0.056103 0.022782 -0.10172 -0.010483
Dynamic TWFE -0.018308 0.092679 -0.20389 0.16728
BJS / did2s -0.068248 0.023684 -0.11568 -0.020821
Sun–Abraham -0.016186 0.018803 -0.053838 0.021467

Post-period weighting: observations. Homogeneity F(22, 141649) = 3.165; p = 7.58e-07.

TWFE, imputation, saturated event studies and cohort deviations
S03-P008 · PP-REPLY-T1-PA-NOTXOIL-SALESGR · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PA-NOTXOIL-SALESGR

Source rows: 176,004; fitted rows: 168,071; units: 15,356; clusters: 58; treated cohorts: 6. Source outcome SD: 0.42788449.

method estimate se lower upper
Static TWFE -0.040398 0.021098 -0.082647 0.0018504
Dynamic TWFE 0.00010866 0.088552 -0.17721 0.17743
BJS / did2s -0.065961 0.025416 -0.11685 -0.015067
Sun–Abraham -0.0021529 0.01764 -0.037476 0.03317

Post-period weighting: observations. Homogeneity F(20, 152533) = 1.846; p = 0.01197.

TWFE, imputation, saturated event studies and cohort deviations
S03-P009 · PP-REPLY-T1-PB-ALL-CHGEMP · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PB-ALL-CHGEMP

Source rows: 118,675; fitted rows: 109,770; units: 12,555; clusters: 56; treated cohorts: 4. Source outcome SD: 0.30618007.

method estimate se lower upper
Static TWFE 0.12289 0.037673 0.047392 0.19839
Dynamic TWFE -0.25005 0.25656 -0.7642 0.2641
BJS / did2s 0.14113 0.029858 0.081298 0.20097
Sun–Abraham -0.18563 0.0441 -0.27401 -0.097252

Post-period weighting: observations. Homogeneity F(7, 97141) = 6.067; p = 4.238e-07.

TWFE, imputation, saturated event studies and cohort deviations
S03-P010 · PP-REPLY-T1-PB-ALL-SALESGR

Specification JSON · Configuration

PP-REPLY-T1-PB-ALL-SALESGR

Source rows: 128,638; fitted rows: 118,800; units: 13,225; clusters: 56; treated cohorts: 3. Source outcome SD: 0.40819039.

method estimate se lower upper
Static TWFE 0.085795 0.027088 0.031509 0.14008
Dynamic TWFE -0.012041 0.15183 -0.31632 0.29224
BJS / did2s 0.09293 0.025402 0.042023 0.14384
Sun–Abraham -0.023192 0.037437 -0.098218 0.051833

Post-period weighting: observations. Homogeneity F(5, 105507) = 1.131; p = 0.3414.

TWFE, imputation, saturated event studies and cohort deviations
S03-P011 · PP-REPLY-T1-PB-NOOIL-CHGEMP · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PB-NOOIL-CHGEMP

Source rows: 114,234; fitted rows: 105,591; units: 12,134; clusters: 56; treated cohorts: 4. Source outcome SD: 0.30423295.

method estimate se lower upper
Static TWFE 0.12921 0.038865 0.05132 0.2071
Dynamic TWFE -0.23922 0.25948 -0.75923 0.28079
BJS / did2s 0.14931 0.030653 0.087878 0.21074
Sun–Abraham -0.17418 0.042879 -0.26012 -0.088252

Post-period weighting: observations. Homogeneity F(7, 93383) = 6.193; p = 2.865e-07.

TWFE, imputation, saturated event studies and cohort deviations
S03-P012 · PP-REPLY-T1-PB-NOOIL-SALESGR

Specification JSON · Configuration

PP-REPLY-T1-PB-NOOIL-SALESGR

Source rows: 123,775; fitted rows: 114,267; units: 12,772; clusters: 56; treated cohorts: 3. Source outcome SD: 0.4023078.

method estimate se lower upper
Static TWFE 0.09308 0.027325 0.03832 0.14784
Dynamic TWFE -0.010393 0.16045 -0.33193 0.31115
BJS / did2s 0.092551 0.023661 0.045134 0.13997
Sun–Abraham -0.02335 0.039107 -0.10172 0.055023

Post-period weighting: observations. Homogeneity F(5, 101427) = 1.209; p = 0.3018.

TWFE, imputation, saturated event studies and cohort deviations
S03-P013 · PP-REPLY-T1-PB-NOTX-CHGEMP · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PB-NOTX-CHGEMP

Source rows: 109,338; fitted rows: 100,573; units: 11,515; clusters: 55; treated cohorts: 4. Source outcome SD: 0.30352436.

method estimate se lower upper
Static TWFE 0.12085 0.038487 0.043691 0.19801
Dynamic TWFE -0.25077 0.25906 -0.77015 0.26861
BJS / did2s 0.14003 0.032184 0.0755 0.20455
Sun–Abraham -0.18569 0.046485 -0.27889 -0.092495

Post-period weighting: observations. Homogeneity F(7, 88984) = 6.222; p = 2.617e-07.

TWFE, imputation, saturated event studies and cohort deviations
S03-P014 · PP-REPLY-T1-PB-NOTX-SALESGR

Specification JSON · Configuration

PP-REPLY-T1-PB-NOTX-SALESGR

Source rows: 118,361; fitted rows: 108,685; units: 12,131; clusters: 55; treated cohorts: 3. Source outcome SD: 0.40379326.

method estimate se lower upper
Static TWFE 0.087963 0.028349 0.031126 0.1448
Dynamic TWFE -0.0085184 0.15734 -0.32396 0.30692
BJS / did2s 0.09596 0.026826 0.042178 0.14974
Sun–Abraham -0.02007 0.039339 -0.098941 0.0588

Post-period weighting: observations. Homogeneity F(5, 96486) = 1.204; p = 0.3043.

TWFE, imputation, saturated event studies and cohort deviations
S03-P015 · PP-REPLY-T1-PB-NOTXOIL-CHGEMP · homogeneity rejected

Specification JSON · Configuration

PP-REPLY-T1-PB-NOTXOIL-CHGEMP

Source rows: 116,607; fitted rows: 107,753; units: 12,360; clusters: 56; treated cohorts: 4. Source outcome SD: 0.30510415.

method estimate se lower upper
Static TWFE 0.12566 0.0383 0.048903 0.20241
Dynamic TWFE -0.24736 0.25809 -0.76459 0.26987
BJS / did2s 0.14451 0.030513 0.083356 0.20565
Sun–Abraham -0.18256 0.044312 -0.27137 -0.093759

Post-period weighting: observations. Homogeneity F(7, 95319) = 6.132; p = 3.464e-07.

TWFE, imputation, saturated event studies and cohort deviations
S03-P016 · PP-REPLY-T1-PB-NOTXOIL-SALESGR

Specification JSON · Configuration

PP-REPLY-T1-PB-NOTXOIL-SALESGR

Source rows: 126,401; fitted rows: 116,613; units: 13,020; clusters: 56; treated cohorts: 3. Source outcome SD: 0.40519655.

method estimate se lower upper
Static TWFE 0.091217 0.02831 0.034482 0.14795
Dynamic TWFE -0.0097814 0.15726 -0.32494 0.30538
BJS / did2s 0.098878 0.026901 0.044967 0.15279
Sun–Abraham -0.021343 0.038033 -0.097563 0.054876

Post-period weighting: observations. Homogeneity F(5, 103525) = 1.187; p = 0.3128.

TWFE, imputation, saturated event studies and cohort deviations

Reproduce

Code, configurations and environments · Generic Quarto template · Editable Jot template. Source datasets remain local. Run python templates/full_archive/run_archive.py, then python templates/full_archive/build_collection.py.