All papers and comparison plots · Results JSON · Quarto source
9 of 9 registered specifications have estimates. Every registered specification appears below.
Hollingsworth et al. (2024), AER. https://doi.org/10.1257/aer.20230008
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
S16-P001: seeded sample of 91 of 91 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 |
|---|---|---|---|---|---|---|
| S16-P001 | estimated | 0.2048 | -0.2337 | -0.1709 | -0.2592 | -0.2413 |
| S16-P002 | estimated | 0.3216 | -0.2117 | -0.1451 | -0.2118 | -0.2139 |
| S16-P003 | estimated | 0.2426 | -0.1357 | -0.09198 | -0.1293 | -0.1301 |
| S16-P004 | estimated | 0.7747 | -0.1914 | -0.1716 | -0.2389 | -0.2194 |
| S16-P005 | estimated | 0.1662 | -0.213 | -0.1976 | -0.2764 | -0.2806 |
| S16-P006 | estimated | 0.3216 | -0.2117 | -0.246 | -0.3003 | -0.314 |
| S16-P007 | estimated | 0.1421 | -0.1339 | -0.2141 | -0.2365 | -0.2384 |
| S16-P008 | estimated | 0.1366 | -0.2692 | -0.2946 | -0.3849 | -0.39 |
| S16-P009 | estimated | 0.4674 | -0.1738 | -0.241 | -0.2973 | -0.2971 |
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.
S16-P001 · GIFT-F4-LOGIMR-CSA-BLACK
Specification JSON · Configuration
GIFT-F4-LOGIMR-CSA-BLACK
Source rows: 1,872; fitted rows: 1,826; units: 91; clusters: 91; treated cohorts: 12. Source outcome SD: 0.61005727.
| method | estimate | se | lower | upper |
|---|---|---|---|---|
| Static TWFE | -0.23367 | 0.078452 | -0.38952 | -0.077809 |
| Dynamic TWFE | -0.17094 | 0.083175 | -0.33618 | -0.0056951 |
| BJS / did2s | -0.25922 | 0.069521 | -0.39733 | -0.1211 |
| Sun–Abraham | -0.24134 | 0.066115 | -0.37269 | -0.10999 |
Post-period weighting: equal_periods. Homogeneity F(92, 1481) = 1.124; p = 0.2048.
S16-P002 · GIFT-F4-LOGIMR-CSA-POOL
Specification JSON · Configuration
GIFT-F4-LOGIMR-CSA-POOL
Source rows: 2,100; fitted rows: 2,100; units: 100; clusters: 100; treated cohorts: 12. Source outcome SD: 0.41442677.
| method | estimate | se | lower | upper |
|---|---|---|---|---|
| Static TWFE | -0.21171 | 0.073014 | -0.35659 | -0.066833 |
| Dynamic TWFE | -0.1451 | 0.069498 | -0.283 | -0.0072039 |
| BJS / did2s | -0.21185 | 0.070625 | -0.35198 | -0.071714 |
| Sun–Abraham | -0.21395 | 0.078558 | -0.36983 | -0.058073 |
Post-period weighting: equal_periods. Homogeneity F(97, 1740) = 1.063; p = 0.3216.
S16-P003 · GIFT-F4-LOGIMR-CSA-WHITE
Specification JSON · Configuration
GIFT-F4-LOGIMR-CSA-WHITE
Source rows: 1,990; fitted rows: 1,990; units: 95; clusters: 95; treated cohorts: 12. Source outcome SD: 0.43388109.
| method | estimate | se | lower | upper |
|---|---|---|---|---|
| Static TWFE | -0.13566 | 0.078312 | -0.29115 | 0.019832 |
| Dynamic TWFE | -0.091984 | 0.07077 | -0.2325 | 0.048531 |
| BJS / did2s | -0.12927 | 0.079233 | -0.28659 | 0.028047 |
| Sun–Abraham | -0.13008 | 0.098674 | -0.326 | 0.065837 |
Post-period weighting: equal_periods. Homogeneity F(97, 1635) = 1.1; p = 0.2426.
S16-P004 · GIFT-F5A-BLACK
Specification JSON · Configuration
GIFT-F5A-BLACK
Source rows: 1,995; fitted rows: 1,995; units: 95; clusters: 95; treated cohorts: 12. Source outcome SD: 83.920922.
| method | estimate | se | lower | upper |
|---|---|---|---|---|
| Static TWFE | -0.19144 | 0.05245 | -0.29558 | -0.087296 |
| Dynamic TWFE | -0.17161 | 0.066326 | -0.3033 | -0.039917 |
| BJS / did2s | -0.23892 | 0.064247 | -0.36649 | -0.11136 |
| Sun–Abraham | -0.21943 | 0.047198 | -0.31314 | -0.12571 |
Post-period weighting: observations. Homogeneity F(97, 1640) = 0.8868; p = 0.7747.
S16-P005 · GIFT-F5A-LOGIMR-CSA-BLACK
Specification JSON · Configuration
GIFT-F5A-LOGIMR-CSA-BLACK
Source rows: 1,908; fitted rows: 1,862; units: 95; clusters: 95; treated cohorts: 12. Source outcome SD: 0.66909965.
| method | estimate | se | lower | upper |
|---|---|---|---|---|
| Static TWFE | -0.21303 | 0.071489 | -0.35498 | -0.071089 |
| Dynamic TWFE | -0.19763 | 0.089953 | -0.37624 | -0.019028 |
| BJS / did2s | -0.27644 | 0.082332 | -0.43991 | -0.11297 |
| Sun–Abraham | -0.28062 | 0.068909 | -0.41744 | -0.1438 |
Post-period weighting: observations. Homogeneity F(92, 1513) = 1.148; p = 0.1662.
S16-P006 · GIFT-F5A-LOGIMR-CSA-POOL
Specification JSON · Configuration
GIFT-F5A-LOGIMR-CSA-POOL
Source rows: 2,100; fitted rows: 2,100; units: 100; clusters: 100; treated cohorts: 12. Source outcome SD: 0.41442677.
| method | estimate | se | lower | upper |
|---|---|---|---|---|
| Static TWFE | -0.21171 | 0.073014 | -0.35659 | -0.066833 |
| Dynamic TWFE | -0.24598 | 0.0974 | -0.43924 | -0.052718 |
| BJS / did2s | -0.30035 | 0.089439 | -0.47781 | -0.12288 |
| Sun–Abraham | -0.31404 | 0.095721 | -0.50397 | -0.12411 |
Post-period weighting: observations. Homogeneity F(97, 1740) = 1.063; p = 0.3216.
S16-P007 · GIFT-F5A-LOGIMR-CSA-WHITE
Specification JSON · Configuration
GIFT-F5A-LOGIMR-CSA-WHITE
Source rows: 2,095; fitted rows: 2,095; units: 100; clusters: 100; treated cohorts: 12. Source outcome SD: 0.43482174.
| method | estimate | se | lower | upper |
|---|---|---|---|---|
| Static TWFE | -0.13393 | 0.077465 | -0.28764 | 0.019774 |
| Dynamic TWFE | -0.21406 | 0.097149 | -0.40682 | -0.021292 |
| BJS / did2s | -0.23649 | 0.087471 | -0.41005 | -0.062931 |
| Sun–Abraham | -0.23839 | 0.11214 | -0.4609 | -0.015887 |
Post-period weighting: observations. Homogeneity F(97, 1735) = 1.16; p = 0.1421.
S16-P008 · GIFT-F5A-POOL
Specification JSON · Configuration
GIFT-F5A-POOL
Source rows: 2,100; fitted rows: 2,100; units: 100; clusters: 100; treated cohorts: 12. Source outcome SD: 24.557889.
| method | estimate | se | lower | upper |
|---|---|---|---|---|
| Static TWFE | -0.26922 | 0.083083 | -0.43408 | -0.10437 |
| Dynamic TWFE | -0.29465 | 0.11691 | -0.52663 | -0.062667 |
| BJS / did2s | -0.38487 | 0.10879 | -0.60074 | -0.169 |
| Sun–Abraham | -0.39004 | 0.1105 | -0.6093 | -0.17078 |
Post-period weighting: observations. Homogeneity F(97, 1740) = 1.164; p = 0.1366.
S16-P009 · GIFT-F5A-WHITE
Specification JSON · Configuration
GIFT-F5A-WHITE
Source rows: 1,995; fitted rows: 1,995; units: 95; clusters: 95; treated cohorts: 12. Source outcome SD: 23.019359.
| method | estimate | se | lower | upper |
|---|---|---|---|---|
| Static TWFE | -0.17379 | 0.090017 | -0.35253 | 0.0049363 |
| Dynamic TWFE | -0.24103 | 0.11229 | -0.46397 | -0.018082 |
| BJS / did2s | -0.29726 | 0.10577 | -0.50727 | -0.087252 |
| Sun–Abraham | -0.29714 | 0.12767 | -0.55062 | -0.043649 |
Post-period weighting: observations. Homogeneity F(97, 1640) = 1.006; p = 0.4674.
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.