import sys
from pathlib import Path
ROOT = next(
p for p in [Path.cwd(), *Path.cwd().parents]
if (p / "scripts/tranche50_report.py").exists()
)
sys.path.insert(0, str(ROOT / "scripts"))
from tranche50_report import reportDistributive Politics and Electoral Incentives: Evidence from Seven US State Legislatures
Toke S. Aidt; Julia Shvets (2012) · American Economic Journal: Economic Policy
report("aeraej-606")Toke S. Aidt; Julia Shvets (2012). American Economic Journal: Economic Policy. Table 5 col.
Source specification
State-by-year effects and district clustering are retained. Post-exit untreated observations are excluded from the adoption comparison.
| Source coefficient | Template on source sample | Source N | Template source-sample N |
|---|---|---|---|
| -14.445 | -14.445 | 8166 | 8166 |
Source-to-template coefficient difference: 2.15e-10, in original outcome units.
| Role | Column |
|---|---|
| Outcome | tottransfer |
| Treatment | tllastterm |
| Unit | nameid |
| Time | year |
| Cluster | clusterdistid |
No additional covariates beyond fixed effects.
Estimates below divide the outcome by its source-sample standard deviation, 294.062. Static TWFE is the treatment coefficient. Dynamic TWFE, BJS and Sun–Abraham average supported post-treatment cells by observation count. CS-DID additionally reports an equal-event-time average.
Analysis sample and treatment timing
| Observations | Units | Treated | Control units | Cohorts | Clusters |
|---|---|---|---|---|---|
| 8165 | 1573 | 328 | 1245 | 5 | 7385 |
| Sample restriction | Count |
|---|---|
| additional rows removed | 1 |
Adoption is the first observed treated period. Initially treated units and units without an observed minus-one baseline are excluded. Post-adoption untreated rows are excluded for switching policies. The plot shows at most 100 seeded-sample units; estimation uses the full eligible sample. Empty cells remain missing.
y__d: 100 of 1573 units shown (seed 20261008). All eligible units enter estimation. Purple: untreated; yellow: treated; white: unobserved.
Estimates
| Estimator | Estimate (SD) | SE | 95% lower | 95% upper | Target | Status |
|---|---|---|---|---|---|---|
| Static TWFE | -0.049123 | 0.022754 | -0.093728 | -0.0045178 | Coefficient | estimated |
| Dynamic TWFE | -0.044797 | 0.022263 | -0.088439 | -0.0011548 | Treated cells | estimated |
| BJS / did2s | -0.033095 | 0.020632 | -0.07354 | 0.0073492 | Treated cells | estimated |
| Sun–Abraham | -0.043424 | 0.023385 | -0.089264 | 0.0024165 | Treated cells | estimated |
| CS-DID (equal event-time) | nan | nan | nan | nan | Equal post-event times | unsupported |
| SDID | nan | nan | nan | nan | Treated cells | unsupported |
| Matrix completion | nan | nan | nan | nan | Treated cells | unsupported |
| Horizontal ridge | nan | nan | nan | nan | Treated cells | unsupported |
| Multisynth (cohort-averaged) | nan | nan | nan | nan | Treated cells | unsupported |
| Multisynth (individual) | nan | nan | nan | nan | Treated cells | unsupported |
Intervals use the configured clusters and the estimator’s available inference. Hollow points have no computed interval; no new refit-bootstrap batch is run.
| Estimator | Reason |
|---|---|
| CS-DID (equal event-time) | csdid: matching the configured nonstandard fixed effects is not implemented. |
| SDID | sdid: matching the configured nonstandard fixed effects is not implemented. |
| Matrix completion | matrix-completion: matching the configured nonstandard fixed effects is not implemented. |
| Horizontal ridge | horizontal-ridge: matching the configured nonstandard fixed effects is not implemented. |
| Multisynth (cohort-averaged) | multisynth-cohort: matching the configured nonstandard fixed effects is not implemented. |
| Multisynth (individual) | multisynth-individual: matching the configured nonstandard fixed effects is not implemented. |
Event studies
Cohort homogeneity
The imported TestingInEventStudies deviations design tests positive-event-time cohort deviations jointly. This is the homoskedastic nested-model F-test; the estimator confidence intervals above use clustered inference.
**y__d: F(4, 6468) = 2.8664; p = 0.02188.** Homoskedastic nested-model F. 45 design columns.
Each line is a cohort deviation. The joint test restricts positive-event-time deviations to zero; event time 0 remains unrestricted.
Fitting settings and checks
| Specification | Estimator | Settings | Pooling |
|---|---|---|---|
| y__d | CS-DID | {} | {} |
| y__d | SDID | {} | {} |
| y__d | Matrix completion | {} | {} |
| y__d | Horizontal ridge | {} | {} |
| y__d | Multisynth (cohort-averaged) | {} | {} |
| y__d | Multisynth (individual) | {} | {} |
{
"did2s_vs_direct_imputation_max_post_difference": 1.0408340855860843e-17,
"package_aggregate_vs_estimable_cell_weights": null,
"saturated_vs_deviations_relative_rss_difference": 4.970294641423622e-12
}