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 reportRegulation, Ownership, and Costs: A Historical Perspective from Indian Railways
Dan Bogart; Latika Chaudhary (2012) · American Economic Journal: Economic Policy
report("aeraej-299")Dan Bogart; Latika Chaudhary (2012). American Economic Journal: Economic Policy. Table 2.
Source specification
| Source coefficient | Template on source sample | Source N | Template source-sample N |
|---|---|---|---|
| -0.085079 | -0.085079 | 519 | 519 |
Source-to-template coefficient difference: 1.76e-11, in original outcome units.
| Role | Column |
|---|---|
| Outcome | lworkexp |
| Treatment | state |
| Unit | prail_id |
| Time | year |
| Cluster | prail_id |
22 retained control columns. lavg_cfuel; lwage; lpass_1mile; lgood_1mile; lmile_total; lloco_engine; ltotal_vehicles; prail_id::1:year; prail_id::2:year; prail_id::3:year; prail_id::4:year; prail_id::5:year; prail_id::6:year; prail_id::7:year; prail_id::8:year; prail_id::9:year; prail_id::11:year; prail_id::12:year; prail_id::13:year; prail_id::14:year; prail_id::15:year; prail_id::20:year
Estimates below divide the outcome by its source-sample standard deviation, 1.21946. 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 |
|---|---|---|---|---|---|
| 272 | 8 | 7 | 1 | 7 | 8 |
| Sample restriction | Count |
|---|---|
| initially treated units removed | 7 |
No never-treated group is available. The window ends before the latest cohort adopts; that cohort is the untreated comparison group within this window.
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: 8 of 8 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 | -0.059417 | 0.036041 | -0.14464 | 0.025806 | Coefficient | estimated |
| Dynamic TWFE | -0.039601 | 0.044942 | -0.14587 | 0.066669 | Treated cells | estimated |
| BJS / did2s | -0.16595 | 0.1205 | -0.45088 | 0.11899 | Treated cells | estimated |
| Sun–Abraham | -0.015893 | 1.8266e-13 | -0.015893 | -0.015893 | Treated cells | estimated |
| CS-DID (equal event-time) | nan | nan | nan | nan | Equal post-event times | unidentified |
| 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) | UnidentifiedTarget: CS-DID cannot estimate 120 observed post-treatment group-time cells with the configured controls; no target cells were dropped. See csdid-group-time.json and package log. |
| SDID | sdid: this adapter does not implement covariate adjustment; controls retained. |
| Matrix completion | matrix-completion: this adapter does not implement covariate adjustment; controls retained. |
| Horizontal ridge | horizontal-ridge: this adapter does not implement covariate adjustment; controls retained. |
| Multisynth (cohort-averaged) | multisynth-cohort: this adapter does not implement covariate adjustment; controls retained. |
| Multisynth (individual) | multisynth-individual: this adapter does not implement covariate adjustment; controls retained. |
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: homogeneity test not identified.** No residual degrees of freedom or residual variation for the F-test.
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": 1.2581810310274832e-07,
"package_aggregate_vs_estimable_cell_weights": null
}