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 reportHometown Ties and the Quality of Government Monitoring: Evidence from Rotation of Chinese Auditors
Jian Chu; Raymond Fisman; Songtao Tan; Yongxiang Wang (2021) · American Economic Journal: Applied Economics
report("aeraej-514")Jian Chu; Raymond Fisman; Songtao Tan; Yongxiang Wang (2021). American Economic Journal: Applied Economics. Table 3 col.
Source specification
| Source coefficient | Template on source sample | Source N | Template source-sample N |
|---|---|---|---|
| -0.47147 | -0.47147 | 2939 | 2940 |
Source-to-template coefficient difference: 1.03e-14, in original outcome units.
| Role | Column |
|---|---|
| Outcome | violate3 |
| Treatment | local_city |
| Unit | icity |
| Time | year |
| Cluster | icity |
17 retained control columns. male; age; tenure; tenure2; edulevel; edufin; fromaud; fromfin; fromsup; fromcitygov; lngdppc; sec; lnpop; lngovrev; govbalance; finv; edu
Estimates below divide the outcome by its source-sample standard deviation, 1.88877. 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 |
|---|---|---|---|---|---|
| 2758 | 261 | 19 | 242 | 8 | 261 |
| Sample restriction | Count |
|---|---|
| initially treated units removed | 15 |
| post adoption untreated rows removed | 104 |
| 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 261 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 | -0.36184 | 0.12852 | -0.6149 | -0.10877 | Coefficient | estimated |
| Dynamic TWFE | -0.40931 | 0.14543 | -0.69568 | -0.12294 | Treated cells | estimated |
| BJS / did2s | -0.39794 | 0.10453 | -0.60377 | -0.19212 | Treated cells | estimated |
| Sun–Abraham | -0.40005 | 0.10191 | -0.60073 | -0.19936 | 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 37 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: F(21, 2397) = 2.8287; p = 1.864e-05.** Homoskedastic nested-model F. 90 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": 3.9986092570387655e-07,
"package_aggregate_vs_estimable_cell_weights": null,
"saturated_vs_deviations_relative_rss_difference": 4.918322614166476e-16
}