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 reportDoes Abolishing User Fees Lead to Improved Health Status? Evidence from Post-Apartheid South Africa
Shinsuke Tanaka (2014) · American Economic Journal: Economic Policy
report("aeraej-167")Shinsuke Tanaka (2014). American Economic Journal: Economic Policy. Table 3.
Source specification
Repeated child observations are indexed by community and survey wave, retaining source household controls. The comparison adds a survey-wave effect to the source community-effects model.
| Source coefficient | Template on source sample | Source N | Template source-sample N |
|---|---|---|---|
| 0.63804 | 0.63804 | 1071 | 1071 |
The source and comparison coefficients use different specifications or aggregation targets, as stated above; they are not an exact-replication comparison.
| Role | Column |
|---|---|
| Outcome | waz |
| Treatment | postXhigh |
| Unit | clustnum |
| Time | year |
| Cluster | clustnum |
14 retained control columns. fedu; medu; hhsizep; ln_totminc; immuniz; non_clinic93; age93_0; age93_1; age93_2; age93_3; age98_0; age98_1; age98_2; age98_3
Estimates below divide the outcome by its source-sample standard deviation, 1.58743. 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 |
|---|---|---|---|---|---|
| 1070 | 53 | 25 | 28 | 1 | 53 |
| 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: 53 of 53 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 | 0.40193 | 0.1689 | 0.063012 | 0.74086 | Coefficient | estimated |
| Dynamic TWFE | 0.40193 | 0.1689 | 0.063012 | 0.74086 | Treated cells | estimated |
| BJS / did2s | 0.20952 | 0.13199 | -0.055339 | 0.47438 | Treated cells | estimated |
| Sun–Abraham | 0.40193 | 0.1689 | 0.063012 | 0.74086 | 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 1 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.** Only one treated cohort remains on the common supported sample.
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": 2.8338725505117068e-08,
"package_aggregate_vs_estimable_cell_weights": null
}