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 reportUpstream and Downstream Impacts of College Merit-Based Financial Aid for Low-Income Students: Ser Pilo Paga in Colombia
Juliana Londono-Velez; Catherine Rodriguez; Fabio Sanchez (2020) · American Economic Journal: Economic Policy
report("aeraej-12", tranche="tranche100")Juliana Londono-Velez; Catherine Rodriguez; Fabio Sanchez (2020). American Economic Journal: Economic Policy. Appendix Table A6, Row 1, Column 1.
Source specification
Repeated student observations retain municipality effects and eligibility-group controls. Treatment-group-by-municipality identifies adoption; pre/post is the source clock. Observation clusters implement heteroskedasticity-robust inference.
| Source coefficient | Template on source sample | Source N | Template source-sample N |
|---|---|---|---|
| 0.038405 | 0.038405 | 2.8165e+06 | 2.8165e+06 |
Source-to-template coefficient difference: 4.78e-12, in original outcome units.
| Role | Column |
|---|---|
| Outcome | ai123 |
| Treatment | did |
| Unit | municipality_group |
| Time | post |
| Cluster | observation_id |
1 retained control columns. ss
Estimates below divide the outcome by its source-sample standard deviation, 0.364363. 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 |
|---|---|---|---|---|---|
| 2816322 | 2172 | 1111 | 1061 | 1 | 2816322 |
| Sample restriction | Count |
|---|---|
| initially treated units removed | 2 |
| additional rows removed | 196752 |
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 2172 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 | 0.10533 | 0.0041465 | 0.0972 | 0.11345 | Coefficient | estimated |
| Dynamic TWFE | 0.10533 | 0.0041465 | 0.0972 | 0.11345 | Treated cells | estimated |
| BJS / did2s | 0.10273 | 0.0041396 | 0.09462 | 0.11085 | Treated cells | estimated |
| Sun–Abraham | 0.10533 | 0.0041465 | 0.0972 | 0.11345 | 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: 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": 7.635651924159381e-06,
"package_aggregate_vs_estimable_cell_weights": null
}