The Economics of Speed: The Electrification of the Streetcar System and the Decline of Mom-and-Pop Stores in Boston, 1885-1905

Wei You (2021) · American Economic Journal: Applied Economics

Published

October 10, 2026

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 report
report("aeraej-152", tranche="tranche100")

Wei You (2021). American Economic Journal: Applied Economics. Table 3.

Source specification

The focal 25-foot treatment band is compared conditional on the source 75-foot-band and CBD interactions. Grid effects and baseline establishment-count weights are retained.

Source coefficient Template on source sample Source N Template source-sample N
-0.1795 -0.1795 330 330

Source-to-template coefficient difference: 5.83e-16, in original outcome units.

Role Column
Outcome Sole
Treatment treat25_after
Unit grid_band
Time year
Cluster grid

4 retained control columns. treat25; treat75; treat75_after; treatCBD_after

Estimates below divide the outcome by its source-sample standard deviation, 0.247712. 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
330 165 55 110 1 55

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 165 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 -0.72464 0.13407 -0.99343 -0.45586 Coefficient estimated
Dynamic TWFE -0.72464 0.13407 -0.99343 -0.45586 Treated cells estimated
BJS / did2s -0.72139 0.13339 -0.98882 -0.45395 Treated cells estimated
Sun–Abraham -0.72464 0.13407 -0.99343 -0.45586 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": 4.523605712236645e-09,
  "package_aggregate_vs_estimable_cell_weights": null
}