Wave 3 · Phase 3 (9 – 29 Nov) · Spec §6 (congestion effect, pay-rise event study), §12 · Decisions D7, D9, D12 · Feeds L11, L15
The two policy analyses: a year-over-year difference-in-differences for congestion pricing (Q2, Q3) and a weekly event study around the 1 Aug 2025 pay rise (Q6).
sql/metrics/cp_effect.sql, sql/metrics/pay_event.sql, pipeline/studies.pyconfig/periods.yaml: the excluded-holiday-weeks key onlyreports/congestion_pricing.md, reports/pay_rise.mdtests/test_cp_effect.py, tests/test_pay_event.pyperiods.yaml with each holiday’s nametrips_all, fare_base / miles, driver_pay / fare_base): growth of treated ÷ growth of control − 1. Report the median and the p10–p90 range across weeks, for both zone lists (D9)driver_pay / miles, driver_pay / minute and fare_base / miles; the same weeks of 2024 as the seasonal reference; W31 as a transition week (D12)pipeline/studies.py writes the report tables. The narrative is written by hand: “estimated effect”, never “caused”; limits from SPEC §12python -m pipeline.studies reproduces every number in the reportsOnly this lane writes here. Newest first.
| Date | State | Note |
|---|---|---|
| not started |
Blocked: none
Hand-off