pfs.event_study: pre/post windows around an exposure year (the
effective date is 1 January, so the exposure year is the first treated
year), log ratio of window means, difference in log changes against
the never-treated control set from pfs.exposure.control_codes (same
RVU status and decile band, no exposure within ±2 years), 95%
percentile-bootstrap interval over the controls with a fixed seed.
A code with no pre-period of its own (a new code or a successor) is
measured through its family's summed series (scope="family"), so
G2058 → 99439 is one continuous line. pre_post() gives single-series
window means for outcomes without a code-level control set
(occupation wages, employment). utilization_panel() ties an exposure
row, its pfs.utilization series, its controls and the estimate.
notebooks/event_study.py: pick one of nine fixture exposures, see the
treated services series with the exposure rule, the indexed control
band (10th–90th pct), the contrast table with its interval and FR
anchor, clinical-staff wages and health-care employment around the
same year, and a table of every fixture contrast with anchors. A 2025
exposure has no post-period until the 2025 PUF ships — stated, never
filled. Descriptive contrasts only; the notebook says so and the chat
only links here. Market/industry series are deferred: no keyless
quote source is reachable from the rack.
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