Econometrics for decisions that survive meetings
This page collects how we stage practice: what data you touch first, how models are narrated mid-estimation, which tools belong in an analyst kit, and how capstones prove you can ship — not merely finish — an empirical story.
01 — Dataset previews
Every cohort begins with curated previews: dictionaries, known gaps, and merge hazards called out before anyone estimates. You learn to refuse heroic extrapolation when provenance is thin — a skill that saves downstream teams weeks.
02 — Model walkthroughs
Walkthroughs are live, not cinematic: instructors narrate coefficient paths as diagnostics change, so you see when to stop tweaking and when to rewrite the question. Screens include Stata, R, and Python where relevant — always with limitation language on-screen.
03 — Analyst toolkit
- Interpretation checklist tied to Thailand Metric Echelon memo templates
- Replication folder layout with Makefile-style ordering
- Revision log for forecasts when new Thai releases land
- Ethics prompts for instruments and sensitive attributes
04 — Capstone project track
Capstones require a defence-ready appendix: data audit, estimation, limitations, and a five-minute executive summary that does not hide uncertainty behind verbs like “drive” or “unlock.” Mentors sign off only when artifacts meet rubric — certificates follow evidence, not attendance alone.