A causal-inference–native library of the empirical methods that let economists argue, credibly, that X causes Y.
I’m Eko Wicaksono, a researcher at Monash University working on empirical microeconomics and causal inference. This is my working library on the “credibility revolution” — the identification strategies that turned applied economics into a design-based science.
Every note is built around identification logic, not summary: the estimand it targets, the assumptions it rests on, and exactly where those assumptions break. Notes link out to atomic concept pages and to method Maps of Content, so you can follow a single idea across the whole literature.
Start from a method
- Foundations — potential outcomes, randomization, and the estimands
- Difference-in-Differences — parallel trends and the staggered-timing revolution
- Instrumental Variables — LATE, exclusion, and weak instruments
- Regression Discontinuity — continuity at the cutoff
- Propensity-Score Matching — selection on observables
- Randomized Controlled Trials — power, attrition, and pre-analysis plans
- Synthetic Control — building a counterfactual from donors
Or open the graph in the sidebar and wander.