Review lists

Use each item as a task you can explain, calculate and interpret.

Before the midterm: regression foundations

Define data, interventions, potential outcomes and DAG paths; explain adjustment and sampling. Lesson 01 · Practice
Derive the simple OLS slope; distinguish population errors from residuals; interpret units, logs and fit. Lesson 02 · Practice
Interpret multiple-regression coefficients and derive the omitted-variable contribution on a common sample. Lesson 03 · Practice
Explain FWL, its projection proof, unbiasedness, variance, degrees of freedom and VIF. Lesson 04 · Practice
State a null and reference; calculate intervals, linear contrasts and joint restrictions. Lesson 05 · Practice
Distinguish unbiasedness from consistency; explain LLN/CLT, sample-size rates and the LM restriction count. Lesson 06 · Practice
Translate functional forms, category comparisons, interactions and LPM probabilities; evaluate held-out prediction. Lesson 07 · Practice

Before the final: comprehensive review

Choose variance diagnostics, robust covariance or WLS/GLS; evaluate measurement, selection and influence problems. Lesson 08 · Practice
State the finite-sample time-series assumptions and calculate distributed-lag impact and cumulative responses. Lesson 09 · Practice
Interpret forms, indexes, nominal/real restrictions, trends, seasonality and dated indicators. Lesson 10 · Practice
Distinguish stationarity, persistence, weak dependence and dynamic completeness. Lesson 11 · Practice
Explain serial covariance and interpret DW/BG diagnostics with their nulls and lag units. Lesson 12 · Practice
Choose a mean revision, HAC or an error transformation; explain ARCH and overlapping response horizons. Lesson 13 · Practice
Derive panel transformations and conditional DiD; trace IV stages and separate validity, strength and inference. Lesson 14 · Practice
Interpret logit/probit probabilities, latent scales, likelihood and average versus at-average effects. Lesson 15 · Practice

For the comprehensive review, revisit the regression foundations as well. Finish by writing a short empirical memo that connects a question, a credible comparison, a model, a magnitude with uncertainty and a material limitation.