ECO351 · Fall 2026
Practice the econometrics
Work through a comparison, explain its assumptions, and check the result.
Questions follow the lecture sequence and their corresponding chapters. Each page combines calculations, interpretation, and an adjustable example. Worked answers appear after an attempt; written explanations include a self-check list.
- Lecture 01 · Course Orientation and Economic Questions
Chapter 1 · Economic questions and data · 5 tasks, including an adjustable example
- Lecture 02 · Random Variables and Probability Distributions
Chapter 2 · Probability and conditional distributions · 5 tasks, including an adjustable example
- Lecture 03 · Random Sampling and Sampling Distributions
Chapter 2 · Random sampling and the CLT · 5 tasks, including an adjustable example
- Lecture 04 · Estimation, Hypothesis Tests, and Confidence Intervals
Chapter 3 · Tests and confidence intervals for a mean · 5 tasks, including an adjustable example
- Lecture 05 · Covariance, Correlation, and Scatterplots
Chapter 2 · Covariance and correlation · 5 tasks, including an adjustable example
- Lecture 06 · Probability and Statistics Review plus Quiz 1
Chapters 2–4 · Review and the least-squares principle · 5 tasks, including an adjustable example
- Lecture 07 · The Linear Regression Model and Measures of Fit
Chapter 4 · Population and fitted models; fit · 5 tasks, including an adjustable example
- Lecture 08 · Least-Squares Assumptions and Estimation in Stata
Chapter 4 · Least-squares assumptions · 5 tasks, including an adjustable example
- Lecture 09 · Sampling Distribution of OLS and Coefficient Tests
Chapter 5 · Inference for a regression coefficient · 5 tasks, including an adjustable example
- Lecture 10 · Confidence Intervals and Heteroskedasticity
Chapter 5 · Confidence intervals and heteroskedasticity · 5 tasks, including an adjustable example
- Lecture 11 · OLS Foundations and Omitted-Variable Bias
Chapter 6 · Omitted-variable bias · 5 tasks, including an adjustable example
- Lecture 12 · Multiple Regression Model
Chapter 6 · Partial effects and partialling out · 5 tasks, including an adjustable example
- Lecture 13 · Multiple Regression Applications in Stata
Chapter 6 · Reading and comparing applied regressions · 5 tasks, including an adjustable example
- Lecture 14 · Multiple-Regression Inference: From Single to Joint Hypotheses
Chapter 7 · Joint hypotheses and VIF · 5 tasks, including an adjustable example
- Lecture 15 · Interpreting Tests and Choosing Controls
Chapter 7 · Contrasts and choosing controls · 5 tasks, including an adjustable example
- Lecture 16 · F Tests and Causal Model Building
Chapter 7 · SSR and causal DAGs · 5 tasks, including an adjustable example
- Lecture 17 · Nonlinear Relationships: Quadratic and Polynomial Regression
Chapter 8 · Quadratic and polynomial regression · 5 tasks, including an adjustable example
- Lecture 18 · Logarithms and Nonlinear Interpretation
Chapter 8 · Logarithms and units · 5 tasks, including an adjustable example
- Lecture 19 · Interactions and Group Comparisons
Chapter 8 · Interactions · 5 tasks, including an adjustable example
- Lecture 20 · Nonlinear Applications and an Introduction to IV
Chapters 8 and 12 · Nonlinear comparisons and endogenous prices · 5 tasks, including an adjustable example
- Lecture 21 · Instrumental Variables and Two-Stage Least Squares
Chapter 12 · Instrumental variables and 2SLS · 5 tasks, including an adjustable example
- Lecture 22 · Panel Data and Fixed Effects
Chapter 10 · Panel data and fixed effects · 5 tasks, including an adjustable example
- Lecture 23 · Panel Applications
Chapters 7, 8, and 10 · Panel applications and synthesis · 5 tasks, including an adjustable example
- Lecture 24 · Binary Outcomes: LPM, Logit, and Probit
Chapter 11 · Binary outcomes · 5 tasks, including an adjustable example
- Lecture 25 · Binary-Model Applications
Chapter 11 · Binary-model applications and review · 5 tasks, including an adjustable example
- Lecture 26 · Term-Project Presentations and Course Wrap-Up
Course synthesis · Project presentations · 5 tasks, including an adjustable example
- Supplement · 21 · Instrumental Variables and Two-Stage Least Squares - Supplement
Chapter 12 · Instrument validity extensions · 4 tasks, including an adjustable example
- Supplement · 22 · Panel Data and Fixed Effects - Supplement
Chapter 10 · Preparing a two-date panel · 4 tasks, including an adjustable example
- Lecture 24 · Binary Outcomes: LPM, Logit, and Probit - Supplement
Chapter 11 · Probability contrasts and uncertainty · 4 tasks, including an adjustable example
- Lecture 25 · Binary-Model Applications -- Supplement
Chapter 11 · Local effects and empirical reporting · 4 tasks, including an adjustable example