Materials

Unit	Topic	Lecture	Supplementary Materials
Unit 1 – Fundamentals of Linear Regression	Bivariate Regression	Lecture 1 Lecture 2	–
	Assumptions of Ordinary Least Squares	Lecture 3	Stata Script R Script Data
	Hypothesis Testing	Lecture 3	Stata Script R Script Data
	Multiple Regression	Lecture 4	Stata Script R Script Data
	Dummy Variable Regression	Lecture 5	Stata Script R Script Data
Unit 2 – Regression Models: Extensions and Problems	Functional Form: Non-Linear and Non-Additive Models	Lecture 6	Stata Script R Script Data
	Violations of Assumptions: Multicollinearity, Heteroskedasticity, Autocorrelation	Lecture 7	Stata Script R Script Data
	Endogenous Regressors	Lecture 8	Stata Script R Script Data
Unit 3 – Models for Non-Continuous Dependent Variables	Introduction to Logit and Probit Models	Lecture 9	Stata Script R Script Data
	Estimation and Interpretation of Logit and Probit Models	Lecture 10	Stata Script R Script Data
	Models for Ordinal and Nominal Outcomes	Lecture 11	Stata Script R Script Data
Unit 4 – Models for Causal Inference	Counterfactuals, Potential Outcomes, and Causal Inference	Lecture 12	Stata Script R Script Data
	Selection on Observables: Regression and Matching	Lecture 12	Stata Script R Script Data
	Selection on Unobservables: Instrumental Variables and Difference-in-Differences	Lecture 13	Stata Script R Script Data
	Fixed Effects and Panel Models	Lecture 13	Stata Script Data