Schedule

Here’s your roadmap for the semester!

Readings include textbook chapters and occasional journal articles
Assignments are due by the beginning of class unless otherwise stated
Class materials contain extra explanations, math/statistical properties & proofs, and other helpful resourcesThese “online appendices” keep the slides nice and de-cluttered!
Slides are “Xaringan” presentations in html that can be opened in any browserFile > Print > Save as PDF if you wish to download them
R materials contain extra tutorials, videos, practice exercises and answers on using R

	Data Analysis in R	Reading	Class	Slides	Assignment	R
	Preliminary Survey
August 27 (Tu)	Introduction to Econometrics
August 29 (Th)	The Quest for Causality
September 3 (Tu)	Meet R
September 5 (Th)	Data Visualization with ggplot2
September 10 (Tu)	Data Wrangling in the tidyverse
September 12 (Th)	Random Variables and Distributions
	Linear Regression	Reading	Class	Slides	Assignment	R
September 17 (Tu)	OLS Linear Regression
September 19 (Th)	Goodness of Fit, Bias, and Precision
September 23 (Th)	Regression Diagnostics
	Inferential Statistics
	Inference for Regression with infer
February 15 (F)	Midterm Exam
February 18 (M)	No class; Presidents’ Day
	Extensions to Regression	Reading	Class	Slides	Assignment	R
	Omitted Variable Bias
	Multivariate OLS Estimators
	Model Specification Strategies
	How to Write an Empirical Paper
	Dummy Variables
	Categories and Interactions
	Polynomial Models
	Logarithmic Models
	Panel Data Models	Reading	Class	Slides	Assignment	R
	Panel Data and Fixed Effects Models
	Difference in Difference Models
	Advanced Regression	Reading	Class	Slides	Assignment	R
	Instrumental Variables Models
	Regression Discontinuity Models
	Binary Dependent Variables Models
	Final	Reading	Class	Slides	Assignment	R
April 23 (T)	Final project due (submit online by 11:59 PM)