This page contains all of the following resources for each class meeting:

Relevant materials (if applicable, icons will become links) will be posted before class meets.

Last Update: 12:42:00 Thu Oct 29 2020

I. Data Analysis in R Reading Class Slides R Assignment
Preliminary Survey
1.1 Introduction to Econometrics
1.2 Meet R
1.3 Data Visualization with ggplot2
1.4 Data Wrangling in the tidyverse
1.5 Optimize Workflow: Markdown, Projects, and Git
Problem Set 1 due Sun Sept 6
II. Linear Regression and Statistical Inference Reading Class Slides R Assignment
2.1 Data 101 and Descriptive Statistics
2.2 Random Variables and Distributions
Problem Set 2 due Sun Sept 13
2.3 OLS Linear Regression
2.4 OLS: Goodness of Fit and Bias
2.5 OLS: Precision and Diagnostics
2.6 Statistical Inference
2.7 Inference for Regression
Problem Set 3 due Sunday Sept 27
Midterm Exam week of Sept 28
III. Causal Inference Reading Class Slides R Assignment
3.1 The Fundamental Problem of Causal Inference & Potential Outcomes
3.2 Causal Inference II: DAGs
3.3 Omitted Variable Bias
3.4 Multivariate OLS Estimators: Bias, Precision, and Fit
Problem Set 4 due Sun Oct 25
3.5 Writing an Empirical Paper
3.6 Regression with Categorical Data
3.7 Regression with Interaction Effects
3.8 Polynomial Regression
3.9 Logarithmic Regression
Problem Set 5
IV. Panel Data & Advanced Models Reading Class Slides R Assignment
4.1 Panel Data and Fixed Effects Models
4.2 Difference-in-Difference Models
4.3 Instrumental Variables Models
4.4 Regression Discontinuity Models
4.5 Binary Dependent Variables Models
4.6 Prediction, Classification, & Machine Learning
Problem Set 6 (Ungraded)
Empirical Research Paper Project Due Sunday Nov 22
Final Exam Tuesday Nov 24