Schedule

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: 14:31:20 Sat Sep 21 2019


1. Data Analysis in R Reading Class Slides Assignment R
Preliminary Survey
1.1 Introduction to Econometrics
1.2 The Quest for Causality
1.3 Meet R
1.4 Data Visualization with ggplot2
1.5 Data Wrangling in the tidyverse
1.6 Optimize Workflow: Projects, Markdown, and Git
Problem Set 1 due Sept 19
2. Linear Regression Reading Class Slides Assignment R
2.1 Data 101 and Descriptive Statistics
2.2 Random Variables and Distributions
Problem Set 2 due Sept 26
2.3 OLS Linear Regression
2.4 Goodness of Fit, Bias, and Precision
2.5 Regression Diagnostics
2.6 Inferential Statistics
2.7 Inference for Regression with infer
Problem Set 3
Midterm Exam
3. Extensions to Regression Reading Class Slides Assignment R
3.1 Omitted Variable Bias
3.2 Multivariate OLS Estimators
3.3 Model Specification Strategies
3.4 How to Write an Empirical Paper
3.5 Dummy Variables
3.6 Categories and Interactions
3.7 Polynomial Models
3.8 Logarithmic Models
4. Panel Data Models Reading Class Slides Assignment R
4.1 Panel Data and Fixed Effects Models
4.2 Difference in Difference Models
5. Advanced Regression Reading Class Slides Assignment R
5.1 Instrumental Variables Models
5.2 Regression Discontinuity Models
5.3 Binary Dependent Variables Models
5.4 Machine Learning
Final Exam Reading Class Slides Assignment R
Project Due