Course Material

Week 14: Data Essay Week

Week 13: Semester Wrap Up

Week 12: Count Data

You will work with another commonly used GLM and learn to model discrete positive data.

Week 11: Binary Data

This week you will learn the basics of how to model a binary dependent variable.

Week 10: The Likelihood Theory of Statistical Inference

This week will build the foundation for the second part of the course, and you will get acquainted with a different way to inference and estimation.

Week 09: Midterm

Week 08: Linear Regression: Diagnostics

In this final chapter on OLS, you will learn more about the assumptions used when doing regression analysis using OLS.

Week 07: Linear Regression: Interpreting Substantive Effects via the Simulation Method

You will learn to present to results of your statistical analysis in an accessible way.

Week 06: Linear Regression: Statistical Inference, Dummies, and Interactions

Here you can find the overview of the week and the readings. This week is all about categorical variables and heterogeneous effects.

Week 05: Linear Regression: Statistical Control & Causality

Here you can find the overview of the week and the readings. We look in more depth into statistical control and you learn how to select variables for models.