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Subject area
Baylor Economics | Bachelor's level

Causal Inference


19 Jul 2021 — 28 Jul 2021

Scientific inquiry is dependent on progress made in theory, measurement, observation and causal inference. This class will review the fundamental and contemporary theories of causal inference as found in Neyman, Rubin and Pearl. Such theories are crucial both in scientific inquiry and policy design. These theories define causality in terms of comparing historical events to their counterfactuals. We will review several research designs that can under varied assumptions and with appropriate statistical models estimate these causal effects credibly. The class will have prescribed assignments in R as the secondary objective of the course is to help students gain competency in the implementation of these designs as well as understanding them more generally.

This class will consist of all-day lectures and exercises, from 9am to 5pm Texas time each class day. Class days are Monday, Wednesday, and Friday in week 1, and Monday and Wednesday in week 2.


Prerequisites

Read this website as preparation: https://www.tellingstorieswithdata.com/

Textbook: Causal Inference: The Mixtape, written by the professor.
https://mixtape.scunning.com/



Class sessions (GMT-06:00) Central Time (US & Canada)
  • Monday, 09:00 AM— 05:00 PM (Lecture)
  • Wednesday, 09:00 AM— 05:00 PM (Lecture)
  • Friday, 09:00 AM— 05:00 PM (Lecture)


Teacher
Profressor Scott Cunningham
Course Website
Open
Mode of Participation
Active & Silent
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Baylor Economics | PhD level

Teaching Assistant for "Causal Inference" with Prof. Scott Cunningham


19 Jul 2021 — 28 Jul 2021

Our favorite causal inference guru Prof. Scott Cunningham is teaching a free class on causal inference for students from low- and middle-income countries. We're now looking for TAs for this class! The work is condensed into a few days in July (see dates), and will involve some live teaching and some grading.


Prerequisites

You have to be a PhD student, or hold a PhD, in economics or a related discipline, and have a solid grasp of econometric methods, especially causal inference. Ideally you've previously taught/TA'd for an econometrics class. When you sign up, please describe in detail whether and how you meet these criteria.

Important: In contrast to the rest of this website, you do NOT have to be a citizen/resident of a low- or middle-income country to be a TA for this class.

Thank you!



Class sessions (GMT-06:00) Central Time (US & Canada)
  • Monday, 09:00 AM— 05:00 PM (Lecture)
  • Wednesday, 09:00 AM— 05:00 PM (Lecture)
  • Friday, 09:00 AM— 05:00 PM (Lecture)
  • Tuesday, 09:00 AM— 12:00 PM (Practice Session)
  • Thursday, 09:00 AM— 12:00 PM (Practice Session)


Teacher
Profressor Scott Cunningham
Mode of Participation
Active only
Please sign up to apply for courses