Schedule

Contents

Schedule#

Warning

Schedule may shift throughout the semester to best accommodate your learning!

Topics#

A list of topics we will cover can be found below. Note that topics may be subject to change.

  • Potential Outcomes

  • Causal Graphs

  • Identification and Estimation

  • Randomized Experiments

  • Observational Studies

  • Instrumental Variables

  • Regression Discontinuities

  • Difference-in-Differences

  • Synthetic Controls

  • Causal Machine Learning


Monday

Tuesday

Wednesday

Thursday

Friday

09/01

09/02

09/03
Introduction

WS 1
Survey 1

09/04

09/05
Lab: Coding setup

09/08
Simpson’s Paradox

Survey 1

09/09
WS 1

09/10
Potential Outcomes I

WS 2

09/11

09/12
Lab

09/15
Potential Outcomes II

09/16
WS 2

09/17
Estimation

WS 3

09/18

09/19
Lab

09/22
Causal Graphs I

09/23
WS 3

09/24
Causal Graphs II

09/25

09/26
πŸ”οΈ Mountain Day πŸ”οΈ

Proj 1

09/29
Observational Studies I

Proj 1

09/30

10/01
Observational Studies II

10/02

10/03
Lab

10/06
Regression

Proj 1 now due 10/09

10/07

10/08
Propensity Scores

WS 4

10/09

Proj 1

10/10
Lab

10/13
πŸ‚ Fall break 🍁

10/14
πŸ‚ Fall break 🍁

10/15
Matching

10/16

10/17
Recitation

Project 2
WS 4