Schedule

Contents

Schedule#

Note

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

09/07

09/08

09/09

09/10
Introduction

WS 1
Survey 1

09/11

09/14

09/15
Simpson’s Paradox

Survey 1

09/16
WS 1

09/17
Potential Outcomes I

WS 2

09/18

09/21

09/22
Potential Outcomes II

09/23
WS 2

09/24
Estimation

WS 3

09/25

09/28

09/29
Causal Graphs I

09/30
WS 3

10/01
Causal Graphs II

Project 1
Concept check 1

10/02

10/05

10/06
Observational Studies I

10/07
Concept check 1

10/08
No class: have a great Fall break!

10/09

10/12
🍂 Fall break 🍁

10/13
🍂 Fall break 🍁

10/14

10/15
Observational Studies II

WS 4

10/16
Project 1
Due Sunday 10/18

10/19

10/20
Regression

10/21

10/22
Propensity Scores

Concept check 2

10/23
WS 4

10/26

10/27
Matching

Project 2

10/28
Concept check 2

10/29


10/30

11/02

11/03


Final project proposal

11/04

11/05


WS 5

11/06
Project 2

11/09

11/10


11/11
WS 5

11/12


Project 3
Concept check 3

11/13
Final project proposal

11/16

11/17


11/18
Concept check 3

11/19


11/20

11/23

11/24


Project 3

11/25
November break 🦃

11/26
November break 🦃

11/27
November break 🦃
Contents