Schedule

Contents

Schedule#

Warning

As this is a new course, the schedule may change 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

01/27

01/28
Introduction

WS 1
Survey 1

01/29
Tony 3-5pm

01/30
Simpson’s Paradox

01/31

02/03
Bhargavi 6-7pm
WS 1
Survey 1

02/04
Potential Outcomes I

WS 2

02/05

  • Tony 5-6pm
  • Bhargavi 6-7pm

02/06
❄️ Snow day ❄️
Tony 1-2pm (Zoom)

02/07

02/10

  • Tony 4-5pm (Zoom)
  • Bhargavi 6-7pm
WS 2

02/11
Potential Outcomes II

  • Tony 2-3pm
  • Tony 5-6pm
WS 3

02/12

  • Tony 3:30-4:30pm
  • Bhargavi 6-7pm

02/13
Estimation

  • Tony 1-2pm

02/14

02/17

  • Bhargavi 6-7pm
WS 3

02/18
Causal Graphs I

  • Tony 2-3pm
  • Tony 5-6pm

02/19

  • Tony 5-6pm
  • Bhargavi 6-7pm

02/20
Causal Graphs II/Stratification

  • Tony 1-2pm
Project 1

02/21

02/24

  • Bhargavi 6-7pm

02/25
Observational Studies I

  • Tony 2-3pm
  • Tony 5-6pm

02/26

  • Tony 5-6pm
  • Bhargavi 6-7pm

02/27
Observational Studies II

  • Tony 1-2pm

02/28

03/03

  • Bhargavi 6-7pm

Project 1

03/04
Regression


  • Tony 2-3pm
  • Tony 5-6pm
WS 4
Survey 2

03/05

  • Tony 5-6pm
  • Bhargavi 6-7pm

03/06
Propensity Scores


  • Tony 1-2pm

03/07

03/10
WS 4
Survey 2

03/11
Matching

Project 2

03/12

03/13
Observational study wrap-up

03/14

03/17 - 3/23
🌼 Spring break 🌸

03/24

03/25
Vectorization, Ethics, Final Project

Final Project

03/26

03/27
Quasi-Experiments

WS 5

03/28

03/31
Project 2

04/01
Instrumental Variables I

04/02

04/03
Instrumental Variables II

04/04
Project 3
WS 5
Extended to 4/06

04/07
Final Project proposal

04/08
Regression Discontinuities I

04/09

04/10
Regression Discontinuities II

04/11

04/14

04/15
Diff-in-diff I

Project 3
WS 6

04/16

04/17
Diff-in-diff II

04/18

04/21
WS 6

04/22
Synthetic Control

04/23

04/24
Machine Learning for Causality

04/25
Final Project checkpoint

04/28

04/29
BOOM: no class

04/30

05/01
Class presentations
Survey 3

05/02

05/05

05/06
Class presentations and wrap-up
Survey 3

05/07

05/08

05/09
Final Project
Extended to 5/11