Class Schedule

Date

Topic

Do Before Class

In-Class Exercise

Wed, Jan 8

Course Overview

Mon, Jan 13

Taxonomy of Questions

Types of Questions

Wed, Jan 15

Answering Questions

Converting stakeholder prompts to questions

Mon, Jan 20

NO CLASS; MLK DAY

Wed, Jan 22

Descriptive Questions

Link

Mon, Jan 27

CI: Potential Outcomes Framework

Potential Outcome Slides

Wed, Jan 29

CI: Potential Outcomes Framework

Link

Mon, Feb 3

CI: Experiments

  • Angrist and Piscke (MHE) Part 1 (pages 3-24)

  • Review linear regression in Python (WM Chapter 13, 13.1, 13.2, 13.3)

Link

Wed, Feb 5

  • Limitations of Experiments and ATE

Link

Mon, Feb 10

CI: Ghost Map

Link 1 Link 2

Wed, Feb 12

Mon, Feb 17

CI: Regression

  • Angrist and Piscke (MM), Chapter 2 (pp. 47-82).

Link

Wed, Feb 19

CI: Fixed Effects and Clustering

Mon, Feb 24

CI: Matching

Matching Methods for Causal Inference: A Review and a Look Forward

Wed, Feb 26

CI: Difference-in-Differences

Angrist and Piscke (MM), Chapter 5 (pp 178-208)

Mon, Mar 2

Backwards Project Design

Wed, Mar 4

CI: Natural Experiments

Mon, Mar 9

SPRING RECESS

Wed, Mar 11

SPRING RECESS

Mon, Mar 16

SPRING RECESS, COVID-19 EDITION

Wed, Mar 18

SPRING RECESS, COVID-19 EDITION

Mon, Mar 23

Prediction: ML versus Casual Inference

  • Fragility

  • Adversarial Users

  • Lucas Critique

  • Robograders

  • Project Proposal Draft Due

  • Final Project Proposal Due

  • Slides

Wed, Mar 25

Prediction: ML Bias

Mon, Mar 30

??

??

Wed, Apr 1

Project Presentations

7 minute presentations + 7 minutes of questions per group

  • Revised Project Proposal Due

Mon, Apr 6

Project Presentations

7 minute presentations + 7 minutes of questions per group

Wed, Apr 8

Project Presentations

7 minute presentations + 7 minutes of questions per group

Mon, Apr 13

??

Wed, Apr 15

??

Texts Referenced in Schedule: