Topics
Getting started
- Jan 23
- Jan 25
- Does inequality matter?
- Jencks 2002 p. 49–57
Income inequality. Visualizing macrodata
During this module, I suggest reading all of R4DS Ch 3 and 27.
- Jan 27
- Using R and
ggplot - R4DS 1
- Using R and
- Jan 30
- Feb 1
- Feb 3
- Sampling for Population Inference
- HW 1 released
Income inequality. Aggregating microdata
During this module, I suggest reading all of R4DS Ch 4, 5, 18, and 19.
- Feb 6
- Feb 8, 10
- Working with microdata
- R4DS 5, 12.3
- HW 1 due
- Feb 13
Generate your own question
- Feb 15
- HW 1 peer grades due
- Feb 17, 20, 22, 24
- Mar 1
Moral arguments
- Mar 3
- Rawls and justice as fairness
- Watch before class
- HW 2 released
- Mar 6
- Nozick and individual rights
- Watch 3:49–5:05 before class
Wealth inequality
Opportunity and social mobility
- Mar 15
- Mar 17
- Mar 20
- Mar 22
- Discussion. Predicting life outcomes
- HW 3 released
- Mar 24
- Mar 27
- Mar 28
- Submit predictions by 5pm
- Mar 29
- Opening the holdout
- Mar 31
- Predictability of life trajectories
- Optional Salganik et al. 2020
- HW 3 due
Interventions to promote equality. Statistical estimators
- Apr 10
- Apr 12
- Apr 14
- Estimators of causal effects, model-free
- HW 3 peer grades due
- HW 4 released
- Apr 17
- Estimators of causal effects, model-based
Pause. Meta-level conversation
- Apr 19
- Asking research questions
- Optional Lundberg, Johnson, Stewart 2021
- Apr 21
- Project group work
- HW 4 due
Interventions to promote equality. Machine learning
- Apr 24
- Machine learning estimators of causal effects
- Optional resource. Stanford short course videos
Projects
- Apr 26, 28
- Project group work
- May 1
- Project writeup due
- May 1, 3, 5
- Project presentations
- May 8
- Closing discussion