Updated Schedule

I will keep this page with the updated schedule for the semester. You can find these readings on Canvas.

Week	Session	Topic	Required reading	Method	Deliverable
1: 01/20	1	Introduction to the course
1: 01/22	2	Geography of Upward Mobility in America	Chetty, Friedman, Hendren, Jones and Porter (2018)- Non-technical summary
2: 01/27	3	Intro to R and data
2: 01/29	4	Intro to Visualization, Wrangling and RMarkdown			First short report (In class) - Project 0 (Canvas Link)
3: 02/03	5	Intro to Causal Effects of Neighborhoods	Bergman, Chetty, DeLuca, Hendren, Katz and Palmer (2019) - Non-technical summary	Experiments (RCTs)
3: 02/05	6	Characteristics of High-Mobility Areas and Correlation Analysis	Bergman, Chetty, DeLuca, Hendren, Katz and Palmer (2019) - Introduction	Quasi-experiments	Project 1 <U+2013> Part 1 (for Saturday 02/07) Canvas Link
4: 02/10	7	Moving to Opportunity and place based policies		Cost-benefit analysis
4: 02/12	8	Historical and International Evidence on and Drivers of Inequality and Mobility			Project 1 <U+2013> Part 1 and 2 (for Saturday 02/14) Canvas Link
5: 02/17	9	Continuation of Historical and International Drivers of Mobility
5: 02/19	10	Review for Midterm
6: 02/24	11	Midterm
6: 02/26	13	Midterm solution, and Project 2 work in class
7: 03/03	13	Higher Education and Upward Mobility	Dynarski, Libassi, Michelmore and Owen (2018)	Regression discontinuity
7: 03/05	14	Recap of R and Quarto Documents			Project 2 (Tuesday 03/10) Canvas Link
8: 03/10	-	Spring Break - No Class
8: 03/12	-	Spring Break - No Class
9: 03/17	15	Causal Effects of Higher Education
9: 03/19	16	Primary education	Chetty, Friedman and Rockoff (2011)- Non-technical summary	Experiments
10: 03/24	17	Teachers and Charter Schools		Event study designs, competitive equilibrium
10: 03/26	18	Racial Disparities in Economic Opportunity	Bertrand, and Mullainathan (2004)	Dynamic models and steady states
11: 03/31	19	Improving judicial decisions	Kleinberg, Lakkaraju, Leskovec, Ludwig and Mullainathan (2017)	Machine learning, implicit bias
11: 04/02	20	Immigration	Tabellini (2020)	Instrumental variables
12: 04/07	21	Implementing a simple machine learning model in R - Part 1
12: 04/09	22	Implementing a simple machine learning model in R - Part 2			Project 3 (for Tuesday 04/14) Canvas Link
13: 04/14	23	Implementing a simple machine learning model in R - Part 3
13: 04/16	24	Political Economy
14: 04/21	25	Income taxation	Diamond and Saez (2011)	Supply and demand; synthetic control
14: 04/23	26	Intro to air and water pollution, and externalities	Isen, Rossin-Slater, and Walker (2017)- Non-technical summary	Difference in difference	Project 4 - (for Saturday 04/25) Canvas Link
15: 04/28	27	Review session
15: 04/30	-	No Class - Reading Day
16: 05/12	-	Final Exam at 1 pm