Schedule

Here’s your roadmap for the semester!

Readings should be completed before each class session
Assignments are due by 11:59 PM on the day they are due
Class materials (slides, in-class activities, etc.) will be added on the day of class

	Evaluation, design, & causation	Reading	Assignment	Class
August 26	What is program evaluation? + Introduction to R, RStudio, and the tidyverse
September 9	Regression and inference
September 11	Problem set 1
September 16	Theories of change
September 18	Problem set 2
September 23	Counterfactuals and DAGs I
September 25	Problem set 3
September 30	Counterfactuals and DAGs II
October 1	Problem set 4
October 7	Threats to validity
October 9	Problem set 5
October 15–20	Exam 1
	Statistical tools	Reading	Assignment	Class
October 14	Randomization
October 21	Difference-in-difference I
October 23	~~Problem set 6~~
October 28	Difference-in-difference II
October 30	Problem set 7
November 4	Regression discontinuity I
November 9	Problem set 8
November 11	Instrumental variables I
November 16	Problem set 9
November 18	Instrumental variables II & Regression discontinuity II
December 2	Problem set 10
November 21–December 1	Exam 2
	Applied evaluation	Reading	Assignment	Class
December 2	Work day
December 4	Code-through due
December 9	Ethics and open science
	Final	Reading	Assignment	Class
December 16	Final project due (submit online by 4:30 PM)