Assignment  Problem Set
General Guidelines
 While collaboration with fellow students on the problem set is encouraged, it is crucial that you independently write your own answers. You may ask each other questions and work together, but each student must produce their own written responses.
 Be sure to review the Academic Integrity Policy in the Syllabus before beginning the assignment.
 Answers should be clear, wellorganized, and legible. Ensure that your responses follow the order of the questions, and include the corresponding question numbers.
 Although handwritten answers will be accepted, typed mathematical expressions and computergenerated graphs are preferred. If you must submit handwritten answers, please ensure they are easy to read.
 Students must include a section explicitly detailing how Large Language Models (LLMs) were used to complete the problem set. List all prompts used. If LLMs were not utilized, state, "LLMs were not used in this assignment."
 Include your Python/R/Stata script as an appendix.
Assignments  % of Final Grade  Due 

Problem Set 1

15%  October 16 
Problem Set 2

15%  November 16 
Problem Set 3

15%  TBD 
Topics to be covered
 Experimental Design
 Instrumental variable analysis
Topics to be covered
 Regression Discontinuity
 DiffinDiff
Topics to be covered
 Machine Learning
 Factor Analysis