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, well-organized, 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 computer-generated 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% | TBD |
|
Problem Set 2
|
15% | TBD |
|
Problem Set 3
|
15% | TBD |
Topics to be Covered
MLE; Logistic Regression; Ordinal and Nominal Variables; Poisson Models
Topics to be Covered
Poisson Models; Survival Models; Advanced Diff-in-diff models
Topics to be Covered
machine learning models; natural language processing; factor analysis