Problem Set

General Guidelines

This is an individual assignment. 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. There will be two problem sets throughout the course, each consisting of a few questions. Problem sets must be typed and submitted electronically. Some problems will require the use of statistical tools or software. Submissions will be made through Moodle on Gradescope, with Turnitin enabled. AI use statement is required.

Grace Period: Late submissions will be accepted for up to 24 hours after the due date with no penalty and without needing to request an extension. After the 24-hour grace period, late assignments will be accepted with a 25% deduction for each additional day submitted late.

Component % of Final Grade Due
Problem Set 1
10% 02/21 (Saturday)
Problem Set 2
15% TBD
Topics to be Covered

Descriptive Statistics, Measurements, and Data Visualization

Topics to be Covered

Multinomial Logistic Regression; Poisson Models; Diff-in-Diff

Topics to be Covered

machine learning models; natural language processing; factor analysis