Spring 2026 Data Science for Policy IA7800 section 001

Conducting Empirical Research in Economi

Empirical Research-Econom

Call Number 10290
Points 3
Grading Mode Standard
Approvals Required None
Instructor Jeffrey G Jr Shrader
Type SEMINAR
Method of Instruction In-Person
Course Description

Pre-req: any Quant III course. Instructor Managed Registration. Join Vergil waitlist and apply at https://forms.gle/fjM8zkoSx9encCo49.  The main outcome of the course will be a complete, novel empirical research paper. During the first half of the course, you will review empirical methods, learn about the structure of a high-quality research paper, and process the data for your project. The focus will be on learning how empirical methods—including not only regression-based causal inference but also data processing and measurement—are used in practice. We will draw on examples of excellent applied economics research papers to highlight best practices. By the middle of the semester, you will be expected to have completed initial analysis of your project. The remaining portion of the semester will be spent revising and improving drafts of the research paper, culminating in a presentation of results and submission of a final, publication-quality research paper.  An emphasis of the class will be on real-world practice of handling, cleaning, and processing data. To this end, students will help build and maintain a database of data sets used for their analyses. Over time, this database will become a resource that future students can draw on for their own analyses.

Web Site Vergil
Department Data Science for Policy
Enrollment 0 students (25 max) as of 5:05PM Sunday, August 10, 2025
Subject Data Science for Policy
Number IA7800
Section 001
Division School of International and Public Affairs
Open To SIPA
Section key 20261DSPC7800U001