Format: Online
Number of Students: 2
Duration of Project: 4 weeks, starting in the first week of July 2026
Project Supervisor: Basak Altan, Gonul Sengul
Research Areas: Labor Economics, Industrial Organization, Sports Analytics,
Daily Supervisor: Basak Altan, Gonul Sengul
Project Description:
The student will assist in constructing a structured dataset combining NBA player salaries, roster information, game-level outcomes, player participation (minutes played), and lineup-level performance statistics. The work will focus on data collection, cleaning, organization, and documentation to prepare high quality datasets, ready to be used for econometric analysis.
About the Project:
This research project aims to use data from the National Basketball Association (NBA), where salaries and performance are publicly observable at high frequency. By examining how wage dispersion interacts with team structure, the project aims to contribute to broader debates about inequality and incentives.
Project Objectives:
Project Tasks:
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Benefits for the Student:
Requirements:
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