Labor Productivity and Fraud Enforcement
Public Financial Management Major (O'Neill School of Public & Environmental Affairs)
Victoria Perez (O'Neill School of Public & Environmental Affairs)
This project will use novel data to look at how fraud enforcement units organize themselves. The main idea here is that certain kinds of employees may be more useful for different kinds of fraud enforcement, but no one has ever considered which of those employee types matter most. We will use recently created employee data to look at how Medicaid fraud units operate and patterns of highly productive units. This project relates to health economics, labor economics, law & economics, as well as insurance regulations.
Technology or Computational Component
The project involves analyzing data with a statistical analytic software called STATA. We will show the mentee how the collected data will be formatted and analyzed using STATA.