OBJECTIVE: Design a Machine Learning algorithm that provides the best out-of-sample prediction (imputation) of individual earnings above a topcoding threshold using information from individuals’ (topcoded) earnings dynamics in years preceding the imputation.

ELIGIBILITY: To be eligible, as of September 2023, you must be in the 2nd year or later in the economics PhD programs at the University of Minnesota Department of Economics or University of Chicago (Kenneth C. Griffin Department of Economics, Booth School of Business, or Harris School of Public Policy) and be in good standing. Each student can enter the competition individually or form a team with one other eligible student from the same school (team of two). To enter the competition, teams must notify their decision to participate to organizers via email by October 31, 2023.

Further details and other competition rules are described in the document below.

• 2023-24 MEBDI ML Competition Description and Rules ⇣
• Download Official Sample for the Competition ⇣

ORGANIZERS: Stephane Bonhomme, Fatih Guvenen, Kirill Ponomarev, and David Wiczer

SUBMISSION DEADLINE: February 16, 2024 by 12pm CST

PRIZES:
First Prize: $7,500
Second Prize: $2,500