BFI-MEBDI Machine Learning Competition 2024
Jointly organized by the Becker-Friedman Institute and the Minnesota Economics Big Data Institute
This page contains information on the 2023-2024 BFI-MEBDI Machine Learning Competition (description, rules, etc.) along with the Official Sample to be used in the Competition.
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 20203, you must be in the 2nd year or later in the economics PhD programs at the University of Minnesota Economics Department or University of Chicago (Economics Dept, Booth, or Harris School) 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.
Organizers
Stephane Bonhomme (U Chicago), Fatih Guvenen (UMN), Kirill Ponomarev (U Chicago), David Wiczer (FRB Atlanta)
Submission Deadline
February 16, 2024
by Noon US Central Time
PrizeS
First Prize: $7,500
Second Prize: $2,500
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2022 ML Competition Winners Announced: Click here to read!
Previous MEBDI ML Competitions & Winners
