How to improve consumer credit ratings

Stefania Albanesi interviewed by Tim Phillips, 08 November 2019

Doing a good job of deciding who can borrow is fundamental for the global economy. Stefania Albanesi tells Tim Phillips that current consumer credit ratings do a poor job at predicting which of us will default, and explains how she has used machine learning to improve them.
 

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Topics:  Financial markets

Tags:  consumer spending, Credit availability, credit rating industry

Stefania Albanesi

Professor of Economics, University of Pittsburgh, NBER Research Associate, CEPR Research Fellow

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