AI can help predict consumer defaults – NBER paper

Researchers say “deep learning” could be useful in designing macro-prudential policies

big-data-web

Researchers from the University of Pittsburgh find a form of artificial intelligence (AI) can help detect consumer defaults. They present their results in a working paper published by the National Bureau of Economic Research.

Stefania Albanesi and Domonkos Vamossy use “deep learning”, a form of AI, which they say is particularly useful when data has a large number of dimensions and shows complex, non-linear interactions. The approach creates a model based on large quantities of data and then

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@centralbanking.com or view our subscription options here: http://subscriptions.centralbanking.com/subscribe

You are currently unable to copy this content. Please contact info@centralbanking.com to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Central Banking? View our subscription options

Register for Central Banking

All fields are mandatory unless otherwise highlighted

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Central Banking account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account

.