Using massive U.S. mortgage lending data, we propose a method to infer a borrower’s sexual orientation without a self-identification requirement and demonstrate the method’s potential to measure sexual orientation of the U.S. population at the local level annually over decades...

The AEA interviewed select poster presenters at the 2018 conference in Philadelphia to discuss their research and the broader implications of their work. View the full list of videos.