Ontology highlight
ABSTRACT:
SUBMITTER: Sun H
PROVIDER: S-EPMC6511003 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Proceedings of the National Academy of Sciences of the United States of America 20190416 19
Using massive US mortgage lending data, we propose a method to infer a borrower's sexual orientation indirectly without a self-identification requirement and demonstrate the method's potential to approximately measure the sexual orientation of the US population at the local level annually over decades. We continue to examine the lending practices to same-sex borrowers and its spillover effects. The persistent results since 1990 reveal that, in contrast with otherwise comparable different-sex loa ...[more]