We explore whether the transparency in banks' lending activities enhances the harmonization of credit terms that a bank offers across its different geographic regions. We take advantage of a novel loan-level reporting initiative by the European Central Bank, which requires repo borrowing banks...

By leveraging machine-learning algorithms and using nontraditional digital data derived primarily from borrowers’ mobile devices, digital lenders have vastly expanded access to credit in developing economies for millions of individuals without a prior credit history. At the same time,...

We explore whether behavioral biases impede the effective processing and interpretation of soft information in private lending. Taking advantage of the internal reporting system of a large federal credit union, we delineate three important biases likely to affect the lending process: (1) limited...