Objective and data usage

The objective of this website is to report summary data and maps for U.S. county-level FinTech and total mortgage lending amounts as they are used in Fuster, Plosser, Schnabl and Vickery (2019). If you use any part of the data, we kindly ask you to cite the paper on which this work was based:

Fuster, Andreas, Matthew Plosser, Philipp Schnabl, and James Vickery. "The role of technology in mortgage lending." Review of Financial Studies (2019): Paper

FinTech lender classification

The linked folder (zipped, 2MB) contains two items. First, the spreadsheet lender_national_shares gives the annual ranked lists of all U.S. mortgage lenders, their FinTech classification, their national mortgage loan origination volume, and their national market share over the period 2010-2017. These lists are effectively annual analogues to Table 1 in Fuster, Plosser, Schnabl and Vickery (2019). Second, the spreadsheet fintech_classification provides the list of FinTech-classified lenders (and their HMDA RSSD IDs) before and after 2016, consistent with Table 1. Following the paper, an originator is classified as a FinTech lender in the spreadsheet if they enable a mortgage applicant to obtain a pre-approval online.

County-level FinTech lending

The database contains county-level annual FinTech mortgage lending and total mortgage lending for the period 2010-2017. The data are available in Stata (zipped, 288KB) and CSV (zipped, 231KB) versions.

Lending share maps

County-level FinTech mortgage lending share maps for the years 2010-2017 are available in PDF (zipped, 39.2MB) and PNG (zipped, 1MB) versions. These maps make use of annual county-level shapefiles published by the U.S. Census Bureau. These maps may be replicated using only Census shapefiles and the data linked above.

Updates and feedback

If you have questions about these data or maps, please send an email to Andrew Teodorescu at amt9827@stern.nyu.edu.