Dataset from the US Peer-to-peer Lending Platform with Macroeconomic Variables

Published: 31 August 2021| Version 2 | DOI: 10.17632/wb3ndt69gf.2
Contributor:
Asror Nigmonov

Description

We aggregate the United States (US) state-level data with LendingClub's loan book covering the period from 2008–2019. LendingClub is a FinTech lending company that provides loans through technology-driven platform. It was one of the pioneering and leading US peer-to-peer (P2P) lending platforms. Our dataset consists of over two million observations (N=2,703,430) with diverse loan, borrowers and state specific features. We provide the description of variables, descriptive statistics, and STATA code with the full dataset. The US possesses significant cross-state variation in terms of economic and demographic characteristics while having risk-sharing policies in the federal level to protect states' creditworthiness. This unique feature of our combined database creates an ideal opportunity to explore the P2P lending market within the context of macroeconomic variables. As the dataset covers 12-year period for all US states, it enables further cross-sectional and longitudinal analyses of FinTech lending market.

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Categories

Macroeconomics, Non-Bank Financial Institutions

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