In this article, we review the growing literature on financial technology (FinTech) lending—
the provision of credit facilitated by technology that improves the customer–lender …

This article reviews the recent literature on algorithmic fairness, with a particular emphasis
on credit scoring. We discuss human versus machine bias, bias measurement, group versus …

This paper assess the potential impact of Fintech on the banking industry. Results suggest
that, for commercial banks, development of Fintech leads to increased profitability, financial …

We study the effects of technological change on financial intermediation, distinguishing
between innovations in information (data collection and processing) and communication …

US fair-lending law prohibits lenders from making credit determinations that disparately
affect minority borrowers if those determinations are based on characteristics unrelated to …

Abstract Machine learning models have been criticized for reflecting unfair biases in the
training data. Instead of solving for this by introducing fair learning algorithms directly, we …

The cost of financial intermediation has declined in recent years thanks to technological
progress and increased competition. I document this fact and I analyze two features of new …

We exploit anonymized administrative data provided by a major fintech platform to
investigate whether using alternative data to assess borrowers' creditworthiness results in …

We study the consumption response to typical labor income shocks and investigate how
these vary by wealth and race. First, we estimate the elasticity of consumption with respect to …

Decision makers, such as doctors, judges, and managers, make consequential choices
based on predictions of unknown outcomes. Do these decision makers make systematic …