We investigate the impact of peer-to-peer lending on the small business loans originated by US depository institutions that are subject to the Community Reinvestment Act. We present a model where a borrower can choose between a traditional bank and a crowdlending platform and show that the entry...

Peer-to-business lending refers to online platforms facilitating loans from individuals to smalland medium-sized enterprises (SMEs). We conjecture that easy-to-understand risk ratings conveyed by the platform play a pronounced role in influencing the borrowing success of SMEs and that more...

We exploit two policy interventions in Berlin, Germany, to causally identify the impact of Airbnb on rental markets. While the first intervention significantly reduced the number of high-availability Airbnb listings bookable for most of the year, the second intervention led to the exit of...

Governments increasingly use changes in tax rules to combat evasion. We develop a general approach to point-identify tax compliance along with supply and demand elasticities; identification requires data on prices and quantities before and after changes in tax enforcement and a demand or supply...

Since giving to religious organizations constitutes a substantial portion of total charitable giving, an understanding of the determinants of religious giving is a vital policy concern. Drawing on a novel congregation-level panel dataset, we examine whether religious giving is driven by...

This article analyzes how the General Data Protection Regulation (GDPR) has affected the privacy practices of FinTech firms. We study the content of 308 privacy statements respectively before and after the GDPR became binding. Using textual analysis methods, we find that the readability of the...

We develop a novel firm-level measure of cybersecurity risk using textual analysis of cybersecurity-risk disclosures in corporate filings. The measure successfully identifies firms extensively discussing cybersecurity risk in their 10-K, displays intuitive relations with quantitative measures of...

Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on U.S. GDP,...