FinTech online lending to consumers has grown rapidly in the post-crisis era. As argued by its advocates, one key advantage of FinTech lending is that lenders can predict loan outcomes more accurately by employing complex analytical tools, such as machine learning (ML) methods. This study...

The Main Street Lending Program (MSLP) was established by the Federal Reserve to supply credit to small and, especially, midsize businesses so they could weather COVID-19-induced disruptions. This study uses Dun & Bradstreet (D&B) data on the financial condition and overall viability of firms to...

Banks are compensated primarily through the net interest margin (NIM), which is the difference between the interest earned on their investments and the interest paid to their depositors and other creditors. In the low interest rate environment that has persisted since the Great Recession, banks...

Labor productivity (LP) in the United States has gone from being procyclical to acyclical since the mid-1980s. Using industry-level data, this paper first shows that total factor productivity (TFP), which is LP net of capital deepening, has also become much less correlated with output as well as...

The anemic pace of the recovery of the U.S. economy from the Great Recession has frequently been blamed on heightened uncertainty, much of which concerns the nation's fiscal policy. Intuition suggests that increased policy uncertainty likely has different impacts on industries with different...

Stablecoins are digital assets whose value is pegged to that of fiat currencies, usually the U.S. dollar, with a typical exchange rate of one dollar per unit. Their market capitalization has grown exponentially over the last couple of years, from $5 billion in 2019 to around $180 billion in...

This paper addresses the proper measurement of financial service output that is not priced explicitly. It shows how to impute nominal service output from financial intermediaries' interest income, and how to construct price indices for those financial services. We model financial intermediaries...

Rather than charging direct fees, banks often charge implicitly for their services via interest spreads. As a result, much of bank output has to be estimated indirectly. In contrast to current statistical practice, dynamic optimizing models of banks argue that compensation for bearing systematic...

This paper makes three points regarding the proper measurement of the output of financial intermediaries. Two of them concern the measurement of nominal financial output, especially banking output. First, we show that, to impute the nominal value of implicitly priced financial output, it is...

Rather than charging direct fees, banks often charge implicitly for their services via interest spreads. As a result, much of bank output has to be estimated indirectly. In contrast to current statistical practice, dynamic optimizing models of banks argue that compensation for bearing systematic...