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...

The measurement of bank output, a difficult and contentious issue, has become even more important in the aftermath of the devastating financial crisis of recent years. In this paper, we argue that models of banks as processors of information and transactions imply a quantity measure of bank...

Financial institutions provide their customers a variety of unpriced services and cover their costs through interest margins - the interest rates they receive on assets are generally higher than the rates they pay on liabilities. In particular, banks pay below-public-market interest rates on...

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 present an optimizing model with...

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...

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...

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...

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...

This paper investigates whether small firms have experienced worse tightening of credit conditions during the Great Recession than large firms. To structure the empirical analysis, the paper first develops a simple model of bank loan pricing that derives both the interest rates on loans actually...

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...