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Report
Identifying term interbank loans from Fedwire payments data
Interbank markets for term maturities experienced great stress during the 2007-09 financial crisis, as illustrated by the behavior of the one- and three-month Libor. Despite widespread interest in these markets, little data is available on dollar interbank lending for maturities beyond overnight. We develop a methodology to infer information about individual term dollar interbank loans settled through the Fedwire Funds Service, the large-value bank payment system operated by the Federal Reserve Banks. We find a sharp increase in the dispersion of inferred term interbank interest rates, a ...
Working Paper
The Hidden Effects of Algorithmic Recommendations
Algorithms are intended to improve human decisions with data-driven predictions. However, algorithms provide more than just predictions to decision-makers—they often provide explicit recommendations. In this paper, I demonstrate these algorithmic recommendations have significant independent effects on human decisions. I leverage a natural experiment in which algorithmic recommendations were given to bail judges in some cases but not others. Lenient recommendations increased lenient bail decisions by 40% for marginal cases. The results are consistent with algorithmic recommendations making ...