Decisionmakers who confront a long sequence of criminal opportunities act differently from those who confront a single opportunity. If the sequence is long enough, people will take big chances in return for very small gains, even if the probability of detection is very great and the scale of...

Uncertainty is a ubiquitous concern emphasized by policymakers. We study how uncertainty affects decision-making by the Federal Open Market Committee (FOMC). We distinguish between the notion of Fed-managed uncertainty vis-a-vis uncertainty that emanates from within the economy and which the Fed...

In this paper we study the neoclassical growth model with idiosyncratic income risk and aggregate risk in which risk sharing is endogenously constrained by one-sided limited commitment. Households can trade a full set of contingent claims that pay off depending on both idiosyncratic and...

Charging infrastructure is critical to electric vehicle (EV) adoption, but for chargers to be most useful, EV drivers need to know in real time where they are and whether they are working and available. We investigate the availability of real-time data from DC fast chargers on six major US...

Using quarterly micro data on capacity utilization among Swedish manufacturing firms, we show that idiosyncratic factors are much more important than aggregate influences in explaining variation in capacity utilization across firms and over time. Idiosyncratic does not mean unpredictable,...

Climate change presents new risks for property in the United States. Due to the high cost and sometimes unavailability of location-specific property risk data, home buyers can greatly benefit from acquiring knowledge about these risks. To explore this, a large-scale nationwide natural field...