We introduce a new software package for determining linkages between datasets without common identifiers. We apply these methods to three datasets commonly used in academic research on syndicated lending: Refinitiv LPC DealScan, the Shared National Credit Database, and S&P Global Market...

We use machine learning techniques on textual data to identify financial crises. The onset of a crisis and its duration have implications for real economic activity, and as such can be valuable inputs into macroprudential, monetary, and fiscal policy. The academic literature and the policy realm...

I exploit a natural experiment to show that household investment decisions depend on the manner in which information is displayed. Israeli retirement funds were prohibited from displaying returns for periods shorter than twelve months. In this setting, the information displayed was altered but...

Conventional value-elicitation experiments often find subjects provide higher valuations for items they posses than for identical items they may acquire. Plott and Zeiler (2005) replicate this willingness-to-pay/willingness-to-accept “gap” with conventional experimental procedures, but find...