We use online search data to predict car sales in the German and UK automobile industries. Search data subsume several distinct search motives, which are not separately observable. We develop a model linking search motives to observable search data and sales. The model shows that predictions of...

A large body of chiefly laboratory research has attempted to demonstrate that people can exhibit choice-averse behavior from cognitive overload when faced with many options. However, meta-analyses of these studies, which are generally of one or two product lines, reveal conflicting results....

We provide evidence of unreported trading by corporate insiders in their own firm's shares and link this activity to future firm earnings and analyst forecast error. Unreported trading represent discrepancies between insider shareholdings from trades they report to the Exchange and their...

This study examines the use of analytic techniques to develop a model that predicts the potential default of Small Business Administration (SBA) backed loans issued to American franchisees. Data collected by World Franchising (WF) in their 2008 survey and by SBA from 2000-2008, covering 271...

This Article examines how contract drafters can use data on contract outcomes to inform contract design. Building on recent developments in contract data collection and analysis, the Article proposes “predictive contracting,” a new method of contracting in which contract drafters can design...