Proper application of the value of a statistical life (VSL) is essential to preventing the systematic undervaluation of life throughout the world. The values used by U.S. federal agencies to monetize prospective risk reductions formerly were too low but have increased over time and are now in a range consistent with the economic literature. However, the values agencies assign to fatalities in setting regulatory sanctions are extremely low—often a fraction of the current estimates for VSL estimates used in regulatory contexts. Further, other countries still monetize risk reductions using techniques that undervalue life relative to VSL estimates. 

As a teacher of benefit-cost analysis (BCA), the review by the current administration of the Clean Power Plan (CPP), a cornerstone of the Obama era climate change regulations, presents what we often call “teachable moments.” Specifically, how could the CPP produce benefits that exceed costs in the Obama administration and then costs that exceed benefits in the Trump administration? 

The Journal of Benefit Cost Analysis and the Policing Project at New York University School of Law teamed up to host a symposium on the use of benefit-cost analysis in a domain in which it is all too absent: policing. (Policing tends to have many definitions, but generally we mean it here to refer to any use of force or surveillance of the populace for reasons of achieving public safety.) The goal of this Symposium on Benefit-Cost Analysis of Policing Practices, and the conference that preceded it, is to interest more scholars in working in this vital field, and to identify and begin to tackle some of the methodological challenges the field faces.

Rational action lies at the heart of neoclassical economics. Sovereign consumers make choices that maximize their utilities. By observing the tradeoffs implicit in actual choices, or eliciting tradeoffs for hypothetical choices, benefit-cost analysts impute willingness to pay for desirable policy impacts and willingness to accept undesirable ones. Yet, it appears that sometimes consumers seem to make mistakes. The field of behavioral economics seeks to provide a more realistic psychological model of consumers and other economic actors that helps us understand apparent deviations from neoclassical rationality. The 2017 Nobel Memorial Prize in Economic Sciences recognizes Richard H. Thaler’s pioneering contributions to behavioral economics.