A retrospective exercise is an opportunity to learn and improve. With this in mind, an international consortium led by CSIL (Centre for Industrial Studies) recently developed an evaluation framework to carry out a retrospective assessment of infrastructure projects in several environmental sectors. The framework was developed as part of a study being carried out on behalf of the European Commission (Directorate-General for Regional and Urban Policy) to look retrospectively at 10 of the major infrastructural projects co-financed by the Commission over the period 2000 to 2013. While it will come as no surprise that, in retrospect, forecasts are imperfect, learning from mistakes or unexpected outcomes may improve the quality of forecasts. In turn, better forecasts may lead to better policy-making. This post reports some preliminary results from the study; more complete results will be presented at the Society for Benefit-Cost Analysis Conference in March 2019.

Nudges are all the rage in behavioral economics and public policy applications around the world because of their potential for doing good at little or no cost. Economists, including Kip Viscusi (2018), have begun examining previously unexplored sides of nudges including some involving energy consumption. An often employed nudge in the area of conserving energy and reducing pollution is the home energy report, where after a home energy survey a household receives a message, usually monthly, that compares its energy use to that of neighbors and suggests ways to reduce electric or gas use and, in turn, its carbon footprint. Each month the consuming unit can also see how its energy use compares to its own past usage too. The subtleties of the benefits of home energy surveys and home energy reports is the subject of a recent article, "Differential and Distributional Effects of Energy Efficiency Surveys: Evidence from Electricity Consumption," available open access at the Journal of Benefit-Cost Analysis.

Cambridge Elements has created a series on Public Economics, edited by Robin Boadway, Frank Cowell and Massimo Florio. This is part of a major project by Cambridge University Press, which is intended to provide peer-reviewed analytical surveys and frontier topics in all the disciplines. We happily note that the first published “Element” in this series is Cost Benefit Analysis, by Per-Olov Johansson and Bengt Kriström (2018). Cost-Benefit Analysis is available as a free download for a limited time, and is for sale (relatively inexpensively) in print at Cambridge and at online booksellers, such as Barnes and Noble. The Element is just above eighty pages (plus a short technical annex and a long list of references).

On September 24, 2018, experts gathered at the George Washington University (GW) to commemorate the 25th anniversary of Executive Order (E.O.) 12866—Regulatory Planning and Review—and discuss the implications of its provisions and future prospects. The Society for Benefit-Cost Analysis (SBCA) cosponsored the event with the GW Regulatory Studies Center, ABA Section of Administrative Law and Regulatory Practice, and the Trachtenberg School of Public Policy and Public Administration. (Additional information on the event, including commentaries by the speakers, and videos when they become available, are posted on the GW website.)

A new article in the Fall Issue of the Journal of Benefit-Cost Analysis (JBCA),  “Some Pitfalls of Practical Benefit-Cost Analysis,”  describes common pitfalls that well-meaning analysts fall into. Over the past 23 years I have worked on and supervised hundreds of benefit-cost analyses. Most of these analyses have dealt with public health regulations proposed by the Food and Drug Administration, although on occasion I have reviewed analyses from other government agencies and academia. I’ve seen these pitfalls occur many times and at one time or another I’ve been guilty of most of them.

September 2018 marks the 25th anniversary of Executive Order (EO) 12866, which requires U.S. federal agencies, “in deciding whether and how to regulate, [to] assess all costs and benefits of available regulatory alternatives, including the alternative of not regulating.” It further states that, “in choosing among alternative regulatory approaches, agencies should select those approaches that maximize net benefits (including potential economic, environmental, public health and safety, and other advantages; distributive impacts; and equity), unless a statute requires another regulatory approach.”

As the feasibility of using benefit-cost analysis (BCA) as a practical tool of policy analysis has increased, so too has the need for materials to aid those of us who are called upon to teach BCA. Teaching Benefit-Cost Analysis: Tools of the Trade, edited by Scott Farrow (Professor of Economics, University of Maryland, Baltimore County), is a distinctive and welcome addition to the collection of such materials.

Pricing Lives: Guideposts for a Safer Society  (Princeton University Press, 2018) is a tour de force. It provides an entertaining, accessible account of the modern approach to valuing mortality risk. In non-technical prose, it covers the major aspects of the approach and how it should be applied to social decisions.  It shows how US regulatory agencies’ adoption of the ‘value per statistical life’ (VSL) to replace the ‘cost of death’ (i.e., human capital) approach has led to more-protective regulation and argues the VSL approach should be extended beyond regulation, to private-sector decisions about product design and to government sanctions for regulatory violations. It also finds that the values used outside the US are typically far too small; revising these upward would lead to more-protective and more-appropriate regulation in other countries.

Despite the obvious attraction of Benefit-Cost Analysis (BCA) for policy evaluation, its implementation rate varies across countries and sectors. Although the concept of BCA can be traced back to European thinkers, it was first applied in the United States. The evaluation by the U.S. Army Corps of Engineers’ of the U.S. Flood Control Act of 1936 is often regarded as the first use of BCA, but President Ronald Reagan’s Executive Order 12291 issued in 1981 provided considerable impetus to its use in the United States. Although perceptions of BCA as anti-regulatory caused some adversaries of BCA to argue for its elimination in policy making, BCA is now viewed also as a tool to promote regulation.

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.