RegulationData.org

Welcome to RegData, developed by Patrick A. McLaughlin, Omar Al-Ubaydli and the Mercatus Center at George Mason University.


RegData is the first tool to allow for industry-specific quantification of federal regulation, permitting within-industry and between-industry analyses of the causes and effects of federal regulations. Watch the video to learn more.

Why quantify regulation?

In Moneyball, Oakland A’s general manager Billy Beane used an improved set of analytical gauges to create a better baseball team. He was only able to do so because Bill James and other pioneers of baseball statistics had created new gauges of player performance, such as the on-base plus slugging statistic, that improved upon the traditional gauges, such as batting average and subjective assessments by old-school scouts.

Regulations are similar to baseball players in the sense that some fail while others succeed. However, unlike baseball, there are not many objective measures of regulations. IRCD represents the first step in taking a Moneyball approach to studying regulation: if we can objectively measure regulations, we can use this information to help determine whether regulations efficiently achieve their intended goals.

A new way to measure regulations

The video above will walk you through how to graph regulatory restrictions by title. The graph to the right is of all restrictions in the U.S. Code of Federal Regulations from 1997 to 2010.

Regulation by industry

The video above will walk you through how to graph regulatory restrictions by title. The graph to the right compares the regulatory burden of Paper Manufacturing industry versus the mean industry from 1997 to 2010.

Mercatus

Regulatory Studies