Alex Tabarrok is a friend-of-a-friend (does that make us “friends once removed”?) I’ve read lots of his blog posts and watched many of his videos, but I’ve never actually met him in real life, so this profile was quite interesting:
Tabarrok came by his libertarianism early. When he was growing up in Toronto, his family would debate political and ethical issues over dinner every night. One evening the Tabarroks were debating the moral value of rock and roll. “I said, ‘Well, look at this band, Rush: they even quote this philosopher Ayn Rand in their songs,’ ” he recalled recently. “My mother said, ‘Oh yeah, you’d probably like her,’ and I felt embarrassed because I was using this in an argument and I actually hadn’t read any Ayn Rand before.” Tabarrok thinks his mother probably regrets her suggestion to this day.
Tabarrok made his way to the U.S. for graduate studies at George Mason, returning there as a professor in 2002. He now directs its Center for Study of Public Choice and is the economics chair at GMU’s Mercatus Center, a research institute heavily funded by Charles Koch and cofounded by Richard Fink, a former Koch Industries executive. The center, which boasts ties to prominent right-wing groups like the American Legislative Exchange Council, funds research to promote free-market policy solutions and the rollback of regulations. (Mercatus is Latin for “market.”) The Wall Street Journal has called Mercatus “the most important think tank you’ve never heard of.”
A few years ago, Tabarrok got a new toy to play with. Until recently, there was never great data available for researchers who wanted to empirically study the effects of regulation. But, in 2014, two other Mercatus Center research fellows developed a new public-use database called RegData, which captures everything published in the Code of Federal Regulations each year. Measuring regulation has always been surprisingly tricky, because when an agency puts out a rule, it can contain any number of new individual legal requirements. RegData addresses that problem by scrubbing the Code for key words such as “shall,” “required,” and “may not.” The theory is that this more accurately measures the number of regulations than simply counting the total number of pages in the Code, as past studies tended to do. RegData also uses artificial intelligence techniques to predict which industry each regulation will affect. The upshot is that, for the first time, economists could more confidently measure federal regulations over time and by industry. In theory, that would make it easier to build the case that regulations were hurting the economy.
