This is a re-post of an article originally published on pundit.co.nz. It is here with permission.
Anyone can call themselves an ‘economist’. Many do, despite having no qualifications in economics and hardly any formal training; they often make elementary errors. That is the result of a conscious decision of the economics profession which resists barriers to exit and entry. In contrast other professions have restrictions, often for good reasons; I am glad my medical advisers are not only qualified but also registered. However, claiming to be expert on economics to contribute to the public commentary without any expertise, is confusing to those with more humble understandings.
On the other hand there are those who have a high reputation in the economics profession but who don’t seem to be really economists. Consider Steven Levitt, who has written of himself, ‘I am having trouble mastering the tools of my own profession. If you ask my students whether I know calculus, they will say “not very well”. I’m not proud of the fact, but I’m a realist. If you ask the really great economic thinkers like Gary Becker and Kevin Murphy how often I’m right when I try to apply Chicago price theory, they will simply tell you that I am showing a lot of improvement, because they are kind.’
And yet in 2003 Levitt won the John Bates Clark Medal, awarded every two years by the American Economic Association to the most promising US economist under the age of 40. Today he is a Distinguished Service Professor of Economics at the University of Chicago.
He says, ‘the only thing I am good at, really and honestly, is asking questions which people seem to find interesting, and figuring out how to trick the data into answering those questions.’ (I explain what he means by ‘trick’ below.)
His most famous and controversial finding, with John Donohue, is that the Roe-Wade Supreme Court decision which legalised abortions resulted in lower crime rates a couple of decades later. One issue was whether the statistical analysis was correct. A lively debate led to some further analysis which strengthened the conclusion.
Levitt’s claim that he ‘tricks the data’ is misleading. He does not torture it until it confesses, nor does he confuse correlation with causation. Rather, he uses advanced statistical tests. A key one in this study was that some US states increased access to abortion some years before the Supreme Court decision legalising it and their decline in the crime rate was earlier. States with higher abortion rates had greater falls in their crime rate.
Of course there are those who claim the research finding supports increased accessibility to abortion. Actually it does not: research rarely leads to a policy conclusion on its own. For instance, someone opposed to abortion might conclude that the research suggests that those who have abortions which lead to criminal behaviour are living in adverse circumstances (it seems likely that the women involved take these circumstances into consideration when making their decision). The policy conclusion may well be that the state should provide more support to those who do not have abortions. (One of the research findings is that abortions do not reduce the birth rate in the long run; rather, they lead to mothers delaying the birth to a better stage of their life cycle.) Such cerebration has not been prominent in the anti-abortion lobby, which is sad.
Levitt makes a point about race and crime:
It is true that, on average, crime involvement in the US is higher among blacks than whites. Importantly, however, once you control for income, the likelihood of growing up in a female-headed household, having a teenage mother, and how urban the environment is, the importance of race disappears for all crimes except homicide. (...the homicide gap is partly explained by crack markets.) In other words, for most crimes, a white person and a black person who grow up next door to each other with similar incomes and the same family structure would be predicted to have the same crime involvement.
One wonders whether that is true for Māori and Pakeha? I don’t think anybody has done the statistical comparison. It seems likely that if the comparison of crime rates were adjusted for socioeconomic differences the gap between Māori and Pakeha would be markedly reduced, but would it be eliminated? If it were, it would make various (woolly) explanations such as ‘racism’ and ‘colonialism’ redundant.
Instructively, almost every study Levitt has done would not be classified as ‘economic’ and would not be referred to in a standard economics text. The list includes:
- Abortion;
- Automobile anti-theft devices;
- Cheating by teachers in schools;
- Cheating in sumo wrestling;
- Criminal age;
- Discrimination in game shows;
- Drunk driving and accident rates;
- Effects of electoral campaign spending;
- Federal spending benefits congressional incumbents;
- Finances of a drug gang;
- Having a distinctively black name is primarily a consequence rather than a cause of poverty and segregation;
- Penalty kicks in soccer;
- Police hiring;
- Politics – the median voter theorem;
- Prison populations;
- Ridesharing.
So is Steven Levitt an economist? Clearly, high-powered economists think he is. What makes him one, I think, is the quality and thoroughness of his empirical investigations, including a willingness to review a study when someone comes with a criticism of it. What makes him an attractive one is his humility. I bet you he is much better at calculus and price theory than he claims.
A properly trained economist will have done some ‘econometrics’, that is, the training in empirical investigation. Many who claim to be economists would not meet that hurdle, which is why their opinions are frequently detached from reality.
Freakonomics: A Rogue Economist Explores the Hidden Side of Everything by economist Steven Levitt and journalist Stephen J. Dubner.
*Brian Easton, an independent scholar, is an economist, social statistician, public policy analyst and historian. He was the Listener economic columnist from 1978 to 2014. This is a re-post of an article originally published on pundit.co.nz. It is here with permission.
9 Comments
Many who claim to be economists would not meet that hurdle, which is why their opinions are frequently detached from reality.
A quick read of Licence to be Bad-how economics corrupted us-by Johnathan Aldred will demonstrate that very clearly. Alternatively, Econned by Yves Smith is, to say the least, interesting. When reviewing it, Robert Skidelsky( Keynes' biographer) said this; " A wonderful book which combines firsthand knowledge of financial markets with a devastating attack on the scientific pretensions of economics". It's full of gems as in the chapter Financial Economics, Courtesy P.T. Barnum. Let me quote briefly from P47; "In other words, the model bears perilous little resemblance to any world of commerce we will ever see. What follows from Arrow-Debreu is absolutely nothing. And remember, this paper is celebrated as one of the crowning achievements of economics".
There could be a lot of truth in that.
If economists knew anything of any value, why are we in such a mess.
I have rarely if ever heard any economist give any advice that would be useful in averting economic harm to the economy. They are masters at telling us what has happened after the event when it is blatantly obvious to anybody with half a brain.
Are they too beholden to their masters the politician/ruling class, their employers, and cravenly telling them what they want to hear, or is any wise advice from them ignored? Or both? Or do they not know anything of practical use?
For example, many 'bank' economists are saying future rate rises are likely. But are they really?
Worldwide wholesale rates are actually falling. Of course, the banks stand to make more money if they can convince you to 'fix long' as you believe rates will stay high or could go higher while they borrow from falling wholesale markets.
Maybe anything that comes from the mouths of 'bank economists' should carry a disclaimer? Anyone care to have a crack at what the disclaimer should be?
We welcome your comments below. If you are not already registered, please register to comment.
Remember we welcome robust, respectful and insightful debate. We don't welcome abusive or defamatory comments and will de-register those repeatedly making such comments. Our current comment policy is here.