ARNOLD KLING
August 14, 2011
The Top Political Contributors
August 11, 2011
Gender and the New Commanding Heights
August 11, 2011
Jamie Galbraith Makes an Assumption
August 11, 2011
Macroeconometrics: The Science of Hubris
August 10, 2011
Real and Nominal Bond Yields
BRYAN CAPLAN
August 14, 2011
The Effect of Thumb Sucking on Income
August 12, 2011
The Voice of Cold, Hard Truth to All Would-Be Educators
August 12, 2011
Ability, Morality, and Prosperity: A Paper and a Report
August 11, 2011
The Theory of Time and Frittering
August 10, 2011
Male Variance and the Remnants of the Gender Gap
DAVID HENDERSON
August 9, 2011
Hayek in "Unbroken", Part Two
August 8, 2011
Hayek in "Unbroken"
August 5, 2011
James Bovard on the Peace Corps
August 4, 2011
Summers Way Off on FDR and 1941
August 3, 2011
The "Amazon" Tax




more specialized labor = more alienation? Marxist thoughts feel icky.
Unrelated to your continuous variable analysis, but their graph itself is really disturbingly deceptive. It is one of the worst offenders of the Y-axis scale trick I've seen in a while. Putting the 0-11 year cohort as a nearly invisible bar while having 16+ be gigantic, when in reality the differential is only about 8% of the height of the top bar if taken from a 0 base.
(I checked by the way and it is Oreopoulos and Salvanes' graph, not Bryan's)
I would like to know whether the effect is driven by highly educated who feel they are working in jobs that do not utilize their skills. We might see that folks working in jobs that require additional schooling are much happier, though well educated folks working in unskilled jobs are especially frustrated. A quick test would be whether variance increases with education.
Maybe it's because English and Sociology professors spend entire classes telling their students that working (contributing to society) is "wage slavery"?
I've redone the graph without distorting the vertical axis: http://img837.imageshack.us/img837/4034/jobsatisfaction.png">
http://img837.imageshack.us/img837/4034/jobsatisfaction.png
I am not sure "pricless" is entirely correct (even though the effects discussed in the paper is very difficult to monetize - perhaps impossible?). But, it shows that all the discussion on this blog (and others on this topic) where economists talk about the "social return" to education is nonsensical. Before having a grip of all these non-pecuniary effects (causal, the monetary value etc.) please admit that you are ignorant as to what the social return of education is. Hence, whether or not society today "over-educates" people is not something that can be answere with the data that is out there...today at least.
My experience as a teacher is that students who continue their education are the students who have the desire and ability to do jobs which require further education and those who don't often are quite happy with jobs which don't require further education. It seems to me the goal should be to have a system which makes it possible for people to be able to get the education they need to perform the job they want at the lowest price.
Perhaps its that the more education you have the more likely you are to be overqualified. After all, we've seen a pretty drastic hollowing out of the job market.
I've never once had to use any of the physics I spent years learning during my undergrad and phd on the job. I've been in this job for 4 years, and I've spent 20% of my time every day looking for work that actually involves doing some science. I don't hate my job, but my satisfaction isn't particularly high, either.
With all due respect, "years of education" is too broad a metric to mean much...if various *kinds* of education result in widely differing job satisfaction rates, i.e. if engineers and computer programmers have much higher job satisfaction than social workers or office drones or whatever...and I very much suspect that to be the case.
What happens is that you get taunted by econometricians who went to / work at...how shall I put this...a more quantitative schools than GMU.
BWHAHAHA!!!
OK, ribbing aside (you = Princeton, me = University of Colorado at Boulder), why would you do such a thing?