Which skills have the best monetary rewards? One way to
answer this question is by calculating the correlations between (a) the skill
ratings (on the “level” scale) for occupations in the O*NET database and (b)
the earnings for occupations as reported by the Bureau of Labor Statistics. For
my calculations, I used release 21.2 of the O*NET database and the BLS earnings
estimates for 2016. For some especially high-paid occupations, BLS gives no
specific dollar figure but says only that the occupations pay “more than $187,200
per year.” For these occupations, I used $200,000 as the earnings figure.
A note about correlation for those with a spotty background
in statistics: A correlation of 1 means a perfect relationship between the two
factors. That is, as one factor increases, the other increases by exactly the same
proportion. A correlation of 0 means that variation in one has a totally
random association with variation in the other. When the correlation goes into
negative territory, it means that as one factor goes up, the other goes down.
Now let’s look at the 35 O*NET skills and their correlation
to earnings. First, you’ll note that the scores range from 0.7 to -0.2,
so some skills tend to pay off much better than others.
Correlation
|
Skill
|
0.74
|
Complex Problem Solving
|
0.73
|
Judgment and Decision Making
|
0.69
|
Active Learning
|
0.69
|
Critical Thinking
|
0.68
|
Reading Comprehension
|
0.64
|
Systems Evaluation
|
0.64
|
Monitoring
|
0.63
|
Systems Analysis
|
0.63
|
Time Management
|
0.63
|
Active Listening
|
0.62
|
Writing
|
0.60
|
Operations Analysis
|
0.60
|
Speaking
|
0.59
|
Science
|
0.59
|
Instructing
|
0.56
|
Management of Personnel Resources
|
0.55
|
Learning Strategies
|
0.53
|
Persuasion
|
0.52
|
Coordination
|
0.51
|
Mathematics
|
0.50
|
Social Perceptiveness
|
0.48
|
Negotiation
|
0.43
|
Management of Financial Resources
|
0.40
|
Management of Material Resources
|
0.38
|
Programming
|
0.37
|
Service Orientation
|
0.34
|
Technology Design
|
0.02
|
Quality Control Analysis
|
-0.06
|
Operation Monitoring
|
-0.09
|
Installation
|
-0.11
|
Troubleshooting
|
-0.11
|
Equipment Selection
|
-0.19
|
Operation and Control
|
-0.20
|
Repairing
|
-0.22
|
Equipment Maintenance
|
The next thing you’ll probably observe is that the skills
with the best monetary payoff are those that might be described as cerebral—those involving complex mental
effort. These skills are associated with professional occupations. It usually
takes a lot of education to master these skills, and it is well understood that
a greater amount of education tends to lead to better-paying work, so this
skill-income relationship is not surprising.
Managerial work also tends to be better paid, but it’s
interesting to note that of the four skills with “Management” in their title,
only one—Time Management—is very high on this list. Management of Personnel
Resources falls in the middle of the list, and Management of Financial or
Material Resources pays rather poorly. I speculate that what this is showing is
that Time Management is an important skill in professional careers, because the
professional worker’s cerebral activity is the crucial money-making factor, so it’s
important for the worker to exercise care in parceling out his or her mental
energies over the course of the workday. Financial and material resources, on
the other hand, are often managed by clerical functionaries, who are
comparatively low-paid.
The skills at the bottom of the list are associated with
manual and mechanical work. The extent to which your work requires these at a
high level actually predicts a lowering
of your income. It may seem a paradox that a higher level of skill can result
in lower income, but for these skills, that is the case—but only insofar as the
earnings for the occupation compare to earnings in other occupations. Presumably, those within the occupation who have a higher level of these skills earn
more than less-skilled workers in the
same occupation (but my analysis is not designed to evince this).
The converse is also true: That is, In high-paying careers,
having a higher level of skill at (say) Complex Problem Solving or
Judgment and Decision Making does not necessarily mean
that you’ll earn more than people in the
same occupation with lower levels of these skills. Probably it will make that difference. But the real
reason that these two skills are at the top of the list is that the high earners are using
them at higher level than workers in
other occupations.
In my calculations, I included all
occupations for which O*NET gives skill ratings and for which earnings data are
available. When you look at the full range of occupations, it’s pretty easy to
see how earnings are linked to level of education. But what about the differences within a certain level of education?
Which skills have the best payoff within (say) bachelor’s-level occupations? Or
within occupations requiring no preparation beyond high school? In my next
blog, I’ll show the surprising results of this kind of analysis.
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