Fostering Flexibility in the Engineering Work Force (1990) / Chapter Skim
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Evidence of Adaptability in the Labor Market for Engineers: A Review of Recent Studies
Evidence of Adaptability in the Labor Market for Engineers: A Review of Recent Studies
Pages 73-82
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From page 73... ...
provides national labor force evidence on education/occupation correspondence. While this evidence is highly aggregated and is, given the relative small sample base for the SIPP sweys, subject to large sample variation, it is practically the only evidence available.
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From page 74... ...
Social science discipline yields are particularly low. Evidently, most individuals trained as scientists and engineers work in jobs outside science and engineering.
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From page 75... ...
Degree and Employment Fields Dauffenbach provides separate regression results for each of the major domains of S&E employment: engineering, biological sciences, math/computer science, physical sciences, and social sciences. He concentrates on detailed categories of field of study and occupation in his analysis and explores the correspondence between field of study and occupation on three levels.
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From page 76... ...
Occupational Field of Employment Field of Mad & PhysicalBiological Social Study Engineering Computer ScienceScience Science Exact Match 54.9 21.6 71.161.3 68.4 Engineering 25.1 11.0 4.80.8 1.0 Maw & Computer 3.0 23.0 1.90.3 1.2 Physical Science 5.0 5.2 8.24.2 0.4 Biological Science 1.2 3.4 7.426.1 1.3 Social Science 1.3 8.4 1.91.5 10.5 Education 1.5 5.6 1.52.4 3.2 Health 0.1 0.4 0.60.5 0.3 Business 4.6 1 3.0 0.90.5 4.9 AD Other 3.3 8.4 I.72.4 8.8 manner. Among all of the nearly 20,000 observations of employed engineers, about 55 percent had an exact match between their detailed employment field and the detailed field of Weir highest degree earned Another 25.1 percent of the employed engineers had an engineering degree, but their degree field did not match their employment field.
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From page 77... ...
However, having a non-exact match but still having an engineering degree pays almost as much, a 9.87 percent differential. Note also that having a degree in math/computer science and working as an engineer also pays a handsome differential of 9.93 percent.
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From page 78... ...
Still, the biological and social sciences are large employment fields and even a percent composition of engineers is not an insignificant number. Mobility Dauffenbach's results also provide ~nfonnation on the extent of mobility of venous types: change in employer, in occupation, and in responsibilities.
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From page 79... ...
Not surprisingly she found that engineering graduates reported the highest salaries and that those with nonengineering jobs 1-2 years after graduation earned somewhat less than those with engineering jobs. However, the engineering degree seems to be valued more highly for the principal nonengineering jobs entered by recent engineering graduates when compared with the earnings of other college majors in the same jobs.
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From page 80... ...
Summary The studies cited here indicate that persons with engineering degrees do frequently take jobs outside engineering-not only in He physical, mathematical, and computer sciences, but also as managers and in other capacities such as sales. Salary is a simple and imperfect summary measure of the adequacy with which they perform these jobs.
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From page 81... ...
The Dauffenbach study indicates clearly that persons without engineering degrees earn less than those with engineering degrees when the job is engineering. The one exception seems to be the math and computer science degreerecipients.
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