Professional Worker Career Experience Survey

Joshua L. Rosenbloom and Ronald Ash
Principal Investigators

This material is based upon work supported by the National Science Foundation
under Grant No ITWF-0204464

Any opinions, findings and conclusions or recommendations expressed in this material
are those of the author(s) and do not necessarily reflect the views of the
National Science Foundation (NSF).

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ITWF Progress Report 4:
Results from the CPS – IT and Control Group Comparisons

Prepared by Brandon Dupont

This revision: 25 February 2003

Defining a Control Group

The objective in defining an appropriate control group is to identify a set of occupations from the CPS data with similar education and age levels. Ideally, we would like to establish a group that had the ability (in terms of intelligence or education, for instance) to go into an IT career but chose not to do so.

I have taken four groupings of occupations from the CPS as a first estimation toward a possible focus group. The four groupings can be categorized as follows:

  1. Scientific Occupations
  2. Managerial Occupations
  3. Other Technical Occupations
  4. Miscellaneous Occupations

The total size of this control group is currently estimated at 20.9 million. I describe the specific occupations within each grouping on page 5.


Graph of Control Group Size

The objective in forming a control group is to find a set of CPS occupations that is closely related to the characteristics of the identified IT workforce. I have examined this along a number of dimensions beginning on page 6.


Table of Scientific Occupations

Table of Miscellaneous Occupations

Table of Other Techincal Occupations


Comparisons: IT and Control Groups

I summarize here some of the major characteristics of interest for both the total control group and the IT occupations from the March 2002 CPS.

Age Comparison
Graph of the Cumulative Distribution of Age

Table containing Age Comparison

Education Comparison
Graph of the Cumulative Distribution of Education

Table containing Education Comparison

Employment Growth Comparison
Graph of Employment Growth Comparison

Table containing Employment Growth Comparison

Demographic Comparison
Table containing Demographic Comparison

Graph showing percent Male Workers Graph showing percent White Workers

Hours Worked Comparison

The following presents raw data for hours worked per week by IT workers and, on page 9, for the control group

IT Workforce

      Cumulative Cumulative
HRSWK Frequency Percent Frequency Percent
0 27 1.25 27 1.25
6 3 0.14 30 1.39
8 1 0.05 31 1.44
9 1 0.05 32 1.48
10 11 0.51 43 2
12 2 0.09 45 2.09
14 1 0.05 46 2.13
15 10 0.46 56 2.6
16 2 0.09 58 2.69
18 4 0.19 62 2.88
19 1 0.05 63 2.92
20 40 1.86 103 4.78
22 2 0.09 105 4.87
24 6 0.28 111 5.15
25 17 0.79 128 5.94
30 29 1.35 157 7.29
32 4 0.19 161 7.47
34 1 0.05 162 7.52
35 35 1.62 197 9.14
36 4 0.19 201 9.33
37 6 0.28 207 9.61
38 30 1.39 237 11
39 2 0.09 239 11.09
40 1304 60.51 1543 71.6
41 2 0.09 1545 71.69
42 26 1.21 1571 72.9
43 16 0.74 1587 73.64
44 8 0.37 1595 74.01
45 194 9 1789 83.02
46 7 0.32 1796 83.34
47 3 0.14 1799 83.48
48 14 0.65 1813 84.13
50 173 8.03 1986 92.16
52 22 1.02 2008 93.18
53 3 0.14 2011 93.32
54 1 0.05 2012 93.36
55 50 2.32 2062 95.68
56 3 0.14 2065 95.82
60 66 3.06 2131 98.89
65 10 0.46 2141 99.35
66 1 0.05 2142 99.4
70 9 0.42 2151 99.81
75 1 0.05 2152 99.86
80 3 0.14 2155 100

Control Group

      Cumulative Cumulative
HRSWK Frequency Percent Frequency Percent
0 211 1.28 211 1.28
1 5 0.03 216 1.31
2 9 0.05 225 1.37
3 4 0.02 229 1.39
4 4 0.02 233 1.42
5 23 0.14 256 1.56
6 9 0.05 265 1.61
7 10 0.06 275 1.67
8 24 0.15 299 1.82
9 3 0.02 302 1.84
10 69 0.42 371 2.26
11 3 0.02 374 2.28
12 15 0.09 389 2.37
13 3 0.02 392 2.39
14 1 0.01 393 2.39
15 67 0.41 460 2.8
16 34 0.21 494 3.01
17 3 0.02 497 3.03
18 16 0.1 513 3.12
19 5 0.03 518 3.15
20 292 1.78 810 4.93
21 2 0.01 812 4.94
22 4 0.02 816 4.97
23 7 0.04 823 5.01
24 46 0.28 869 5.29
25 102 0.62 971 5.91
26 3 0.02 974 5.93
27 5 0.03 979 5.96
28 16 0.1 995 6.06
29 1 0.01 996 6.06
30 282 1.72 1278 7.78
31 1 0.01 1279 7.79
32 93 0.57 1372 8.35
33 5 0.03 1377 8.38
34 8 0.05 1385 8.43
35 338 2.06 1723 10.49
36 45 0.27 1768 10.76
37 51 0.31 1819 11.07
38 159 0.97 1978 12.04
39 11 0.07 1989 12.11
40 7934 48.3 9923 60.41
41 4 0.02 9927 60.43
42 115 0.7 10042 61.13
43 76 0.46 10118 61.59
44 70 0.43 10188 62.02
45 1459 8.88 11647 70.9
46 28 0.17 11675 71.07
47 33 0.2 11708 71.27
48 163 0.99 11871 72.27
49 8 0.05 11879 72.31
50 2366 14.4 14245 86.72
51 2 0.01 14247 86.73
52 163 0.99 14410 87.72
53 11 0.07 14421 87.79
54 8 0.05 14429 87.84
55 552 3.36 14981 91.2
56 27 0.16 15008 91.36
57 9 0.05 15017 91.42
58 14 0.09 15031 91.5
59 1 0.01 15032 91.51
60 975 5.94 16007 97.44
62 4 0.02 16011 97.47
63 1 0.01 16012 97.47
64 3 0.02 16015 97.49
65 103 0.63 16118 98.12
66 4 0.02 16122 98.14
68 5 0.03 16127 98.17
70 141 0.86 16268 99.03
72 12 0.07 16280 99.11
74 1 0.01 16281 99.11
75 17 0.1 16298 99.21
76 1 0.01 16299 99.22
78 2 0.01 16301 99.23
80 70 0.43 16371 99.66
84 12 0.07 16383 99.73
85 5 0.03 16388 99.76
90 16 0.1 16404 99.86
91 1 0.01 16405 99.87
98 2 0.01 16407 99.88
99 20 0.12 16427 100

About the author

Brandon Dupont is a Graduate Student, University of Kansas Department of Economics.



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