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. Author manuscript; available in PMC: 2015 Aug 1.
Published in final edited form as: Demography. 2014 Aug;51(4):1319–1344. doi: 10.1007/s13524-014-0313-x

Table 3.

Time-varying characteristics, person-years from ages 24 to 29 (weighted)

Women Men SE

Person-Year Data Multiply Imputed Person-Year Data Person-Year Data Multiply Imputed Person-Year Data

Mean SD Mean SE Mean SD Mean
Annual Earnings (logged dollars)a 8.18 3.73 8.05 0.02 8.38 3.74 8.23 0.02
Occupational Education (proportion)b 0.31 0.28 0.29 0.00 0.23 0.26 0.22 0.00
Occupational Sex Composition (proportion of men)b 0.34 0.21 0.33 0.00 0.65 0.26 0.65 0.00
Occupational Autonomy (1–5)c 3.98 0.42 3.96 0.00 3.92 0.45 3.90 0.00
Occupational Status (1–7)d 3.26 1.11 3.14 0.01 3.10 1.18 3.01 0.01
Among Employed Person-Years (%)
 Availability of paid vacation 57.42 61.02 56.05 58.90
  Missing 4.86 –– 3.92 ––
 Availability of paid sick leave 40.64 46.09 35.30 39.54
  Missing 8.54 –– 7.46 ––
 Availability of medical insurance 61.22 62.73 58.73 60.68
  Missing 8.27 –– 10.81 ––
 Availability of schedule flexibility 37.09 38.78 31.16 32.93
  Missing 8.27 –– 10.81 --
 Availability of paid/unpaid maternal/paternal leave 45.33 40.46 28.02 24.29
  Missing 12.28 –– 6.62 ––
Employment Status (%)
 Not employed 20.77 21.61 21.33 21.99
 Full-time 54.07 54.07 59.93 59.93
 Part-time 24.32 24.32 18.08 18.08
 Missing 0.84 –– 0.67 ––
School Enrollment (%)
 Enrollment 18.42 18.43 13.74 13.75
 Missing 0.08 –– 0.04 ––
Educational Attainment (%)
 Less than high school 8.68 9.22 9.99 10.92
 High school diploma/GED 46.83 50.35 56.46 61.04
 Some college 6.03 6.51 5.02 5.40
 College degree or more 31.76 33.93 21.37 22.64
 Missing 6.70 –– 7.16 ––
 Unweighted Person-Years 9,982 11,547
a

19.08 % of data on annual earnings are missing for men, and 20.99 % are missing for women.

b

For men, 0.75 % of data are missing invalidly on these two variables (i.e., not due to unemployed); for women, 0.51 %.

c

For men, 3.13 % of data are missing invalidly on occupational autonomy (i.e., not due to unemployed); for women, 2.59 %.

d

For men, 2.69 % of data are missing invalidly on occupational status (i.e., not due to unemployed); for women, 2.20 %.