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. Author manuscript; available in PMC: 2016 Aug 1.
Published in final edited form as: Demography. 2015 Aug;52(4):1383–1407. doi: 10.1007/s13524-015-0407-0

Table 4.

Net 50-year lifetime earnings with and without the sample restrictions of disability and positive earningsa

(A)b
(B)c
(B)/(A)
Sample Restrictions:
− 2+ Years of Positive Earnings
- No Work Disability
Sample Restrictions:
- No Earnings Restriction
- Includes the Disabled, Except Those Disabled Before Age 20
Net 50-Year
Lifetime Earnings
Gap From HSG Net 50-Year
Lifetime Earnings
Gap From HSG
Maled LTHS 1,178,000 (−357,000) 795,000 (−564,000) .675
HSG 1,535,000 1,359,000 .885
SC 1,696,000 (161,000) 1,508,000 (149,000) .889
BA 2,190,000 (655,000) 1,965,000 (605,000) .897
GRAD 2,678,000 (1,143,000) 2,412,000 (1,053,000) .901
[BA+GRAD] 2,375,000 (840,000) 2,134,000 (775,000) .899
Femaled LTHS 586,000 (−285,000) 186,000 (−428,000) .317
HSG 871,000 614,000 .704
SC 1,036,000 (165,000) 858,000 (244,000) .828
BA 1,317,000 (445,000) 1,122,000 (508,000) .852
GRAD 1,693,000 (822,000) 1,605,000 (991,000) .948
[BA+GRAD] 1,458,000 (587,000) 1,303,000 (690,000) .894
a

All estimates control for race/ethnicity, marital history, number of children, birth place, high school type, college preparation courses, and math and science AP courses. The same mean values for all covariates are applied to all estimates.

b

These estimates are the same as those shown in Fig. 2.

c

Zero cumulative earnings is converted to $1 before taking log-transformation.

d

The total numbers of respondents to compute lifetime earnings (A) are 11,824 for men and 12,098 for women. The total numbers of respondents to compute (B) are 13,386 for men and 15,375 for women.