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. Author manuscript; available in PMC: 2018 Jul 14.
Published in final edited form as: J Health Soc Behav. 2015 Dec;56(4):514–533. doi: 10.1177/0022146515609903

Table 3.

Propensity Score Matching Results (ATT) Estimating the Effect of Age at First Birth on Age 40 Self-assessed Health among Women with a First Birth between Ages 15 and 19 (National Longitudinal Survey of Youth, 1979).

Variable Self-assessed Health at Age 40
Black Women
White Women
Hispanic Women
ATT ATT ATT
Panel A: First birth ages 15–19 compared to ages 25–35
First birth ages 15–19 −.35** −.14 −.05
(0 = first birth ages 25–35) (.11) (.09) (.18)
Treatment observations 431 347 254
Control observations 207 758 182
Total n 638 1,105 436
Mean % bias 4.0% 5.3% 4.7%
Gamma (Γ) 1.2

Panel B: First birth ages 20–24 compared to ages 25–35
First birth ages 20–24 −.25* −.18* −.08
(0 = first birth ages 25–35) (.11) (.08) (.15)
Treatment observations 323 512 242
Control observations 207 758 182
Total n 523 1,270 424
Mean % bias 5.2% 4.3% 5.3%
Gamma (Γ) 1.5 1.2

Panel C: First birth ages 20–24 compared to ages 15–19
First birth age 20–24 .10 −.00 .03
(0 = first birth ages 15–19) (.10) (.09) (.13)
Treatment observations 322 502 241
Control observations 491 363 261
Total n 813 865 502
Mean % bias 4.1% 4.1% 3.7%

Note: Standard errors in parentheses. ATT = average treatment effect for the treated. Mean % bias is the average bias in covariate balance after matching. Gamma (Γ) is the factor by which an unobserved covariate must cause the odds ratio of treatment assignment to differ between treatment and control cases in order for the estimated treatment effect to no longer be statistically significant.

*

p <.05

**

p <.01

***

p <.001 (two-tailed tests).