Table 6.
Discrete Event History Models Estimating the Associations between NLSY79 Mothers’ Odds of School Reentry/Additional Education and Time-Varying and Time-Invariant Characteristics (N= 4,925)
|
B (SE)
|
||||
|---|---|---|---|---|
| Model 11 (N=3,478)
|
Model 21 (N=1,088)
|
Model 31 (N=3,233)
|
Model 41 (N=3,478)
|
|
| Years since first birth | .98* (.01) | .99 (.02) | 1.05* (.01) | 1.04 (.03) |
| Education at Child Birth | ||||
| High school | 1.01 (.13) | --- | 2.24 (.45) | 1.31 (.53) |
| Some college | .98 (.20) | --- | --- | 2.59* (1.25) |
| Bachelor’s degree | --- | --- | --- | --- |
| Time-Invariant Factors | ||||
| Sociodemographic Factors | ||||
| Black | 1.54*** (.19) | .66* (.14) | 1.40* (.24) | 1.63 (.51) |
| Hispanic | 1.37+ (.24) | .85 (.27) | 1.34 (.36) | 1.74 (.84) |
| Foreign born | .78 (.17) | 1.15 (.36) | .64 (.22) | .71 (.42) |
| Foreign language | 1.14 (.19) | .88 (.32) | 1.38 (.34) | 1.33 (.53) |
| Foreign born parent | 1.17 (.18) | 1.05 (.33) | .79 (.20) | .93 (.43) |
| Lived with single mother | 1.19* (.11) | 1.10 (.16) | 1.20 (.17) | 1.45 (.35) |
| Family received welfare | .95 (.10) | .90 (.15) | .93 (.17) | .86 (.32) |
| Urban area (1979) | 1.07 (.12) | .71* (.12) | .78 (.13) | .79 (.23) |
| Proportion of school poor | 1.00 (.00) | .99 (.00) | .99 (.00) | 1.00 (.01) |
| Number of siblings | .99 (.02) | .99 (.03) | 1.02 (.03) | 1.02 (.05) |
| Parents’ education | ||||
| Father high school degree | 1.03 (.11) | 1.09 (.20) | 1.01 (.16) | 1.06 (.33) |
| Father some college | 1.03 (.17) | 1.20 (.48) | 1.12 (.28) | 1.12 (.47) |
| Father Bachelor’s degree | 1.52 (.26) | 1.10 (.53) | 1.21 (.29) | 1.28 (.54) |
| Mother high school degree | .95 (.10) | 1.10 (.19) | 1.10 (.17) | 1.41 (.42) |
| Mother some college | 1.08 (.20) | .92 (.39) | .90 (.24) | 1.12 (.47) |
| Mother Bachelor’s degree | 1.21 (.26) | 1.41 (.69) | 1.30 (.41) | 1.32 (.47) |
| Other Background Factors | ||||
| Mother AFQT Score | 1.01*** (.00) | 1.02*** (.00) | 1.02** (.00) | 1.02** (.01) |
| More reported self-esteem | 1.25 (.13) | .94 (.19) | 1.23 (.21) | 1.50 (.40) |
| Early alcohol use | .96 (.04) | .90 (.06) | .87* (.06) | .89 (.11) |
| Academic Expectations | ||||
| High school | .94 (.09) | 1.25 (.23) | 1.91 (1.29) | .27 (.24) |
| Some college | 1.73 (.39) | 1.42 (.42) | 4.36* (2.96) | 1.30 (1.17) |
| Bachelor’s degree | 1.89 (.42) | 1.70 (.47)* | 4.11* (2.83) | 1.69 (1.53) |
| Time-Varying Factors | ||||
| Occupational Sector | ||||
| Technical/sales/administrative support | .82 (.12) | .90 (.37) | .59** (.11) | .40** (.14) |
| Service occupations | .76+ (.12) | .90 (.36) | .42** (.11) | .26** (.10) |
| Other | .46*** (.09) | .79 (.32) | .22*** (.07) | .15** (.11) |
| Economic/Employment Factors | ||||
| Family income | .99 (.00) | .99 (.00) | .99 (.00) | 1.00 (.00) |
| Family wealth | .99 (.00) | .99 (.00) | .99 (.00) | 1.00 (.00) |
| Poverty | 1.22+ (.14) | 1.42* (.25) | 1.83*** (.35) | 1.33 (.46) |
| Weeks out of labor market | 1.00 (.00) | .99 (.00) | 1.01* (.00) | 1.00 (.00) |
| % time employed since age 18 | 1.20+ (.12) | 1.29* (.15) | 1.73** (.32) | 1.39 (.46) |
| Employed | .75** (.08) | .86 (.18) | 1.48* (.26) | 1.02 (.29) |
| Family and Maternal Factors | ||||
| Single (married) | 1.82*** (.22) | 1.04 (.20) | 1.55** (.25) | .93 (.30) |
| Never married | 1.42** (.19) | 1.10 (.22) | 1.25 (.27) | .88 (.31) |
| Number of children in home | .90* (.04) | 1.07 (.08) | .91 (.06) | .81 (.12) |
| Mother birth age | .96*** (.01) | .98 (.02) | .95** (.02) | .94* (.03) |
| Region | ||||
| Midwest (North east) | 1.09 (.15) | .63+ (.16) | 1.07 (.24) | .94 (.38) |
| South | 1.19 (.15) | .73 (.18) | 1.19 (.25) | 1.47 (.50) |
| West Coast | 1.16 (.17) | .73 (.21) | 1.15 (.27) | 1.01 (.43) |
| Post-childbearing woman years1 | 64,908 | 81,148 | 82,102 | 79,440 |
Notes:
1
Model 1 predicts reentry. Model 2 predicts a high school degree or GED. Model 3 predicts Some College or an Associate’s degree. Model 4 predicts a Bachelors Degree. Estimates based on weighted sample. Subpop feature is used to exclude cases in estimation, but all cases counted toward count of woman years. Number of child years varies somewhat across columns due to differences in missing on the dependent variable.
***
p<.001,
**
p<.01,
*
p<.05,
+
p<.10.