Table 1.
Descriptive Statistics on Labor Force Status and Parenthood
| White | Asian | Difference | Sig | |
|---|---|---|---|---|
| LF Status (person-period data) | ||||
| Full-Time | 80.8 | 86.0 | -5.2 | Chi2=46.4, *** |
| Part-Time | 14.6 | 10.5 | 4.1 | |
| Not in Labor Force | 5.7 | 4.9 | 0.8 | |
| Mean logged annual salary (person-period data) | 10.42 | 10.61 | -0.19 | *** |
| Mean change in logged salary from first to last obs | 0.260 | 0.353 | -0.09 | * |
| Work experience at last obs | ||||
| Full-time | 4.82 | 5.19 | -0.370 | *** |
| Part-time | 0.87 | 0.56 | 0.308 | *** |
| NILF | 0.30 | 0.25 | 0.044 | * |
| Parenthood Transitions | ||||
| % w/ children at first observation | 24.8 | 30.2 | -5.4 | * |
| % w/ new child during study | 45.3 | 43.3 | 2.0 | NS |
| % w/ first child during study | 41.8 | 39.7 | 2.1 | NS |
| % w/ 2nd+ child during study | 13.9 | 15.6 | -1.7 | NS |
| Avg family size at last observation (for those w/ kids) | 1.8 | 1.8 | 0.0 | NS |
| Observation before new child | ||||
| % Working Full-Time | 84.3 | 89.6 | -5.3 | Chi2=7.49, ** |
| % Working Part-Time | 13.8 | 6.7 | 7.1 | |
| % Not in Labor Force | 2.0 | 3.8 | -1.8 | |
| Avg hours worked/week | 41.0 | 43.6 | -2.6 | * |
| Observation after new child | ||||
| % Working Full-Time | 61.7 | 74.7 | -13.0 | Chi2=15.8, *** |
| % Working Part-Time | 24.7 | 15.8 | 8.9 | |
| % Not in Labor Force | 13.5 | 9.5 | 4.0 | |
| Avg hours worked/week | 36.9 | 41.2 | -4.4 | ** |
| LF Status Transitions after New Child | ||||
| Full-Time to Full-Time | 62.1 | 75.4 | -13.3 | Chi2=16.03, *** |
| Full-Time to Part-Time | 15.0 | 13.2 | 1.8 | |
| Working (FT or PT) to NILF | 9.6 | 3.6 | 6.0 | |
| Part-Time to Part-Time | 13.4 | 7.9 | 5.5 | |
| LF Transitions for prior FT workers | ||||
| Full-Time to Full-Time | 70.8 | 79.7 | -8.9 | Chi2=7.79, ** |
| Full-Time to Part-Time | 17.1 | 13.9 | 3.2 | |
| Full-Time to NILF | 12.1 | 6.4 | 5.7 |
NS=not significant,
*
p<.1,
**
p<.05,
***
p<.01
Note: Reported significance tests are t-tests for differences in means and chi-square tests for multiple-category comparisons (such as as full-time, part-time, and not in the labor force)