Table 3. Logistic regression estimates for variables, by sex.
| Variable | Female | Male |
|---|---|---|
| Number of observations | 1,421 | 393 |
| Dependent variable: I = 1 if, living independently | ||
| Constant | −8.352 (6.533) |
−12.728 (13.250) |
| FORBN: foreign-born | −.0614 (.182) |
* − .526 (.320) |
| NONW: other than white |
***−.787 (.195) |
−.223 (.324) |
| Y: income |
***.000351 (.000100) |
.000278 (.000170) |
| YSQ: income squared (0000) |
*−.000167 (.00010) |
−.000219 (.000150) |
| CHILD: 1 or more living children |
***−1.194 (.209) |
** − .807 (.356) |
| MORE: number of children more than 1 | − .0385 (.0306) |
− .0470 (.0618) |
| WIDOW: widowed |
***1.801 (.267) |
**.908 (.409) |
| DIVOR: divorced |
***2.321 (.381) |
.203 (.451) |
| SEPAR: separated |
***1.308 (436) |
*.989 (.532) |
| AGE | .234 (.171) |
(.330) (.344) |
| AGESQ: age squared | −.00150 (.00112) |
− .00201 (.901) |
| DISAB1: self-care factor |
*** − .583 −(.167) |
−.175 − (.321) |
| DISAB2: mobility factor |
*** − .555 (.141) |
*** − .905 (.333) |
| YDIS1: Y × DISAB1 | .000097 (.000080) |
−.000101 (.000150) |
| YDIS2: × DISAB2 |
*.000096 (.000060) |
.000055 (.000120) |
| RESPC73: State nursing home residents per 1,000 elderly, 1973 |
***.00957 (.00370) |
−.0109 (.0072) |
| YPC73: State per capita income, 1973 |
***−.000398 (.000110) |
−.000022 (.000210) |
| -2 log likelihood ratio | 245.83 | 71.71 |
| (X2) | ||
| ρ2 | .128 | .136 |
NOTES: Standard errors are in parentheses. Significance levels:
*
= 10 percent,
**
= 5 percent, and
***
= 1 percent.