Table 3
Effect of Husband's Insurance on Wife's outcomes
|
Not Working |
Hours Worked |
Hours worked|hrs>0 | ||||
|
Min |
Full |
Min |
Full _ Controls |
Min |
Full | |
|
(1) |
(2) |
(3) |
_ (4) |
(5) |
(6) | |
|
_______________________I. . |
All Wives__________ | |||||
|
veteran*post |
-0.0180* |
-0.0136+ |
0.6336** |
0.4365+ |
0.2207 |
0.2403 |
|
(0.0071) |
(0.0081) |
(0.2146) |
(0.2071) |
(0.2308) |
(0.2230) | |
|
veteran |
0.0160** |
0.0243** |
-0.4422** |
-0.6665** |
0.0262 |
-0.1534 |
|
(0.0045) |
(0.0046) |
(0.1186) |
(0.1295) |
(0.1616) |
(0.1626) | |
|
Observations |
40,495 |
40,495 |
40,518 |
_______40,518 |
21,802 |
21,802 |
|
II. Wives with High School Education or Less Education | ||||||
|
veteran*post |
-0.0302** |
-0.0298** |
0.7967** |
0.6303* |
-0.0251 |
0.0708 |
|
(0.0092) |
(0.0113) |
(0.2413) |
(0.2663) |
(0.1825) |
(0.1949) | |
|
veteran |
0.0218** |
0.0330** |
-0.6943** |
-0.9350** |
-0.0921 |
-0.2837 |
|
(0.0072) |
(0.0088) |
(0.1620) |
(0.1841) |
(0.1403) |
(0.1735) | |
|
Observations |
23,768 |
23,768 |
23,827 |
_______23,827 |
11,311 |
11,311 |
|
III. Wives with Some College or More Education | ||||||
|
veteran*post |
-0.0035 |
0.0076 |
0.4789 |
0.1495 |
0.5698 |
0.4861 |
|
(0.0085) |
(0.0092) |
(0.5074) |
(0.4371) |
(0.5091) |
(0.5123) | |
|
veteran |
0.0046 |
0.0086+ |
-0.2125 |
-0.3957 |
-0.2841 |
-0.3889 |
|
(0.0057) |
(0.0050) |
(0.3385) |
(0.2740) |
(0.3856) |
(0.3982) | |
|
Observations |
13,837 |
13,837 |
13,881 |
________13,881 |
8,464 |
8,464 |
Notes: Coefficient estimates are taken from equation (1). Columns (1) and (2) report the marginal
effects from a probit regression. Columns (3)-(6) report OLS results. Regressionsincludeage, race,
state, year and education dummies and a constant. Full controls include pension and health insurance
receipt in the previous year and a state-specific time trend. Robust standard errors in parentheses are
clustered on veteran and year.
+ significant at 10%; * significant at 5%; ** significant at 1%
32