Table 4
Effect of Husband's Insurance on Wife's Outcomes
|
_________Earnings_______ |
________ln(Earnings)________ | |||
|
Min Controls |
Full Controls |
Min __ Controls |
Full Controls | |
|
(1) |
(2) |
_____________(3) |
(4) | |
|
________________I. |
All Wives________ | |||
|
veteran*post |
0.0325 |
-1.4348 |
0.0634* |
0.0783** |
|
(1.2325) |
(1.7571) |
(0.0287) |
(0.0256) | |
|
veteran |
4.5865** |
3.1662* |
0.0344 |
-0.0076 |
|
(1.2617) |
(1.4128) |
(0.0249) |
(0.0213) | |
|
Observations |
9,768 |
9,768 |
_________4,738 |
4,738 |
|
II. Wives with High School Education or Less Education | ||||
|
veteran*post |
-2.1316 |
-3.4454 |
0.0805* |
0.0878** |
|
(3.2904) |
(3.7608) |
(0.0400) |
(0.0329) | |
|
veteran |
1.9817 |
1.6011 |
0.0427 |
0.0032 |
|
(1.3003) |
(1.6235) |
(0.0361) |
(0.0283) | |
|
Observations |
5,775 |
5,775 |
_________2,428 |
2,428 |
|
III. Wives with Some College or More Education | ||||
|
veteran*post |
4.9758 |
4.6600 |
0.1072+ |
0.1604** |
|
(3.7273) |
(4.1977) |
(0.0571) |
(0.0474) | |
|
veteran |
1.1148 |
-0.9412 |
-0.0338 |
-0.0917** |
|
(2.3850) |
(2.3538) |
(0.0313) |
(0.0293) | |
|
Observations |
3,285 |
3,285 |
_________1,847 |
1,847 |
Notes: Coefficient estimates report tobit estimates of equation (1),
correcting for earnings topcodes. Eamings are in 1982-1984 dollars
using the BLS CPI inflator. Regressions include age, race, state, year
and education dummies and a constant. Fullcontrolsincludepension
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%