Spousal Labor Market Effects from Government Health Insurance: Evidence from a Veterans Affairs Expansion



Table 7

Robustness Checks

(1)
Not
Working

(2)

Hours Worked

(3)

Not
Working

(4)

Hours Worked

Panel I: Different Wife Ages

_________Ages 45-64_________

_________Ages 55-64_________

veteran*post

-0.0160*

0.7803**

-0.0337**

1.1243*

(0.0074)

(0.2506)

(0.0082)

(0.4260)

veteran

0.0164**

-0.5570**

0.0310**

-0.9898*

(0.0053)

(0.1329)

(0.0073)

(0.3626)

Observations

36,762

36,762

23,314

23,314

Panel II: Limiting Husbands

Husband Not Working Full-
___________
Time___________

Husband Not Working

veteran*post

-0.0353**

1.3721**

-0.0430**

1.7639**

(0.0057)

(0.2106)

(0.0095)

(0.2712)

veteran

0.0159**

-0.3735**

0.0055

-0.5967**

(0.0048)

(0.1142)

(0.0080)

(0.1939)

Observations

23,732

23,774

12,751

12,827

Panel III: Additional Checks

Full veteran interaction

_________No 2002_________

veteran*post

-0.0200**

0.6017*

-0.0263**

0.9216**

(0.0070)

(0.2296)

(0.0059)

(0.1562)

veteran

---

---

0.0155**

-0.4478**

(0.0046)

(0.1287)

Observations

40,477

40,518

34,537

34,587

Note: Coefficient estimates are taken from equation(l). Columns (l)and(3) report
the marginal effects from a probit regression. Theremaining columns report results
from an OLS regression. Full veteran interactions do not show a veteran main
effect because
all controls are interacted with veteran. Regressions include race,
and a full set of state, year. age. and education dummies and a constant. Robust
standard errors in parentheses are clustered on veteran and year.

* significant at 5%; ** significant at 1%

36



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