Table 2
Effect of Insurance Receipt on Labor Supply Outcomes for Veterans
|
_______Not Working______ |
_________Part Time_________ |
_____Self Employed_______ | ||||
|
(1) |
(2) |
(3) |
(4)_____________ |
(5) |
(6) | |
|
Panel I: Effects of Insurance Receipt | ||||||
|
veteran*post |
0.0058 |
0.0082* |
0.0160** |
0.0155** |
-0.002 |
-0.0015 |
|
(0.0051) |
(0.0035) |
(0.0051) |
(0.0050) |
(0.0043) |
(0.0046) | |
|
veteran |
0.0164** |
0.0311** |
-0.0018 |
0.0038 |
-0.0350** |
-0.0239** |
|
(0.0039) |
(0.0027) |
(0.0038) |
(0.0038) |
(0.0040) |
(0.0045) | |
|
Observations_________ |
41,440 |
41,440 |
26,605 |
26,605 |
41,440 |
41,440 |
|
Panel II: Falsification exercise: |
1992-1993 = pre, 1994-1995 = post | |||||
|
veteran*fakep ost |
-0.0145 |
-0.0067 |
0.0078 |
0.0048 |
0.0100 |
0.0078 |
|
(0.0079) |
(0.0042) |
(0.0080) |
(0.0070) |
(0.0070) |
(0.0085) | |
|
veteran |
0.0255** |
0.0359** |
-0.0053 |
0.0017 |
-0.0394** |
-0.0275** |
|
(0.0068) |
(0.0041) |
(0.0034) |
(0.0039) |
(0.0050) |
(0.0061) | |
|
Full controls? |
No |
Ye s |
N o |
Ye s |
N o |
Ye s |
|
State time trend? |
No |
Yes |
No |
Yes |
No |
Yes |
|
Observations_________ |
18,722 |
18,722 |
________11,591 |
11,591_________ |
18,722 |
18,722 |
Notes: Coefficient estimates are taken from a probit regression as described in eq. (1). Marginal effects are reported. Regressions include age, race,
state, year and education dummies and a constant. Full controls include pension and health insurance receipt in the previous year for columns (1) and
(2) and current year in columns (3)-(6). The universe in Panel I includes the years 1992-2002 with 1996 and 1997 omitted. The universe in Panel II
includes years 1992-1995, with fakepost indicating the years 1994-1995. Robust standard errors in parentheses are clustered on veteran and year.
* significant at 5%; ** significant at 1%