Table 5.

Marginal Effects of Multinomial Logit

	Regression Universe
	Not working last year	Full time last year	Part time last year
	(1)	(2)	(3)
Not Working	−0.00206**	0.01073**	−0.00158
	(0.0008)	(0.00169)	(0.00607)
Part Time for employer	0.00191**	0.00064	0.02435
	(0.00073)	(0.00107)	(0.02954)
Self Employed	0.00017+	0.00058	−0.02593
	(0.00009)	(0.00068)	(0.0292)
Full Time for employer	−0.00002	−0.01196**	0.00315
	(0.00026)	(0.00223)	(0.01839)
Observations	13,835	29,082	2,589

Note: Estimates are from multinomial logit regressions for three different population subsets: worked full time last year, worked part time last year, and did not work last year. Not working last year is limited to working 0 weeks. Results from limiting to 2 weeks of work or fewer are similar. Marginal effects for coefficient on veteran*post are reported for each outcome (not working, part time for an employer, self-employed, full time for an employer). Regressions estimate equation (2) by multinomial logit. Controls include age, race, marital status, whether the individual is included in a health insurance plan and pension plan in the previous year, and a full set of state, year, industry, occupation, and education dummies and a constant. Column (1) does not include occupation last year controls.

⁺significant at 10%

^*significant at 5%

^**significant at 1%