Table 5.

Effects of psychiatric disorders on labor market outcomes: Weighted regression results for Asian females

	Employed			Log of weeks worked among employed individuals			At least one absence in the past month among employed individuals
PANEL A: EFFECTS OF PSYCHIATRIC DISORDER IN PAST 12 MONTHS
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)
	Probit	Probit	Bivariate probit	OLS	OLS	TSLS	Probit	Probit	Bivariate probit
Any current psychiatric disorder	−0.110 (−0.470) [−0.042]	−0.096 (−0.420) [−0.036]	−0.021 (−0.180)	−0.103 (−1.27)	−0.108 (−1.40)	−0.090 (−0.830)	0.031 (0.190) [0.010]	0.071 (0.671) [0.023]	0.132 (0.270) [0.044]
Prior disorder covariate	No	Yes	No	No	Yes	No	No	Yes	No
PANEL B: EFFECTS OF K10 MENTAL DISTRESS SCORE
	Probit	Probit	TSLS	OLS	OLS	TSLS	Probit	Probit	TSLS
K10 Mental Distress Score	−0.007 (−0.530) [−0.003]	−0.006 (−0.500) [−0.002]	0.007 (0.680)	−0.008 (−1.31)	−0.008 (−1.35)	−0.008 (−0.600)	0.018 (1.34) [0.006]	0.019 (1.46) [0.006]	0.022 (1.48)
Prior disorder covariate	No	Yes	No	No	Yes	No	No	Yes	No
N	954			626			618

Notes:

1. Table only shows estimated coefficients on “any current psychiatric disorder.”

2. All models adjust for survey design characteristics.

3. T-statistics are in parentheses and marginal effects (for probit models) are in brackets.

4. Models include the following covariates: Age categories, sub-ethnicity categories, number of household members under age 18, US citizen, immigrant, poor English proficiency, education categories, state unemployment rate, chronic physical health condition categories, and marital status.

5. Prior disorder defined as any psychiatric diagnosis with recent symptoms prior to previous year.