Table 6 Regression results for log quarterly earnings by fields of study and level of education

From: Is it worth it? Postsecondary education and labor market outcomes for the disadvantaged

	AA & below	BA & above
Highest credential
No HS	−0.12***
	(0.01)
Voc_Cert	−0.05	0.40***
	(0.12)	(0.09)
AA	0.19	0.31***
	(0.12)	(0.07)
BA		0.48***
		(0.07)
MA_PhD		0.73***
		(0.07)
Completed field of study
Manufacturing	0.26***	−1.87***
Construction	0.25***	0.29*
Health Tech	0.23***	0.16**
Other Health	0.48***	0.39***
Transportation	0.30**	0.81***
Business/Management	0.08*	0.29***
Education	−0.38***	0.03*
Engineering	0.06	0.47***
Communications	−0.21**	0.15***
Legal	−0.01	0.10***
Security	0.32***	0.07***
Bio, Math/Stats, Phys Sci	0.15**	0.20***
Social Science	−0.80***	0.07***
Other	−0.08*	0.13***
No CIP	0.02	0.31***
Work experience	0.02***	0.02***
	(0.00)	(0.00)
Work experience²	−0.00***	−0.00***
	(0.00)	(0.00)
Tenure	0.08***	0.05***
	(0.00)	(0.00)
Tenure²	−0.00***	−0.00***
	(0.00)	(0.00)
FCAT	0.06***	0.07***
	(0.01)	(0.01)
Female	−0.13***	−0.08***
	(0.01)	(0.01)
FRL	−0.05***	−0.02*
	(0.01)	(0.01)
Black	−0.08***	−0.07***
	(0.01)	(0.01)
Hispanic	0.15***	0.08***
	(0.01)	(0.01)
Asian	0.03	−0.01
	(0.02)	(0.02)
Other	−0.08**	−0.01
	(0.03)	(0.05)
Observations	635,272	264,516
R-squared	0.24	0.19

Notes: ***p < 0.01, **p < 0.05, *p < 0.1. The dependent variable is ln(quarterly earnings). Robust standard errors are in parentheses. FCAT scores are standardized to mean 1, standard deviation 0. Quadratic and cubic FCAT terms are estimated but not reported.

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