Table A4

Race and Gender Gaps in Wages

	Dependent Variable: Log Real Wage
	(1)	(2)	(3)	(4)
Male	0.154***	0.154***	0.139***	0.118***
	(0.009)	(0.009)	(0.010)	(0.010)
Black	−0.051***	−0.009	−0.014	−0.000
	(0.011)	(0.012)	(0.012)	(0.011)
Hispanic	0.025**	0.052***	0.047***	0.039***
	(0.012)	(0.012)	(0.013)	(0.012)
Education	0.084***	0.072***	0.070***	0.051***
	(0.002)	(0.003)	(0.003)	(0.003)
AFQT		.056***
		(0.007)
Math score			0.066***	0.048***
			(0.008)	(0.008)
Verbal score			−0.023**	−0.006
			(0.010)	(0.010)
Mechanical score			0.017**	0.008
			(0.009)	(0.008)
Science score			−0.010	−0.020**
			(0.010)	(0.010)
Interpersonal score			0.063***	0.054***
			(0.008)	(0.008)
Math tasks				0.022***
				(0.006)
Verbal tasks				0.160***
				(0.010)
Mechanical tasks				0.050***
				(0.008)
Science tasks				0.068***
				(0.008)
Interpersonal tasks				−0.066***
				(0.009)
Constant	0.896***	1.021***	1.059***	1.420***
	(0.033)	(0.036)	(0.037)	(0.039)
Observations	22,811	22,811	22,811	22,811
R²	0.189	0.193	0.198	0.250

Notes: *** p < 0.01, ** p < 0.05, * p < 0.1. Robust standard errors in parentheses. The dependent variable is the log real wage. The sample is restricted toworkers with zero to two years of experience who took the ASVAB tests before entering the labor market. Math, verbal, mechanical, and science skill are measured by ASVAB test scores. Interpersonal score is the average of the Rosenberg Self-Esteem score and the Rotter Locus of Control score, and is only available in the NLSY79; it is set to zero (the mean for the NLSY79) for all NLSY97 observations. All skill measures are in standard deviations. The standard errors are clustered at the worker level.