Table 9.

OLS Regression of the Effect of Children and Race on Wages, Other

	Business			Postsecondary Education			Female-Dominated Professions
	Women	Men	W:M	Women	Men	W:M	Women	Men	W:M
Children	−0.01	0.10**	**	0.04	0.16**	**	−0.06**	0.05**	**
	(0.01)	(0.01)		(0.02)	(0.02)		(0.01)	(0.01)
Race (reference white)
Black	−0.10**	−0.14**		0.01	0.05		−0.02	−0.04
	(0.01)	(0.02)		(0.05)	(0.06)		(0.01)	(0.02)
Asian	0.00	0.01		−0.03	−0.07		0.18**	0.12**
	(0.01)	(0.01)		(0.04)	(0.03)		(0.02)	(0.03)
Latino	−0.09**	−0.11**		0.03	−0.01		−0.01	0.02
	(0.01)	(0.02)		(0.04)	(0.04)		(0.01)	(0.02)
Other	−0.07	−0.07		−0.06	−0.04		−0.07	−0.05
	(0.03)	(0.03)		(0.06)	(0.09)		(0.03)	(0.05)
Children x race
x black	−0.01	−0.09**	**	0.02	−0.16		0.06**	−0.04	**
	(0.02)	(0.02)		(0.07)	(0.09)		(0.02)	(0.03)
x Asian	−0.04	−0.05*		0.02	0.03		0.08**	0.08
	(0.02)	(0.02)		(0.05)	(0.04)		(0.02)	(0.04)
x Latino	−0.02	−0.01		−0.06	−0.06		0.02	0.00
	(0.02)	(0.02)		(0.06)	(0.06)		(0.02)	(0.03)
x other	0.02	−0.04		0.05	−0.04		0.06	−0.04
	(0.04)	(0.04)		(0.12)	(0.11)		(0.04)	(0.06)
Constant	0.40	1.22**		−1.02	−1.33		1.16**	0.86
	(0.20)	(0.18)		(0.71)	(0.64)		(0.18)	(0.35)
Adjusted R2	0.07	0.11		0.07	0.15		0.05	0.08
N	91,505	111,168		9,615	9,156		123,597	32,944

Source: Authors’ calculations

Note: Models control for age, age², graduate degree, race, marital status, logged work hours, and industry.

^*p < 0.01;

^**p < 0.001.