Table 2.

Summary of OLS Regression Analyses for Wives’ Weekly Housework Hours (N = 796)

	Cleaning				Cooking
	Model 1		Model 2		Model 1		Model 2
	B	SE B	B	SE B	B	SE B	B	SE B
Wife’s annual earnings ($10Ks)	−0.21**	0.08	−0.19*	0.08	−0.19**	0.06	−0.18**	0.07
Husband’s annual earnings ($10Ks)	0.07	0.05	0.09†	0.05	0.06	0.05	0.06	0.05
Wife has bachelor’s degreea	−2.21***	0.48	−2.12***	0.48	−0.35	0.44	−0.26	0.43
Husband has bachelor’s degreeb	0.09	0.54	0.17	0.54	−0.18	0.41	−0.20	0.41
Wife is African Americanc	1.09	1.60	1.26	1.62	0.20	1.18	0.16	1.17
Wife’s weekly labor market hours	0.03	0.02	−0.03	0.02	−0.02	0.02	−0.02	0.02
Husband’s weekly labor-market hours	0.01	0.02	0.01	0.02	−0.01	0.02	−0.00	0.02
Residents other than coupled	0.68	0.47	0.60	0.46	0.72†	0.38	0.59	0.37
Rooms in the home	−0.33**	0.12	−0.34**	0.12	−0.17	0.11	−0.16	0.10
Share of wife’s adult years employed	1.64	1.18	1.75	1.18	0.13	1.04	0.27	1.04
Number of children ever born to wife	0.44*	0.20	0.44*	0.20	0.17	0.15	0.19	0.15
Share of expenditures on substitutes	—	—	−0.01†	0.01	—	—	−0.02*	0.01
Constant	9.83***	1.36	9.64***	1.36	8.63***	1.38	8.94***	1.41
R2	0.15		0.16		0.06		0.07

Note: All models also include four indicator variables for whether the respondent is missing valid data on the labor-market hours of the husband, the labor-market hours of the wife, the number of rooms in the home, and the number of children ever born to the wife. Model 2 includes an indicator variable for whether the respondent is missing valid data on the share of expenditures on substitutes. All standard errors are clustered at the individual level.

^aWife has bachelor’s degree: 0 = no; 1 = yes.

^bHusband has bachelor’s degree: 0 = no; 1 = yes.

^cWife is African American: 0 = no; 1 = yes.

^dResidents other than couple: 0 = no; 1 = yes.

^†p < .10.

^*p < .05.

^**p < .01.

^***p < 0.001.