Sociation Today ® 
The Official 
Journal of 
The North 
Carolina 
Sociological 
Association: A 
Peer-Reviewed
Refereed Web-Based 
Publication 
ISSN 1542-6300
Editorial Board:
Editor:
George H. Conklin,
 North Carolina
 Central University

Board:
Bob Davis,
 North Carolina
 Agricultural and
 Technical State
 University

Richard Dixon,
 UNC-Wilmington

Ken Land,
 Duke University

Miles Simpson,
 North Carolina
 Central University

Ron Wimberley,
 N.C. State University

Robert Wortham,
 North Carolina
 Central University



Editorial Assistants

John W.M. Russell,
 Technical
 Consultant

Austin W. Ashe
 North Carolina
 Central University

Submission
Guidelines
for Authors


Cumulative
Searchable Index
of
Sociation Today
from the
Directory of 
Open Access
Journals (DOAJ)


Sociation Today
is abstracted in
Sociological Abstracts
and a member
of the EBSCO
Publishing Group


The North
Carolina
Sociological
Association
would like
to thank
North Carolina
Central University
for its
sponsorship of
Sociation
Today


*® 

Volume 7, Number 1

Spring 2009

The Impact of Occupational Status on Household Chore Hours among Dual Earner Couples

by

Megumi Omori
Bloomsburg University of Pennsylvania

and

Danielle Taana Smith
Rochester Institute of Technology

    Throughout most of the 20th century, cleaning the house was viewed as "women's work," in a division of labor that saw the traditional role of the male as a provider or worker outside of the home. The very notion was idyllic, a product of the mythology of the affluent and middle classes, because many of the wives and daughters of working class and poor families always needed to earn money outside of the home. Often, particularly in African American, Latino and immigrant households, that meant women had few options but to serve double-duty. They took care of the homes and children of their employers, and then after work took care of their own. 

    In the 21st century, the American economy, similar to other western industrialized economies, is an increasingly knowledge-based economy, with professional, managerial and technical expertise in high demand. At the same time, services industries are expanding, although jobs such as food preparation and domestic services remain relatively low paying.  These jobs cater to professionals who are more able to afford these services than the workers who actually perform the work. Socio-economic differences are dramatic between professional and non-professional workers. In 2005, the proportion of hourly-paid workers whose earnings were reported at or below minimum wage ($5.15) ranged from less than 1% for employees in management, professional, and related occupations, to approximately 8% for workers in service occupations. Further, service occupations, primarily in food service jobs, accounted for about three in four workers earning $5.15 or less (U.S. Bureau of Labor Statistics, 2006).  Gender remains closely associated with wage-based socio-economic inequality, as minimum wage occupations tend to have more females than males (U.S. Bureau of Labor Statistics, 2006). While gender inequalities have declined significantly across job categories (Blau and Kahn, 2000; Reskin, 1993), service jobs remain female dominated, and these are the occupations in which wages are being eroded and economic mobility is less likely.

    As the workforce has been transformed due to women's labor force participation and earnings increases, the divisions of labor within households have also undergone significant transformations.  As women work more, particularly in professional/managerial occupations, and achieve increasing occupational status and income, their hours spent on housework have declined. Changes in the household division of labor are primarily due to declines in the amount of time that women spend on housework (Van der Lippe et al., 2004). Yet few studies have examined housework hours for married couples based on occupational differences.  Women's representation in well-paid professions is increasing at the same time that many low-paying service industries are dominated by female labor. 

    Research has consistently shown that as women work outside of the home, their time spent on housework has declined.  In this study, we extend this finding by examining how the amount of time that married couples spend doing housework is impacted by their occupational status.

Previous Research

    Many previous studies have examined men's and women's time spent on household chores. These studies show that the total number of hours spent on household labor has steadily declined (Artis and Pavalko, 2003), particularly due to the dramatic increase in women employed in the paid labor force (Bianchi et al.,2000; Kamo and Cohen, 1998; Presser, 1994; Shelton, 1990). The classic role specialization theory by Becker et al. (1977) assumes that a marriage is more stable when a husband and wife are each specialized in their tasks, mostly a husband in labor market skills and a wife in domestic skills.  We apply role specialization theory to examine how time spent doing housework by married couples may vary by occupational status. Following the theory, for women who are in professional occupations, it makes economic sense in concentrating their time in the workforce rather than on doing housework. 
Paid labor force work means less time to complete housework. While the total time spent on housework has decreased, studies examining the division of household labor (Brines, 1994; Orbuch and Eyster, 1997; Ross, 1987) repeatedly find that women do more household work than men.  Even in dual income families, wives have greater family responsibilities (Presser, 1994). However, the amount of time that men spend doing housework has also increased. Bianchi et al. (2000) find that men's housework time has increased such that men were responsible for a third of housework in the 1990s. Income has been related to a wife's relative power within the home and to her independence. For instance, when women earn a larger portion of household income, their husbands tend to do more of the housework (Bianchi et al. 2000), and a wife's earnings are given greater weight than her husband's in buying domestic services (Cohen, 1998).  In analyzing the effect of the women's movement on paid employment on the gender segregation of work, Cohen (2004) concludes that the movement of women away from keeping house contributed as much to the overall decline in gender segregation as did the desegregation of paid occupations. 

Data and Methods

    The data used for our study is the 2nd wave of the National Survey of Families and Households (NSFH).  The first wave of the NSFH was collected between 1987 and 1988 with the original sample of 13,007 individuals.  The second wave of the NSFH is the five year follow-up of the original sample collected between 1992 and 1994, with a sample size of 10,007 individuals.  The NSFH includes respondents' demographic characteristics, life-history, employment information, and household chores information (Sweet, Bumpass, and Call, 1988).  The NSFH is the most appropriate data set since it contains our key variables of household chore hours by husband and wife and their occupational status.  The NSFH data includes more detailed information of household chores and is more recent than much data used by researchers in the field (Hersch and Stratton, 2002). Our analyses include only those respondents who were married and both employed at the time of the Wave 2 survey.  The final sample size is 2,522 couples. 

    The dependent variable is hours spent weekly on household chores.  The NSFH asked nine questions related to household task hours spent on:  doing dishes, meal preparations, shopping for food, laundry and ironing, paying bills, cleaning house, driving, auto maintenance, and outdoor maintenance.  These nine items are combined to measure household chore hours.  We use self-claimed chore hours for each spouse's chore hours and we combine husband's and wife's self-claimed hours for our couple level analyses. 
Our key independent variable is occupational socioeconomic index (SEI), created by Hauser and Warren (1997).  Occupational SEI measures the social standing of a worker based on his/her occupation and gives a numeric value to each occupation, where a higher value indicates a higher social status (Hauser and Warren, 1997).   In the NSFH data, the highest occupational SEI is 80.53 for physicians and the lowest is 7.13 for shoe machine operators.   Our control variables are weekly work hours in the labor force, income (in $1,000), education, age, race, and the number of children at home.  Race is grouped into two:  white and non-white, and the non-white group includes African American, Hispanic, and other racial and ethnic groups. 

Results

    The descriptive statistics of our sample are presented in Table 1. 

Table 1
Descriptive Statistics of Dual Earner Couples
NSFH Wave 2

 
Wife
Wife
Std.
Husband
Husband
Std.
Mean Household Chore Hours
33.02
20.27
19.82
14.43***
Mean Occupational SEI
38.99
14.56
39.68
14.03***
Mean Weekly Work Hours
36.44
12.23
46.45
12.06***
Mean Income in 1,000
22.02
16.97
38.52
29.87***
White
89.21%
 
88.74%
 
Non-White
10.71%
 
11.26%
 
Mean Age
38.57
7.84
40.59
8.24
Less Than
High School Education 
or not Reported
6.86%
 
8.13%
 
High School
66.98
 
63.79
 
College or Higher
30.20
 
32.75
 
Mean # of Children
 0-5 per couple
0.39
0.67
 
 
Mean # of Children
6-12 per couple
0.55
0.79
 
 
Mean # of Children
13-18 per couple
0.42
0.71
 
 
Mean Income in 1,000
60.54
37.19 
 
 
White Couples
79.28%
 
 
 
N
2522
 
   
T-test results, *p<.05, **p<.01, ***p<.001

    For employed wives, the mean household chore hours are about 33 hours per week, and the mean work hours is 36 hours with a mean annual income of $22,000.   The mean occupational SEI for wives is 38.99.  An occupation close to the mean SEI is insurance adjuster.  For employed husbands, the mean household chore hours are nearly 20 hours, and the mean work hours is 46.5 hours per week with a mean annual income of 38,500 dollars.  The mean occupational SEI for husbands is 39.68 which is equivalent to aircraft mechanics and manufacturing managers.  Our results reveal that among employed couples, wives spend significantly longer hours on household chores and significantly shorter hours in the labor force, as compared to husbands.  Also, wives earn significantly less than husbands.  The occupational SEI is significantly higher for husbands than for wives. 

    We used OLS regression analyses to estimate weekly household chore hours (Tables 2 and 3). 

Table 2
Results of OLS Regression Analyses Estimates of Weekly Hours Worked on Household Chores for Wives

 
Wives
Estimate
Wives
S.E.
Wives
Estimate
Wives
S.E.
Intercept
44.31
1.13***
38.73
3.35***
Occupational SEI
-0.29
0.03***
-0.13
0.03***
Weekly Work Hours
 
 
-0.13
0.03***
Income (in 1,000)
 
 
-0.14
0.03***
Race (White =1)
 
 
-1.46
1.22
Age
 
 
0.12
0.05*
# Children 0-5
 
 
4.74
0.62***
# Children 6-12
 
 
4.88
0.49***
# Children 13-18
 
 
3.42
0.54***
High School^
 
 
-1.46
1.22
College or Higher^
 
 
-4.70
1.76***
F value
114.02***
 
43.38***
 
Adjusted Rsquare
0.04
 
0.14
 
N
2522
 
2522 
 
^Reference: No High School and Missing
*p<.05, **p<.01, ***P<.001

Table 3
Results of OLS Regression Analyses Estimates of Weekly Hours Worked on Household Chores for Husbands

 
Husbands
Estimate
Husbands
S.E.
Husbands
Estimate
Husbands
S.E.
Intercept
22.92
0.09***
29.10
2.51***
Occupational SEI
-0.08
0.02***
-0.03
0.02
Weekly Work Hours
 
 
-0.01
0.02
Income (in 1,000)
 
 
0.02
0.01
Race (White =1)
 
 
-4.55
0.91***
Age
 
 
-0.11
0.00**
# Children 0-5
 
 
1.12
0.47*
# Children 6-12
 
 
0.84
0.37*
# Children 13-18
 
 
0.39
0.41
High School^
 
 
0.28
1.08
College or Higher^
 
 
-1.08
1.26
F value
14.63***
 
8.23***
 
Adjusted Rsquare
0.01
 
0.03
 
N
2522
 
2522 
 
^Reference: No High School and Missing
*p<.05, **p<.01, ***P<.001

   The first model shows the effect of occupational SEI on wives' household chore hours without controlling for other variables.  As expected, there is a negative relationship between household chore hours and occupational SEI, indicating that the higher an occupational status is, the shorter the number of hours spent on household chores is among wives.  Thus, when we compare physicians (SEI = 80.53) and registered nurses (SEI = 61.07), the household chore hour difference is 5.64 hours per week.  The expected difference between physicians and bank tellers (SEI = 24.79) is nearly 16 hours per week. The negative impact of occupational SEI is still detected when the control variables are added to the model.   We also estimated husbands' weekly household chore hours.  Our results show that without controlling for other variables, husbands' household chore hours also negatively relate to their occupational SEI.  However, the effect of occupational SEI disappeared when other variables were added to the model.  The results from the analysis with all control variables show that there are no differences in household chore hours by occupational SEI among husbands.   Our findings support our hypothesis that status differences are relevant for the amount of time that married women spend doing housework. 

    We further tested gender differences on household chore hours by combining two groups and by adding a gender variable.  We find that other things being equal, wives spend nearly 11 hours more on household chores than husbands do (result not shown).  Finally, the race variable is also significant for husbands. In the analysis, we found that white husbands do less housework than their non-white counterparts.

    Lastly, we analyzed their household chore hours as a couple.  The results of couple level analyses are presented in Table 4. 

Table 4
Results of OLS Regression Analyses
Estimates of Weekly Hours Worked on Household Chores

 
Couple
B
Couple 
SE
Couple
B
Couple
SE
Intercept
71.57
1.75***
65.28
4.63***
Husband's Occupa-
tional SEI
-0.21
0.04***
-0.10
0.04*
Wife's Occupa-
tional SEI
-0.27
0.04***
-0.15
0.04***
Husband's Weekly
Work Hours
 
 
0.04
0.04
Wife's Weekly
Work Hours
 
 
-0.10
0.04*
Couple's Income
(in 1000)
 
 
-0.05
0.01**
Race (White =1)
 
 
-3.97
1.23**
Wife's Age
 
 
0.04
0.07
# Children Age 0-5
 
 
6.06
0.79***
# Children Age 6-12
 
 
5.79
0.62***
# Children Age 13-18
 
 
3.74
0.69***
Husband--High School^
 
 
-2.69
1.88
Husband--College or up^
 
 
-4.59
2.26*
Wife--High School^
 
 
0.62
2.02
Wife--College or up^
 
 
-1.63
2.39
F Value
63.38***
 
27.96***
 
Adjusted Rsquare
0.05
 
0.13 
 
N
2522
 
2522 
 
^Reference Category: No High School and Missing
*p<.05, **p<.01, ***p<.001

    Our base model estimates the effect of couples' occupational SEI on household chore hours.  The results show significantly fewer hours on household chores for a higher occupational SEI for both husbands and wives.  When both husband and wife are in a high occupational SEI, their total household chore hours are significantly fewer hours than couples in a lower occupational SEI.  In order to determine the effect of occupational SEI after controlling for other variables, we added other variables to the model. 

    The last two columns of Table 4 show the results.  Even when the control variables were added, the effect of occupational SEI remains significant for both husbands and wives.  If a couple is both physicians, their expected household chore hours are approximately 14 hours fewer than a couple who are both bank tellers.   A couple's race also has a significant effect; we found that white couples do less housework than their non-white counterparts.

Discussion 

    Our research examined household chore hours of dual-earner couples with emphasis on their occupational status.  We expected that couples in higher status occupations spend fewer hours on household chores, compared to couples in lower status occupations.  In our study, when wives and husbands are examined separately, we found that occupation is not a significant predictor of household chore hours for husbands.  This finding suggests that occupational status and household chores do not relate when income and work hours are adjusted for husbands. 

    In contrast, wives who work longer hours and who earn higher income spend fewer hours on household chores.  These findings are consistent with previous research showing that wives with longer work hours and/or are high earners spend fewer hours on household chores (Bergen, 1991; Bianchi, et al., 2000).  Although wives' work hours in the labor force and income negatively relate to their chore hours, husbands' income and work hours little affect husbands' household chore hours.  These findings are also consistent with previous research regarding wives' 'second shift' work (Hochschild, 1989).  What is missing in this picture is to consider their chore hours as a couple, since wives' second shift work may well relate to their husbands' chore hours.  Ferree (1991) points out that wives' household work is exaggerated without consideration of husbands' participation.

    However, there is also some evidence that the amount of housework affects wages (Hersch and Stratton, 2002). Hersch and Stratton find that regardless of marital status, housework has a negative effect on wages.  They suggest that the negative effect is primarily due to typically female housework, which is more likely to consist of daily and time-consuming activities.  Thus, they conclude that housework may interfere with labor market productivity, with stronger effects for women.

    When household chore hours are examined at a couple level, our findings show that couples' occupational status does matter.  Overall findings are that couples in higher status occupations spend fewer hours on household chores than couples in lower status occupations; thus we argue that household work is not only an issue of gender inequality, but also it is an issue of class inequality.  This is an important finding since occupational differences are masked when wives and husbands are examined separately.  Our findings indirectly support Cohen's (1998) study which finds reduced household burdens among high occupational status couples.  Cohen (1998) examined differences in household expenditure on housekeeping and eating out by occupational status and other factors to conclude that class differences do exist, and our research supplements his study by examining chore hours differences by occupational status. 

    Perry-Jenkins and Folk (1994) also point out class differences in household chores.  Their study found that middle-class wives do less, in terms of the proportion of household work, than working class wives and they state that only examining husbands' class does not unveil these class differences.  Our findings also show an important issue raised by Perry-Jenkins (1988), who states that family research needs to shift focus from an individual level analysis to a couple level analysis. 

    In our analysis, the race variable is significant for husbands; we find that weekly, white men spend about 4 hours less on household work than do non-white men.  The finding is the same for couples; white couples spend about 4 hours less per week on household work than do non-white couples. 

    Our results are consistent with previous findings on differences in the household division of labor based on race and ethnicity. In an examination of the household division of labor among black and white couples, Orbuch and Eyster (1997) found that white husbands are significantly less likely to participate in traditionally feminine tasks at home, including taking care of children.  Similarly, John and Shelton (1997) studied the gendered context of household labor among blacks and whites, and also found that black men spend significantly longer hours on household work than do white men.  Further comparing the division of housework between black and white couples, Kamo and Cohen (1998) found that black men spend longer hours on housework (this measure does not include child care) than white men, and suggest that their finding is possibly due to more egalitarian families among black couples than white couples.  Finally, in a study of working class Mexican American women, Herrera and DelCampo (1995) examined dual-earner Mexican American families.  They found that most wives expected that their husbands are also involved in housework and child care. 

    The findings of greater inequities in the household division of labor for white couples than for African American, Hispanic and other non-white couples can also be explained using Becker's (1977) role specialization theory, since the labor force participation of women of color has historically been vital for the economic well-being of their families.  For example, as compared with white women, African American and Hispanic women have a longer history of labor force participation based on economic necessity.  Although their employment is typically less secure and lower paying than that of white women, the bread winner role is not primarily relegated to African American and Hispanic men. 

Conclusion

    Time spent on housework has declined for married couples who work. Our study makes the link between the types of jobs couples perform and their time spent doing housework.  Women workers in services industries are underemployed and underpaid as compared with their counterparts in professional jobs, leading to worsening economic conditions for these women. These conditions are compounded by race and ethnicity, as it is typically women of color who perform these jobs.  Women who work in non-professional and non-managerial occupations also spend more time doing housework than women with professional jobs. Thus, we argue that declining gender inequalities in the home and workplace are not representative of all women. Instead, they are more representative of middle class and affluent women.  Economic transformations are contributing to increasing rates of poverty for full-time workers who are already poor. 

    Our findings have implications for family stability among the less affluent as they experience attenuated social and economic stresses. Our study is limited in that we could not directly examine households' ability to purchase domestic services, as this is not examined in the NSFH. Although we could not directly determine the level of domestic purchasing by professionals, we assume that purchasing these services is increasing, which is consistent with the U.S. Census report (2006) that  service industries are expanding. 

References 

Artis, J. E. and Pavalko, E. K.  (2003).  "Explaining the Decline in Women's Household Labor:  Individual Change and Cohort Differences."  Journal of Marriage and Family 65: 746-761. 

Becker, G.S., Landes, E. M., and Michael, R.T.  (1977). "An Economic Analysis of Marital Instability."  Journal of Political Instability 85: 1141-1188.

Bergen, E. (1991).  "The Economic Context of Labor Allocation:  Implications for Gender Stratification."  Journal of Family Issues 12(2): 140-157. 

Bianchi, S. M., Milkie, M. A., Sayer, L C., and Robinson, J. P.  (2000). "Is Anyone Doing the Housework?  Trends in the Gender Division of Household Labor."  Social Forces 79(1): 191-228.

Blau, F.D., and Kahn, L.M. (2000). "Gender Differences in Pay." The Journal of Economic Perspectives 14(40): 75-99.

Brines, J. (1994). "Economic Dependency, Gender, and the Division of Labor at Home." The American Journal of Sociology 100(3): 652-688.

Cohen, P. N. (2004). "The Gender Division of Labor: 'Keeping House' and Occupational Segregation in the United States." Gender and Society 18(2): 239-252.

Cohen, P. N. (1998). "Replacing Housework in the Service Economy: Gender, Class, and Race-ethnicity in Service Spending." Gender and Society 12(2): 219-231. 

De Ruijter, E., Treas, J. and Cohen, P. N. (2005). "Outsourcing the Gender Factory: Living Arrangements and Service Expenditures on Female and Male Tasks." Social Forces 84(1): 305-322. 

Ferree, M. M.  (1991).  "The Gender Division of Labor in Two-earner Marriages:  Dimension of Variability and Change." Journal of Family Issues 12(2): 158-180. 

Hauser, R. M. and Warren, J. R.  (1997).  "Socioeconomic Indexes for Occupations:  A Review, Update, and Critique." Sociological Methodology 27: 177-298. 

Herrera, R. S.  and DelCampo, R. L.  (1995).  "Beyond the Superwoman Syndrome:   Work Satisfaction and Family Function Among Working-class Mexican American Women."  Hispanic Journal of Behavioral Sciences 17: 49-60.

Hersch, J. and Stratton, L. S. (2002). "Housework and Wages." The Journal of Human Resources 37(1): 217-229.

Hochschild, A. R.  (1989). Second Shift:  Working Parents and the Revolution at Home.  New York:  Viking. 

John, D.  and Shelton, B. A.  (1997).  "The Production of Gender Among Black and White Women and Men:  The Case of Household Labor."  Sex Roles 36:  171-193.

Kamo, Y. and Cohen, E. L.  (1998). "Division of Household Work Between Partners:  A Comparison of Black and White Couples."  Journal of Comparative Family Studies 29(1): 131-145. 

Orbuch, T.L. and Eyster, S. L. (1997). "Division of Household Labor among Black Couples and White Couples." Social Forces 76(1): 301-332.

Perry-Jenkins, M. (1988). "Future Directions for Research on Dual-earner Families: A Young Professional's Perspective."  Family Relations 37(2): 226-228. 

Perry-Jenkins, M., and Folk, K.  (1994).  "Class, Couples, and Conflict:  Effects of the Division of Labor on Assessments of Marriage in Dual-earner Families."  Journal of Marriage and the Family 56(1): 165-180.

Presser, H. B. (1994). "Employment Schedules among Dual-earner Spouses and the Division of Household Labor by Gender." American Sociological Review 59(3): 348-364.

Reskin, B. (1993). "Sex Segregation in the Workplace." Annual Review of Sociology 19: 241-270.

Ross, C.E. (1987). "The Division of Labor at Home." Social Forces 65(3): 816-833.

Shelton, B.A. (1990). "The Distribution of Household Tasks: Does Wife's Employment Status Make a Difference?"  Journal of Family Issues 11: 115-135.

Sweet, J. A., Bumpass, L. L., and Call, V. R.A.  (1988).  "The Design and Content of the National Survey of Families and Households." NSFH Working Paper No. 1.  Center for Demography and Ecology, University of Wisconsin. 

U.S. Bureau of the Census. (2003). "Net Worth and Asset Ownership of Households:  1998 and 2000."  U.S. Department of Commerce, Washington D.C.:  U.S. Government Printing Office.

U.S. Bureau of Labor Statistics. (2006). Characteristics of Minimum Wage Workers: 2004.  Washington D.C.:  U.S. Government Printing Office.

Van der Lippe, T., Tijdens, K. and De Ruijter, E. (2004).  "Outsourcing of Domestic Tasks and Time-saving Effects."  Journal of Family Issues 25(2): 216-240.
 

 Return to Sociation Today, Spring 2009 
 
 

©2009 by the North Carolina Sociological Association