The determinants of housework time

Boosting the efficiency of household production could have large economic effects

Virginia Commonwealth University, USA, and IZA, Germany

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Elevator pitch

The time household members in industrialized countries spend on housework and shopping is substantial, amounting on average to about half as much time as is spent on paid employment. Women bear the brunt of this burden, a difference that is driven in part by the gender differential in wages. Efforts to reduce the gender wage gap and alter gendered norms of behavior should reduce the gender bias in household production time and reduce inefficiency in home production. Policymakers should also note the impact of tax policy on housework time and consider ways to reduce the distortions caused by sales and income taxes.

Housework time exceeds 50% of that spent
                        on employment and education in many countries

Key findings


Contributions in the household sector are often undervalued, leading to underestimates of economic well-being.

Gender differences in housework time caused by gendered social norms or discrimination are not efficient.

Income and sales taxes distort incentives and lead individuals, especially women, to allocate more time than is socially optimal to household production.

Women who spend more time on housework have been found to earn lower wages, suggesting a vicious cycle, with wage differentials driving allocations to housework time and housework time driving wage differentials.


Household production yields valuable services and constitutes an important sector of the economy.

Gender differences in housework time that are caused by gender differences in opportunity costs or productivity are efficient.

Some observed differences in housework time could be attributable to preferences; the limited evidence available on preferences suggests that, on average, women prefer housework more than men do.

Gender differences in housework time have been declining and may be contributing to reduced gender differentials in earnings.

Author's main message

Substantial resources are devoted to household production, and boosting efficiency in this sector could have large economic effects. A number of policies could support this effort. Sales and income taxes motivate people to spend time on housework that would be better spent on other activities. Basing tax rates on individual rather than household earnings would reduce such incentives, particularly for women entering couple households. Policies to reduce labor market discrimination and discourage gendered norms of behavior would further enhance efficiency, but any gender differences in housework time that reflect different preferences or abilities are appropriate.


The focus in this paper is on routine household tasks that every individual performs, such as cleaning, laundry, meal preparation, home maintenance and repair, and shopping. Time spent on care activities for children and adults, in and outside of the household, is not addressed here. While caregiving is a very important use of time, research indicates that the determinants of caregiving differ substantially from those for routine housework and so deserve separate analysis.

Household members spend considerable time on these routine tasks even in industrialized countries. Figure 1 compares the time spent on housework and the time spent on employment and education for 26 developed countries, mainly for people between the ages of 15 and 65 [1]. The time devoted to housework exceeds 50% of the time spent on employment and education in 21 of these countries. Average time spent on housework ranges from a low of 92 minutes a week in South Korea to a high of 190 minutes a week in Estonia.

Time use by country, 1998–2009

Standard economic measures of well-being such as national gross domestic product (GDP) exclude the value of household production. No one disputes that housework produces valuable products, like clean clothes, well maintained homes, and healthful meals, which contribute to individual health and well-being. The difficulty lies in valuing this contribution. If this time were valued as highly as labor income, incorporating the value of household time in GDP would increase GDP by roughly the same proportion as the time differential between housework and employment, or 50%. More careful estimates vary with the methodology employed to value time but are also typically large. An Organisation for Economic Co-operation and Development (OECD) estimate for 2011 suggests that including unpaid housework would boost OECD average GDP by about 33% [1]. Improving inefficient resource allocation in this sector could have substantial ramifications throughout the economy.

Discussion of pros and cons

Understanding household production

Households decide what resources to devote to household production at the same time as they decide on their goods consumption, their participation in the labor market, and their leisure activities. As is the case for business firms, this resource demand is a function of desired output, available technology, and resource prices.

Demand for household output is not readily observable but can be said to logically vary with household characteristics. Larger households have more clothes to wash, more people to feed, and typically more living space to clean. Thus, larger households demand more household production. Wealthier households on average have larger homes that require more time to clean. Of course, different households have different preferences and different standards of cleanliness that introduce differential demands for housework.

On the supply side, both relative resource prices and production methods play important roles. The resources used to produce household goods include household members’ labor, raw materials, and capital equipment. Food and basic cleaning supplies are necessary no matter what production technology is adopted. The same household goods can, however, be produced using different production methods. Clothes and dishes can be washed by hand or using machines. Household appliances economize on household time, but at a price. Wealthier households are better able to afford that price, but relative resource prices are also critical. Earnings or potential earnings are commonly used to proxy for time costs. Higher income households have a higher opportunity cost of time and will find it more advantageous to substitute capital for labor resources in household production.

The importance of earnings potential can be demonstrated empirically in several ways. First, people aged 65 and older participate less in the labor market than people aged 15–64, and are generally believed to have a lower opportunity cost of time. Consequently, people in the older age group contribute one-third more time to routine housework than people aged 15–64 in the US and one-half as much more in Australia. Second, research indicates that time spent on housework is countercyclical, with people who are unemployed reporting more time on housework on average than people who are employed. Research suggests that time spent on home production may absorb 30% of forgone market work hours [2]. Third, people spend more time on housework on weekends than on weekdays, when most people face greater employment opportunities and so a greater opportunity cost of time. In Italy, the differential is 11%; in Australia it is 18%; and in the US it is almost 25%. Decisions regarding household resource use and production method are thus heavily dependent on relative resource prices.

Similarly, just as firms experience economies of scale in production, so will households. Both will choose the production technologies that allow them to produce at the lowest possible cost. Appliances come in different sizes to address different household needs, but costs are rarely proportional to size. While there is twice as much space to vacuum in a house that is twice as large as another, fixed setup and cleanup costs create some time. It takes twice as much food to produce a meal for two as a meal for one, but not nearly twice as much time. In general, while larger households will spend more time on housework than smaller households, household production is not best characterized by a constant returns to scale production function (in which outputs are directly proportional to inputs).

Finally, household goods can be purchased in the market: maids clean, handypersons do repairs, gardeners provide lawn services, laundromats wash clothes, restaurants, and even grocers, sell ready-to-eat meals. Expenditure data indicate that fewer than 10% of couple households hire maids, but many outsource meal preparation. Over 90% of couples responding to the UK Family Expenditure Survey of 2000–2001 reported having purchased ready-made meals or dined out in the previous two weeks. In the US, expenditures on meals away from home have risen from 25% of food expenditures in 1954 to 39% in 1980 to nearly 50% in 2013, even though the price of food away from home has increased somewhat faster than the price of food eaten at home. Not unexpectedly, the demand for service providers has been and remains quite sensitive to household income [3]. The relative quality of these substitutes is not clear, but households have certainly voted for these services with their purses.

A policy-relevant concern is that different resources used in household production are taxed at different rates. Sales taxes raise the cost of resources and services purchased in the market and, all else being equal, households facing higher sales taxes will use more labor and fewer goods and services in the production of household goods than is socially optimal. Income taxes will further distort this choice, causing households to adopt even more labor-intensive home production techniques. Progressive taxes aggravate the disincentives for higher income households. That some services, such as those provided by maids, handypersons, and gardeners, are provided in the black market diminishes this bias, but at a cost. France has taken a different path, implementing policies to reduce the tax burden associated with hiring maids and encouraging people to officially declare their use of domestic workers. The result is a particularly large increase in domestic service employment [4], which demonstrates the sensitivity of consumers to marginal prices.

Gender differences in housework time

The discussion so far has focused on household resource use. But households are made up of individuals, and the time allocated to housework varies substantially across individuals. The most notable differences are by gender. On average, women in OECD countries contribute 69% of routine housework time. This share is 61% in the US, 65% in Australia, and 77% in Italy. Theory suggests that gender differences in earnings will result in gender differences in housework time. On average, women are paid less than men and so will find time spent on household production less costly than men do. Indeed, the correlation between the gender wage gap and women’s share of unpaid work time across a set of 23 OECD countries is 0.43, meaning the larger the gender gap in earnings, the larger the gender gap in unpaid work time [1]. The gender difference exists among single-person households as well as multi-person households, but the difference increases with household size. In Australia, for example, among single people aged 15–64, women contribute 55% of average housework time, while women in couple households without children contribute 68% and those in couple households with children contribute more than 73%. Both economists and sociologists have sought to explain these gender differences in intra-household time allocation.

Intra-household time allocation: Theory

Two economic theories of household decision-making yield similar predictions [5]. Both assume time spent on housework is a necessary evil. One, the bargaining model of household decision-making, posits that people retain their individual utility functions (modified to incorporate the utility of others in their household) when forming joint households and bargain either cooperatively or non-cooperatively to maximize utility. The relative bargaining power of the individuals in the household is an important predictor of the time allocation. Each individual’s bargaining power is a function of that individual’s expected utility should the household break apart. This utility is a function of an individual’s opportunities in the marriage/couple’s market, his/her earnings ability, and assets. The better an individual’s outside opportunities, the greater that person’s bargaining power and the less time the individual is likely to spend on housework.

The second theory, the collective model of household decision-making, expresses household utility as a weighted sum of the utility of the individuals within the household. The weights are modeled as relative power functions. Thus, the individual with the most power has the most say in determining how resources and time are allocated within the household. Power is modeled as a function of the relative resources an individual contributes to the household, much like the bargaining literature models the bargaining power.

Both theories suggest that the partner with the greater earnings will spend relatively less time on housework, all else being equal, highlighting the importance of the gender wage differential in determining housework time. Both theories also acknowledge that differential productivity in household production and differential preferences for household-produced goods could be determining factors.

Sociologists also have a long history of work in this field [6]. Some sociological theories that explain why women spend more time on housework than men are closely related to economic theories: relative resources or power theory, for example, suggests that the partner with the most resources in the household will spend less time on housework. Sociologists, however, also emphasize the importance of ideology and beliefs. Gender role ideology and preferences regarding egalitarianism have been explored in this context. Theory predicts that households with more egalitarian preferences and less gendered norms of behavior will allocate household tasks more equally, all else being equal.

Sociologists also theorize that the division of household tasks may be a nonlinear function of relative earnings power—specifically, that women’s relative earnings and share of housework will be negatively related so long as women earn less than their partner but positively related when women earn more than their partner. Women in this case spend more time doing housework (or men less) in order to demonstrate that they are still women (or men)—known as “doing gender.” To the extent that beliefs and ideology influence household time allocation, economic efficiency declines. Policy prescriptions that counter gendered notions of behavior will increase the economic efficiency of time allocations. The most effective policy may be education interventions to provide boys and girls with gender-neutral role models and common household production skills.

Intra-household gender differences: Evidence

Attempts to validate these theories empirically have had varied success. That earnings are negatively related to housework time for women is well documented [5]. Results for men suggest little relation, which is perhaps not surprising given that men’s labor supply varies little with earnings. However, on average women spend more time on housework than their partners even when their earnings are comparable, indicating that earnings differentials alone cannot explain the entire gender difference in housework time. Little evidence exists on gender differences in productivity, but it seems unlikely that productivity differences in such simple tasks as cleaning, laundry, or dishwashing would be substantial.

Furthermore, tax policy may aggravate gender differences in time allocation. As stated earlier, income taxes are likely to cause households to allocate more time to household production and less time to market production than would be socially optimal. Research finds that single women, but not single men, increase their housework time when marginal tax rates rise [7]. Given observed gender differences in earnings, these results suggest that progressive tax rates based on household rather than individual income will have a disproportionate impact on women forming joint households with men, increasing women’s propensity to allocate time to housework. Taxes based on individual rather than household earnings will distort incentives less [8].

Evidence also supports other theoretical models of household time allocation. Sociologists have documented evidence of “doing gender” in Australia and the US, though not in Sweden, where more egalitarian attitudes may diminish the impact of gender norms [6]. Indeed, it is in Scandinavian countries that women contribute the smallest share of housework. In sum, evidence indicates that the gender difference in reported housework time is related to differences in opportunity cost, in relative power within the household, and in ideological preferences regarding the role of men and women in society.

Explaining gender differences in housework time becomes particularly important if individuals who expend more time and energy on housework have less time and energy for market employment and as a result earn lower wages. A substantial literature documents such a negative relation, particularly for women. The evidence is especially strong for the US, but has been reported using data for Australia, Canada, Denmark, and the UK. Results for Germany are mixed [9]. Such a feedback loop is of substantial concern as it is likely to perpetuate gender differences in both earnings and housework time.

Changes over time

If housework time is inversely proportional to earnings power, the time devoted to housework should have decreased over time as real wages rose. Technological advances in household production (the introduction of the washing machine, the microwave, and so on) should also have reduced the time devoted to housework. The data illustrate such a trend [10]. Average time spent on routine housework has declined 17% over the last 50 years, from 22.1 hours a week to 18.3 hours for people aged 21–65 in the US. The decrease is particularly marked for women (from 32.9 hours a week to 22.6), whose real wages have increased more than those of men. Men have modestly increased their housework time (from 9.7 hours a week to 13.4). International evidence is limited, but some evidence for Australia between 1992 and 2006 indicates a common trend toward gender equalization in housework time.

Differentiating between housework tasks

The discussion above assumes that housework constitutes a single task, which is certainly not the case. The routine housework discussed here includes meal preparation and cleanup, laundry and house cleaning, lawn and pet care, maintenance and repair activities, and shopping and other services. While an individual’s opportunity cost of time in terms of forgone earnings will be similar across tasks, some tasks require more skill than others—meal preparation and maintenance and repair activities in particular. On average, social norms suggest that women acquire more food-related skills and men more repair-related skills.

Gender differences by task are well documented. Figure 2 illustrates the average minutes per week that men and women spend on five different housework tasks [1]. Women on average spend substantially more time than men on food preparation and cleaning and substantially less time on maintenance and repair activities. Gender differences are less pronounced for shopping and other services and for lawn and pet care.

Housework time by gender and household
                        type for people aged 25–60

These figures do not control for household type. Single people are unable to specialize but must complete all necessary household tasks no matter their skill. In multi-person households, individuals can specialize to take advantage of skill differentials, to save on the fixed costs associated with set up, and to benefit from learning by doing. Thus, it is of some interest to compare household time use by task between single and multi-person households. Figure 2 shows that for Italy and the UK, the within-country distribution of time spent by task is similar for single-person and childless couple households. Cross-country differences are more pronounced: Italian households devote more time to meal preparation and cleaning, but less to lawn/pet care and maintenance than their counterparts in the UK.

The data for the UK provide evidence of specialization in housework, with married men spending less time on housework than single men, and married women spending more time than all the others. In both countries there is evidence of specialization by task. In the UK, married women spend more time and married men less time on average on meal preparation, cleaning, and shopping than their single counterparts. Married men, on the other hand, spend a little more time and married women a little less time on average on lawn/pet care and maintenance. The pattern is similar in Italy for meal preparation and cleaning, but for shopping, lawn/pet care, and maintenance, married people on average report more time than single people of the same gender.

Figure 2 provides evidence consistent with specialization, but sample averages are not necessarily indicative of household-level allocations. On average, women may contribute 70% of the household time spent on an activity, when in fact there is complete specialization within households. Such would be the case if the same time were spent in all households, but in 70% of the households women performed the activity being measured and in 30% of the households men performed the activity being measured. Evidence from Danish and US couple households confirms that specialization is greater at the household level than indicated by averages alone [11]. Figure 2 could also reflect different preferences, as these data reflect how individuals in different types of households spend their time, not how individuals change their time use following marriage.

Preferences and time use

Preferences for goods produced in the home and for the activities themselves will affect time allocations. People who place a higher value on home-produced goods will naturally devote more resources to their production—including more time. Those who enjoy the activities themselves, will optimally invest more time. Much of the research in this area assumes that no one enjoys housework or housework time.

Data on preferences are limited and typically are activity- rather than outcome-based. Not surprisingly, evidence (from the US) indicates that on average cooking, shopping, and gardening—hobbies for some people—are preferred to more mundane tasks like washing dishes, setting the table, and cleaning the house [12]. Yet other evidence (from the UK) indicates that preferences vary, both by gender and by household type. Women are more likely than men to report enjoying cooking, cleaning, gardening, and even laundry and ironing. Men are more likely to report enjoying repair work. Thus, differences in preferences could explain some of the gender difference in reported time. Men in couple households are more likely than single men to report enjoying repair work, while single women are more likely than women in couple households to report enjoying repair work. Single men are more likely than their coupled counterparts to report enjoying cooking, shopping, cleaning, laundry, and even ironing. Single women report enjoying cleaning more often than women in couple households, but few other patterns stand out by household type for women. Whether preferences change with marriage or whether people who marry have different preferences than those who are single is not clear, but some of these differences could also support observed differences in intra-household time use.

In the one study that incorporates individual-specific preferences in an analysis of couples’ housework time, the evidence suggests that men’s preferences matter more than women’s [13]. The more men reported enjoying housework tasks, the more time they spent and the less time their partner spent on housework. Women’s preferences had no significant impact on the time allocated to housework. That any preferences were significantly associated with housework in this analysis is noteworthy because only house cleaning, laundry, ironing, and food shopping activities were analyzed. The study also suggested that household members are substitutes on weekdays and complements on weekends. The positive correlation between his and her housework time on weekends could be evidence that partners share common preferences or that couples engaged in home production produce more than just housework; they may be investing in their relationship by spending time together. In sum, despite the typical assumption that no one enjoys housework activities, preferences do appear to play a role.

Limitations and gaps

While the literature on home production is substantial, it is lacking in several respects. First, there has been little analysis of the nature of the home production function. Whether economies of scale are important, how valuable experience is, the extent to which capital goods substitute for labor, even whether there are fixed time costs associated with production that might influence the timing of as well as time spent on such activities—these are all relatively unexplored research questions whose study could advance understanding of the demand for housework time. Second, information is lacking on decision-making in multi-person households. Theories abound, but there is no consensus on the appropriate way to model this decision-making. A more accurate model would shed light not only on household time allocations but also on household consumption decisions. Third, although evidence suggests that preferences constitute an important determinant of individual time use, data on preferences are rarely available. If reported differences in housework time are due primarily to different preferences, policy actions are unnecessary. Only data on preferences can address this key question.

Summary and policy advice

The time spent on home production constitutes a significant resource that is not recognized in national accounts and is likely greater than is socially optimal given its exceptional position as an untaxed input. Marked gender differences in household time use exist. Gender differences in earnings play an important role, and that role is of some concern given the evidence that the time women spend on housework is quite sensitive to intra-household earnings differences and that women’s wages are negatively affected by time spent on housework.

Designing tax policies that focus on individual rather than household income would reduce women’s tax-distorted incentive to increase their home production time once they are married. Policy designed to reduce the gender wage gap could also reduce the gender gap in housework time. However, the gender wage gap alone cannot explain the entire gender difference in housework time. Some of the difference has been attributed to differences in social norms; more of the difference may be attributable to differences in relative productivity and preferences. Education programs that provide both boys and girls with the skills necessary to maintain a home and that discourage gendered notions of behavior could increase the efficiency of time allocation decisions. Preferences are for individuals to determine, not policymakers. There is evidence that the overall time spent on home production and gender differences in housework time are decreasing, mostly because women now spend less time on home production. Whether this change is for the better depends on how one values home production.


The author thanks an anonymous referee and the IZA World of Labor editors for many helpful suggestions on earlier drafts. Previous work of the author contains a larger number of background references for the material presented here and has been used intensively in all major parts of this article [3], [5], [11], [13].

Competing interests

The IZA World of Labor project is committed to the IZA Guiding Principles of Research Integrity. The author declares to have observed these principles.

© Leslie S. Stratton

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The determinants of housework time

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