1 Introduction

About one in five male household heads in the United States experiences a work-limiting disability by age 30 (Meyer & Mok, 2019), suggesting that such disabilities are relatively common. Disabilities are associated negatively with individuals’ well-being as well as the well-being of their families. Most obviously, work-limiting disabilities reduce employment. According to the U.S. Bureau of Labor Statistics (2020b), only 19.3% of persons with a disability were employed in 2019, compared to 66.3% of persons without a disability. In addition, work-limiting disabilities are associated with both lower educational attainment and lower household income. Olkin et al. (2006), examining parents of teenagers, show that those with work-related disabilities are twice as likely to have less than a high-school education and have lower incomes than those without disabilities, on average. Meyer & Mok (2019) show that post-transfer incomes are below the poverty line for one-sixth of families in which the male household head experiences a chronic, severe disability.

Potentially compounding the negative effects of work-limiting disabilities on the livelihoods of the disabled are significant negative effects on their children. According to the Current Population Survey (CPS), the percentage of teenagers aged 15–17 who were living with a parent who had a work-limiting disability severe enough to keep them from working for the next 6 months ranged between 5.1 and 6.5% over the 2003–2019 period (Fig. 1).Footnote 1 Teens living in households with parents experiencing such a work-limiting disability may be affected along several dimensions, including greater expectations to contribute time and money to the household, a lack of parental supervision, added stress, reduced resources toward postsecondary education, and less time and money invested in them by their disabled parents.

Fig. 1
figure 1

Percentage of teenagers aged 15–17 living with a parent who has a work-limiting disability. Note: N = 1,075,439. The sample is restricted to those teens living with a parent. Source: Authors’ calculations based on the Current Population Survey

In this paper, we explore one dimension—teenagers’ time use—which may shed light on the mechanisms by which intergenerational transmission of human capital, income, and wealth outcomes may occur. Most previous studies of the effects of parental disability or health on children have not examined children’s time use. Also, many studies examining the effects of parental health or disability on children have focused on countries other than the U.S. Using data from the 2003–2019 American Time Use Survey (ATUS), we focus on how U.S. teens’ time use is related to living with a parent experiencing a work-limiting disability. We investigate whether teenagers take on additional caregiving and household responsibilities and, if so, whether this increased time spent on domestic responsibilities might be at the expense of time spent investing in educational activities. Given the gendered nature of such activities, we examine teens’ time allocation separately for boys and girls. We also examine whether the gender of the disabled parent matters in two-parent households, because children spend more time with their mothers, and mothers and fathers invest their time differently in their teenage daughters and sons (Del Boca et al., 2014; Lundberg et al., 2017; Pabilonia, 2017; Pabilonia & Vernon, 2022). Mothers also spend more time actively engaged with their children in educational activities (Caetano et al., 2019).

Our results show that the associations of parental disability with teenagers’ time use are gendered. For girls, we find that living with a disabled parent is associated with less time spent on educational activities, including both class time and homework, less time spent on shopping, and more time spent on pet care and leisure. For boys, living with a disabled parent is associated with less time spent sleeping on schooldays. In addition, when examining the time spent by girls and boys in two-parent households, we find that the gender of the disabled parent matters. Girls living with a disabled mother in a two-parent household spend less time on educational activities and shopping and more time on pet care. Girls living with a disabled father in a two-parent household spend less time on shopping and food preparation and cleanup. Thus, it appears that the activities most affected by the gender of the disabled parent for girls are educational ones, although girls may take over some of the pet-care duties of their disabled mothers. Boys living with a disabled mother in a two-parent household spend less time on housework and caring for household children. However, if their father is disabled, boys spend more time on food preparation and cleanup. Boys living with a disabled father also spend less time with their mother. Thus, there are differences in teens’ time use that depend on both the gender of the teen and of the disabled parent, with teen girls likely being worse off than teen boys given the reduction in educational time. Our results suggest that differences in teenagers’ time investments are a plausible mechanism for gender differences in intergenerational economic mobility by parental-disability status.

2 Background

There are several mechanisms through which teens’ time use may be affected by a parental disability. First, teens living with a disabled parent may be called upon to contribute more time or money to the household than teens not living with a disabled parent, which may affect their education negatively. Disabled parents may not be able to do housework or care for household children and may need extra assistance in caring for themselves. Teenagers may be requested to fill in these gaps and, given recent findings by Schulz (2021) that children’s housework time within the family continues to be gendered, the additional caregiving burden within the household may fall primarily on daughters.

In a large U.S. survey focused on learning more about young caregivers aged 8–18 who cared for either parents or grandparents, Hunt et al. (2005) find that young caregivers spend more time doing household tasks than young persons who do no caregiving. They also find that the caregiving responsibilities of young, female caregivers affect their schoolwork. Mont & Nguyen (2013) examine the effect of parental disability on the education of children in Vietnam and find that having a disabled parent reduces both a child’s probability of attending school and the expected number of grades completed. They also find that the effect is larger for boys and that it is more pronounced when the mother is the disabled parent. Miles et al. (2011) show that children aged 0–17 living with disabled caregivers in North Carolina have lower grades and higher absenteeism. Haveman & Wolfe (1994) show a negative relationship between educational attainment and the length of time a parent has had a work-limiting disability.

Although not directly examining parental disability, Kalenkoski et al. (2011) find that teen girls living in single-parent households or with less-educated parents have extra household and/or market work responsibilities compared to other teen girls and spend less time on homework than teens not living in such households. Also related to teens’ education, Kalenkoski & Pabilonia (2012) show that teen employment reduces time spent on homework. This may be an issue if teens work more in response to a parental disability.

Second, negative effects of living with a disabled parent may occur because of a lack of parental supervision as the parent struggles to deal with daily tasks. There is strong evidence that parental/adult supervision makes teens less likely to take part in risky behaviors and reduces truancy (Aizer, 2004; Averett et al., 2011; See, 2016), and that teens living in disadvantaged households are less likely to be supervised (Kalenkoski et al., 2011). Parents invest time in their children to produce higher quality children (e.g., Bernal & Keane, 2010; Caetano et al., 2019). In supervising their activities, they may help or encourage their teenagers to do more homework and chauffeur them to extracurricular activities or sports practices and games (Ramey & Ramey, 2010). As children enter adolescence, they make more of their own decisions about how they will invest their time, and Del Boca et al. (2017) show that adolescents’ own time investments matter more than maternal time investments for their cognitive development. If disabled parents do not supervise their teens, teens’ investments in themselves may occur less often or not at all. For example, Pabilonia (2017) shows that as the state unemployment rate rose during the Great Recession and mothers worked more hours on weekends, teenage boys spent less time with their mothers, less time on homework, and more time watching TV. However, if disabled parents who are not working spend more time in the home than non-disabled parents, it is also plausible that they could spend more time supervising their children’s activities in the home.

Third, having a parent with poor health could be stressful, which could have negative effects on teens. Hunt et al. (2005) find that children aged 12–18 who provide household adults or relatives with at least one activity of daily living exhibit more fluctuations in their moods and feelings. Many of them report missing schoolwork or being absent from school. Kristiansen (2021) finds that Danish children are more likely to be prescribed ADHD medication and go to therapy following a parental health crisis, and the effects on their mental health persist even 5 years later. In addition, their school test scores are lower, and they are less likely to be enrolled in school.

Fourth, educational attainment beyond high school may be reduced if parental disability lowers family income and/or greatly increases medical expenses and thus reduces the household’s ability to afford postsecondary schooling (Manoli & Turner, 2018; Hardy & Marcotte, 2022). Lower incomes also may result in lower parental monetary investments in extracurricular activities, such as SAT prep classes, music lessons, or private club sports, that have the potential to increase their children’s probability of acceptance to college or motivate their children to pursue their education further (Kaufman & Gabler, 2004; Buchmann et al., 2010; Park et al., 2016).

Fifth, future earnings may be lower if children of disabled parents invest less in their education. Jajtner (2020) finds that living with a parent who has a work-limiting disability negatively affects girls’, but not boys’, intergenerational economic mobility, especially those from lower-income households. Those who live with a parent with a severe disability (one that interferes a lot or completely with the ability to work) are the most affected.

3 Related literature on parental health shocks

There is a growing literature showing that parental health shocks lead to reduced educational outcomes for children, and some studies have found that the gender of the parent and the child matter in determining these outcomes. For example, using detailed longitudinal data from Denmark, Aaskoven et al. (2022) find that the first onset of cancer in a parent negatively affects the likelihood that children will start and finish secondary education and lowers their ninth-grade final-exam scores. The effects are stronger for girls than for boys when the mother is the parent experiencing the health shock and when the shock is more severe, as measured by cancer-specific survival rates. Their study points to the effects being driven by reduced parental time and emotional investments rather than negative income shocks. In a longitudinal study of childhood poverty in Ethiopia, India, Peru, and Vietnam, Dhongde & Shemyakina (2018) find that parental health shocks reduce grade attainment, but they do not examine gender differences.

A few papers also report the effect of parental health shocks on children’s time allocation in developing countries. Dinku et al. (2018) show that Ethiopian children whose fathers experience a health shock spend less time in school, while Ethiopian children whose mothers experience a health shock spend less time playing and in market work but more time on household tasks. They also show that maternal health shocks affect daughters more than sons and that paternal health shocks affect sons more than daughters. Dillon (2012) shows that in Mali, parental health shocks lead to an increase in children’s time in household enterprises and child care of other siblings. Using longitudinal time-use data and fixed effects, Alam (2015) shows that in Tanzania, a father’s illness negatively affects primary-to-middle-school-aged children’s school attendance and suggests that this likely results from the inability of the family to pay for schooling when the primary breadwinner can no longer work. Using individual fixed effects, Bratti & Mendola (2014) find that in Bosnia and Herzegovina, a mother’s illness negatively affects the school enrollment of teenagers and young adults. Using panel data from Vietnam, Mendolia et al. (2019) also find that a mother’s illness negatively affects the likelihood that adolescents, particularly girls, are enrolled in school and positively affects their working time, while a father’s illness has no effect on their schooling but increases their likelihood of being employed.

4 Data and descriptive statistics

The ATUS is a time-use survey that draws its respondents from households that have completed their final CPS interview (U.S. Bureau of Labor Statistics 20032019). For a subsample of these CPS households, one individual aged 15 or older per household is selected randomly for the ATUS. Besides answering some survey questions that update information about the respondent provided in the CPS (but no information about their parents other than their presence in the household), one 24-h time diary is collected that details how the respondent spent his or her time beginning at 4 a.m. on the day prior to the interview and ending at 4 a.m. on the day of the interview. Respondents are interviewed most days of the year, except for major holidays. Half are interviewed on weekdays, while the other half are interviewed on weekend days. We use ATUS final weights, reweighted separately for equal-day-of-the-week representation for our male and female teen samples, in all our analyses to provide nationally representative estimates of time use for an average day.

For this study, we restrict the sample to unmarried teenagers aged 15–17 who lived with their parents, did not have their own children, and who were interviewed between 2003 and 2019.Footnote 2 In addition, because we are interested in examining the time that teenagers spend on school-related activities, we restrict the sample to school-year months (September–May).Footnote 3 Our main independent variable is an indicator for whether a teenager lived with at least one parent who had a severe work-limiting disability. This indicator is created using several variables from the ATUS-CPS file which contains information collected in the final CPS interview approximately 2–5 months prior (85% of ATUS interviews occur within 2–3 months after the CPS) and is intended to identify parental disabilities that are severe enough to prevent the parent from doing any kind of work for the next 6 months.Footnote 4 In the labor force section of the CPS, respondents initially are asked whether they are working: “Last week, did you do ANY work for pay?” If they respond that they are disabled or unable to work, then they are asked additional disability questions to determine whether the disability is long-term rather than a temporary illness. Specifically, CPS respondents are asked, “Does your disability prevent you from accepting any kind of work during the next six months?”Footnote 5 Thus, at the time that teens are interviewed in the ATUS, their parents’ work-limiting disability status should still be valid.Footnote 6 We acknowledge that this information is self-reported and may be subject to measurement bias, in which case our estimates would be biased toward zero. Our ATUS sample includes 3021 females and 3304 males (see Appendix Table 10 for information about the sample construction), of which 162 females and 185 males lived with a parent who had a work-limiting disability (about 5.8% of teenagers aged 15–17).Footnote 7

For the time-diary portion of the interview, respondents report the start and stop time for their primary activities only (except for secondary child care of children under age 13), as well as where the activities took place and who was with them during the activity (for most activities). We examine teenagers’ major time-use activities (school, work, household production, leisure, and sleep) as well as specific subcategories that may vary by parental-disability status (class time, homework, sports and other extracurricular activities, housework, shopping, food preparation and cleanup, caring for household children, caring for or helping household adults, and pet care). Appendix Table 11 details which activities are grouped into the categories examined. We also look at the time that respondents spend with a parent, one measure of parental supervision. When at home, “with whom” information covers all persons in the same room as the respondent at the time of the activity, unless the activity is sleeping, grooming, private activities, refused to classify type, or cannot remember.Footnote 8 It is possible that parents may be home and aware of their children’s activities but are not directly involved in them, and thus this indirect supervision would not be captured in our measure. While away from home, “with whom” information covers all persons who accompanied the respondent during the activity. In an exploratory analysis, we also considered all time teenagers spend with younger siblings as a measure that they were helping to care for household children while doing another primary activity; however, we did not find any support for this hypothesis.

Table 1 presents the mean time spent in these activities on the average day for girls, by parental-disability status. We observe that girls living with a disabled parent spend about 80 min less on school and schooling-related activities on an average day than girls not living with a disabled parent. This includes 42 min less in class, 35 min less doing homework, and 3 min less on sports and extracurricular activities (although this latter difference is not statistically significant at conventional levels). Table 2 presents the same descriptive statistics, but for teen boys. For boys, we find no statistically significant differences in mean time spent on school and schooling-related activities when a disabled parent is present in the household.

Table 1 Summary statistics for teen girls’ activities, by parental work-limiting disability status
Table 2 Summary statistics for teen boys’ activities, by parental work-limiting disability status

There are no differences in overall household production activities for either girls or boys by parental-disability status, but there is a small, statistically significant difference in shopping time for girls. On an average day, girls who live with a disabled parent spend 8 min less shopping than girls who do not live with a disabled parent. These results suggest that teens living with disabled parents are not overburdened by housework or caregiving activities. Indeed, girls who live with a disabled parent are spending more time on leisure activities (38 min more) on the average day than teens who do not live with a disabled parent. There is no difference in the amount of time that they spend with a parent by parental-disability status.

In Table 3, we present descriptive statistics for our control variables, by parental-disability status. We observe several clear demographic differences between teenagers living in households with a disabled parent and those living in households without a disabled parent. For both boys and girls, those living with a disabled parent are more likely to be living with a single mother, less likely to live with a parent who has a bachelor’s degree, less likely to have younger siblings, and more likely to live in households with incomes less than $30,000 per year. Girls living with a disabled parent are more likely to be nonwhite, have fewer siblings overall, and are less likely to live in a metropolitan area.

Table 3 Summary statistics for control variables, by teen’s gender and parental work-limiting disability status

5 Econometric analyses

5.1 Estimation methods

To examine the relationship between parental disability and teenagers’ time use, we estimate two models. Given the large number of zeroes for minutes spent in several activities (see column 1 in Tables 1 and 2) and because teens may not regularly participate in these activities, especially when we consider schooldays and non-schooldays, we estimate tobit models by maximum likelihood estimation rather than linear models by ordinary least squares (OLS) for those activities.Footnote 9 Outcomes in the tobit models include daily minutes spent on activities in the broad time-use categories of school and schooling-related activities, work and work-related activities, and household-production activities. Daily minutes spent in the various subcategories of school and schooling-related activities and household-production activities are examined in separate models as well. These models are specified as follows:

$$\begin{array}{l}Y^ \ast = \beta _0 + \beta _1D + \beta _xX + \varepsilon ,\\ Y = Y^ \ast \,{{{\mathrm{if}}}}\,Y^ \ast \,>\, 0,\\ Y = 0\,{\mathrm{if}}\,Y^ \ast \le 0,\end{array}$$
(1)

where Y* is a latent variable for desired time use; Y is the observed time-use variable measured as daily minutes spent on an activity; D is an indicator variable equal to 1 if the teenager lives with a parent who has a work-limiting disability and 0 otherwise; and X is a vector of control variables. Bratti et al. (2020) among others show that family size and sibling-age structure are important in explaining parental investments in children. Therefore, we include a continuous measure of the number of siblings (to control for family size) and indicator variables for having younger siblings in the home (as they might require care or supervision from the teen), having older siblings in the home (as they may be more likely called upon to provide care than the teen respondent or may act as a role model), and having same-age siblings in the home (to more completely control for sibling structure). X also includes demographic and economic variables that are standard in time-use studies, including indicators for age, nonwhite, Hispanic ethnicity, single mother, single father, parent has a bachelor’s degree, extra adult (older than age 18) in the household, household income ($30,000–74,999, ≥$75,000, missing), lives in a metropolitan area, Census region, weekday, month, and year.Footnote 10β0 is a constant. The coefficient β1 and vector of coefficients, βx, are to be estimated. The error term, ε, follows a normal distribution with mean 0 and variance σ2. The subscripts indicating individual observations are suppressed.

Daily minutes spent sleeping, daily minutes spent in leisure activities, and daily minutes spent with a parent are examined in separate models. As all students regularly spend some time sleeping, in leisure, and with a parent, we estimate the following linear models by OLS for these activities:

$$Y = \gamma _0 + \gamma _1D + \gamma _xX + \mu$$
(2)

where Y is daily minutes spent in each time-use activity and the other variables are defined as above. γ0 is a constant. The coefficient γ1 and vector of coefficients, γx, are to be estimated; μ is the error term with mean 0 and variance σ2.

5.2 Results

Table 4 presents our main results showing the estimated average marginal effects for the observed time-use outcomes from the tobit models and coefficients for the linear models.Footnote 11 These show the relationships between parental-disability status and teens’ time use on the average day, controlling for demographic and economic factors.Footnote 12 Boys’ time use is largely unrelated to living with a disabled parent with the exception that they spend 29 min less sleeping than boys not living with a disabled parent. Girls living with a disabled parent, however, spend substantially less time in school and schooling-related activities on the average day (55 min less) compared to girls not living with a disabled parent. They spend 19 min less doing homework and 41 min less in class. Girls with a disabled parent spend more time doing pet care (3 min more) and less time shopping (6 min less) than girls without a disabled parent. They also get more leisure than girls without a disabled parent (28 min more). The estimated negative relationship between homework time and parental disability and the estimated positive relationship between leisure and parental disability for teen girls are consistent with the hypothesis that children living with a disabled parent receive less supervision (or the disabled parent is more lenient) than children not living with a disabled parent, although we find no direct evidence that they spend less time with a parent.Footnote 13

Table 4 The relationship between parental work-limiting disability and teen’s time spent on activities in minutes per average day, by teen’s gender

We consider whether our main results differ by whether a teen has younger siblings or older siblings by adding interactions of these indicators with parental-disability status to our models. For girls, we do not find that the results are meaningfully different for schooling or pet-care activities by sibling-age structure (Table 5). However, we do find that girls with younger siblings spend more time on leisure activities and with a parent compared to girls without younger siblings if they live with a parent who is disabled, while girls with older siblings do not differ from girls without older siblings in their time use on these activities by parental-disability status. In addition, girls with older siblings are more likely to work if their parent is disabled, perhaps because their older siblings can provide them with job connections. For boys, we do not find that the results are different for sleep by sibling-age structure. However, we find a negative relationship between parental disability and shopping for boys with younger siblings and a small negative relationship between parental disability and caring for household children for boys with older siblings. The latter is consistent with prior research suggesting that older children may have more responsibilities in the household than younger siblings.

Table 5 The relationship between parental work-limiting disability and teen’s time spent on activities in minutes per average day, by sibling-age structure

Table 6 shows the relationships between parental-disability status and teenager time use for the major time-use categories and homework on schooldays and non-schooldays separately. Girls living with a disabled parent spend less time in school and schooling-related activities, with one fourth of the reduction coming from homework time, on schooldays only. Boys living with a disabled parent do not have a reduction in educational time on any day, but they do sleep less and engage more in paid work on schooldays. On non-schooldays, however, they spend less time on paid work. Thus, the timing of teens’ educational activities, work activities, and sleep are related to a parent’s disability, with potentially detrimental effects on student achievement.Footnote 14 Sample sizes are reduced significantly when examining schooldays and non-schooldays separately, so we do not look at this breakdown when we look at two-parent households and single mothers separately.

Table 6 The relationship between parental work-limiting disability and teen’s time spent on activities in minutes per day, by teen’s gender and on schooldays and non-schooldays

Tables 7 and 8 examine the time use of teenagers living in two-parent households to determine whether the gender of the disabled parent matters. Table 7 shows the results for girls and Table 8 shows the results for boys. For teen girls living in two-parent households, mother’s disability status matters more for their time allocation than father’s disability status. Girls spend 71 min less in school and schooling-related activities when they live with a disabled mother compared to girls that do not. They also spend 9 min more on pet care if they live with a disabled mother. Girls living with a disabled father spend 5 min less on food preparation and cleanup. Regardless of the gender of the disabled parent, girls spend 9 min less time shopping if they live with a disabled parent.

Table 7 The relationship between parental work-limiting disability and teen girl’s time spent on activities in minutes per average day in two-parent households, by gender of disabled parent (N = 2077)
Table 8 The relationship between parental work-limiting disability and teen boy’s time spent on activities in minutes per average day in two-parent households, by gender of disabled parent (N = 2312)

Looking at the results in Table 8, we observe that, for the most part, father’s disability status matters more than mother’s disability status for teen boys’ time allocation in two-parent households, which is consistent with research suggesting that gender-specific parental role modeling is pervasive, as fathers spend more time with sons and mothers spend more time with daughters (Morgan et al., 1988; Noller & Callan, 1990; Lundberg et al., 2017). Boys living with a disabled mother spend 5 min less on housework and 3 min less caring for other household children. Boys living with a disabled father spend about 9 min more on food preparation and cleanup than boys who do not and less time with their mothers (31 min less). One plausible explanation for the latter result is that their mothers are busy caring for their husbands, because formal care is often prohibitively expensive or not preferred (Lee, 2020). Another plausible explanation is that their mothers are more likely to be employed or working longer hours to support the family.Footnote 15 To explore these hypotheses, we use a separate sample of mothers living with teenage boys in coupled households from the ATUS to examine the relationship between mothers’ time allocation and the disability status of the mother and father; however, we do not find any relationship between the employment status or minutes worked and the father’s disability status nor do we find mothers reporting that they spend less time with their sons or more time with their partners (see Appendix Table 15). Milkie et al. (2021) show, however, that parents and teens perceive and report time together differently, so this may be why we are not seeing the expected associations.

Finally, in Table 9, we examine boys and girls in single-mother households (the sample of single fathers is too small to examine separately). We find that boys’ time use is unrelated to mother’s disability status. However, girls living with a disabled single mother spend less time in class and on homework (61 and 18 min, respectively) and more time on leisure activities (52 min) than girls living with non-disabled single mothers.

Table 9 The relationship between parental work-limiting disability and teen’s time spent on activities in minutes per average day in single-mother households, by teen’s gender

6 Summary and discussion

Using the 2003–2019 ATUS, we examine the relationship between a parent’s severe, work-limiting disability and teenagers’ time allocation. We find that girls living with a disabled mother are at risk for poorer educational outcomes, as they spend about an hour less on school and schooling-related activities on an average day than those not living with a disabled mother. The reduction appears to be concentrated primarily on schooldays, as expected, and it is true both in two-parent families and in single-mother families. The sizeable negative relationship between educational time and living with a disabled parent for girls, but not boys, in the full sample is consistent with Jajtner’s (2020) finding that girls’, but not boys’, intergenerational economic mobility is affected negatively by parental disability.

Another important finding for girls is that they spend more time in leisure when living with a disabled mother, even as they are spending less time in educational activities. Perhaps this is because living with a disabled mother means less supervision of teen girls’ activities. Girls’ time use appears to be largely unaffected by a father’s disability, consistent with other empirical evidence showing that mothers and fathers spend time differently with girls and boys (e.g., Lundberg et al., 2017; Schulz, 2021).

Although the educational time use of teen boys is unrelated to having a disabled parent, boys spend less time sleeping and more time in market work, which could still have negative implications for their educational outcomes. Their time use also appears to be more related to the father having a disability than the mother, again consistent with the idea that mothers and fathers spend time with girls and boys differently.

Finally, we note that controlling for income does not affect our findings. Thus, further policies beyond SSDI that provide income to disabled parents may not improve their children’s time allocations.

7 Limitations

A limitation of the current study is that we cannot control for unobserved household heterogeneity in this cross-sectional analysis. However, unobserved parental characteristics may affect both a parent’s health and a teen’s activities (Bratti & Mendola, 2014). One example might be future orientation. Parents who place less emphasis on the future may engage in risky behaviors that affect their future health. They also may convey to their children this lack of emphasis on the future, which might cause them to spend less time in educational activities.Footnote 16 Future research in the U.S. could use panel-data techniques to control for this unobserved household heterogeneity if repeated observations were available on the same families. In addition, future research should explore how changes in teens’ time allocation resulting from parental disability affect future educational outcomes.

Another limitation is that a teenager’s co-residence with a parent may be endogenous to the parent’s disability. That is, whether a teen lives with a disabled parent may be related to the disability itself. We cannot address this issue with our data because we only have information about parent’s disability status if teens live with their parents. However, the impact of this potential endogeneity is likely to be small, given that only 3.7% of teens aged 15–17 in the ATUS lived with someone other than their parents. A further limitation is that we do not know when the parent’s disability started. Teenagers’ time use may be affected differently if they lived their entire life with a disabled parent than if the disability occurred more recently in their lives.

A final limitation is that we use self-reported disability status, which could be measured with error. If this measurement error is random, then our estimates could be biased toward zero. Nevertheless, we find large negative effects of parental disability on girls’ educational time that is consistent with the prior literature, suggesting time use as one potential mechanism for the intergenerational transmission of educational outcomes.