How Money Matters

2011 ◽  
Vol 32 (11) ◽  
pp. 1449-1473 ◽  
Author(s):  
Margaret L. Usdansky ◽  
Wendy M. Parker

Using new data from the American Time Use Survey (ATUS), the authors consider how educational and parental status influence the relationship between wives’ relative earnings and the time they devote to housework in a climate of heightened gender egalitarianism and growing similarity between women’s and men’s time use. The authors capitalize on the large samples in the American Time Use Survey to study four groups of wives whose varying educational and parental statuses strengthen tests of theoretical claims regarding bargaining, gender display, and wives’ autonomy. Among wives with children at home and without a college degree, the authors find that relative earnings bear a curvilinear relationship to housework time, supporting predictions derived from exchange and gender display theories. Among wives with children and a college degree, and among wives without children regardless of degree status, relative earnings are unrelated to housework. In contrast, wives’ own earnings are inversely related to housework time across all four groups. The authors’ analyses suggest that educational and parental contexts jointly shape the relationship between wives’ earnings and their housework and the relative importance of bargaining, gender display, and autonomy.

2021 ◽  
pp. 0192513X2110317
Author(s):  
Shih-Yi Chao

Heterosexual unions and parenthood are key contributors to gender inequality in housework. Over the last two decades, the social meaning of partnership and parenthood has changed. This study investigated whether this change in the narrative of partnership and parenthood status influenced changes in the housework gender gap. Using the American Time Use Survey 2003–2005 and 2013–2015, the findings show that housework gender gap was larger for people in a couple relationship than for singles. For nonparents, the gender gap in housework was no difference between those married and those cohabiting. Gender inequality in housework persisted among married parents but decreased among cohabiting parents, mainly because of the increase in cohabiting fathers’ housework time. These findings suggest a heterosexual union, particularly marriage, reproduces conventional gender roles. Men’s gendered behaviors were not uniform but diverse across partnership and parenthood status.


2021 ◽  
pp. 1097184X2110149
Author(s):  
Daniel L. Carlson ◽  
Richard J. Petts ◽  
Joanna R. Pepin

Prior studies that show no association between fathers’ work flexibility and their domestic contributions suffer from measurement limitations and/or the lack of nationally representative data. Using data on fathers in different-sex partnerships (n = 1,956) from the 2017–2018 American Time Use Survey Leave Module, we examine three indicators (use, frequency of use and reason for use) of working from home—a work–family benefit is known as flexplace—and consider whether partners’ employment status moderates the association between flexplace and fathers’ time in domestic labor. Fathers who use flexplace benefits report more routine childcare, regardless of the reason for flexplace use or their partners’ employment status. The association between flexplace use and fathers’ housework time is conditional on their partners’ employment status and fathers’ rationale for working from home.


Author(s):  
Michael Osei Mireku ◽  
Alina Rodriguez

The objective was to investigate the association between time spent on waking activities and nonaligned sleep duration in a representative sample of the US population. We analysed time use data from the American Time Use Survey (ATUS), 2015–2017 (N = 31,621). National Sleep Foundation (NSF) age-specific sleep recommendations were used to define recommended (aligned) sleep duration. The balanced, repeated, replicate variance estimation method was applied to the ATUS data to calculate weighted estimates. Less than half of the US population had a sleep duration that mapped onto the NSF recommendations, and alignment was higher on weekdays (45%) than at weekends (33%). The proportion sleeping longer than the recommended duration was higher than those sleeping shorter on both weekdays and weekends (p < 0.001). Time spent on work, personal care, socialising, travel, TV watching, education, and total screen time was associated with nonalignment to the sleep recommendations. In comparison to the appropriate recommended sleep group, those with a too-short sleep duration spent more time on work, travel, socialising, relaxing, and leisure. By contrast, those who slept too long spent relatively less time on each of these activities. The findings indicate that sleep duration among the US population does not map onto the NSF sleep recommendations, mostly because of a higher proportion of long sleepers compared to short sleepers. More time spent on work, travel, and socialising and relaxing activities is strongly associated with an increased risk of nonalignment to NSF sleep duration recommendations.


2012 ◽  
Vol 34 (3) ◽  
pp. 394-427 ◽  
Author(s):  
Vanessa R. Wight ◽  
Suzanne M. Bianchi ◽  
Bijou R. Hunt

Using a national sample of 12,424 partnered women and 10,721 partnered men from the 2003-2006 American Time Use Survey, this article examines racial/ethnic variation in women’s and men’s housework time and its covariates. The ratio of women’s to men’s housework hours is greatest for Hispanics and Asians and smallest for Whites and Blacks. White and Hispanic women’s housework hours are associated with household composition and employment suggesting that the time availability perspective is a good predictor for these women, but may have less explanatory power for other race/ethnic groups of women. Relative resources also have explanatory power for White women’s housework time but are weak predictors for women of Other race/ethnicities. Time availability and relative resource measures show some association with White men’s housework time but are generally poor predictors among other race/ethnic groups of men, suggesting that traditional models of housework allocation do not “fit” all groups equally.


2020 ◽  
Author(s):  
Lena Hensvik ◽  
Thomas Le Barbanchon ◽  
Roland Rathelot

2020 ◽  
Author(s):  
Kamila Kolpashnikova

In this paper, I will demonstrate how to create tempograms using the original American Time Use Survey data from the US Bureau of Labor Statistics2. For this project, the 2003-2018sample of diaries is used (file names: atusact0318 and atussum0318).Additionally, I identify the bottleneck, where the performance of Stata’s underlying functions could be optimised to improve the work with time-use data for researchers who use Stata.


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