Maternal Household Services and Children

10.5085/405.1 ◽  
2018 ◽  
Vol 27 (1) ◽  
pp. 1-15
Author(s):  
Charles L. Baum ◽  
James D. Rodgers
Keyword(s):  
Time Use ◽  
Household Production ◽  
Present Value ◽  
American Time Use Survey ◽  
Number Of Children ◽  
Helping Others ◽  
Time Use Survey ◽  
Wrongful Death ◽  
Death Cases

Abstract Forensic economists in wrongful death cases are often asked to calculate the present value of household services a decedent otherwise would have provided. In this paper, we calculate the amount of time mothers allocate to provide household services on average by the age of the youngest child and by the number of children using 2003-2013 American Time Use Survey (ATUS) data. We separately examine household production and time caring and helping others. Our results show that mothers with younger children and more children generally allocate more time for household services. However, while maternal caring and helping time decreases with the age of the youngest child, maternal household production increases with the age of the youngest child. In contrast to other published sources, the information we provide will allow economists to adjust for the number of children, and to better adjust for the age of the youngest household child, when calculating the present value of lost household production in wrongful death cases involving deceased mothers.

scholarly journals Sleep Duration and Waking Activities in Relation to the National Sleep Foundation’s Recommendations: An Analysis of US Population Sleep Patterns from 2015 to 2017

2021 ◽  
Vol 18 (11) ◽  
pp. 6154
Author(s):  
Michael Osei Mireku ◽  
Alina Rodriguez
Keyword(s):  
Sleep Duration ◽  
Time Use ◽  
Variance Estimation ◽  
Estimation Method ◽  
Short Sleep Duration ◽  
Weighted Estimates ◽  
American Time Use Survey ◽  
Increased Risk ◽  
The Us ◽  
Time Use Survey

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.

scholarly journals Which Jobs are Done from Home? Evidence from the American Time Use Survey

2020 ◽  
Author(s):  
Lena Hensvik ◽  
Thomas Le Barbanchon ◽  
Roland Rathelot
Keyword(s):  
Time Use ◽  
American Time Use Survey ◽  
Time Use Survey

scholarly journals Graphical Representation of Time Use Diaries in Stata: ATUS Tempograms

2020 ◽  
Author(s):  
Kamila Kolpashnikova
Keyword(s):  
Survey Data ◽  
Time Use ◽  
Graphical Representation ◽  
American Time Use Survey ◽  
The Us ◽  
Time Use Survey ◽  
Representation Of Time

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.

scholarly journals Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252843
Author(s):  
Kamila Kolpashnikova ◽  
Sarah Flood ◽  
Oriel Sullivan ◽  
Liana Sayer ◽  
Ekaterina Hertog ◽  
...  
Keyword(s):  
Time Use ◽  
Visualization Tool ◽  
Policy Makers ◽  
Online Tool ◽  
American Time Use Survey ◽  
Use Patterns ◽  
Accessibility Barriers ◽  
Academic Researchers ◽  
Time Use Survey ◽  
Daily Time

Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visualize their own subsamples of the American Time Use Survey Data Extractor (ATUS-X). Complementing the ATUS-X, the online tool provides an easy point-and-click interface, making data exploration readily accessible in a visual form. The tool can benefit a wider academic audience, policy-makers, non-academic researchers, and journalists by removing accessibility barriers to time use diaries.

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