Current Implications of Changes in Adult Learning Time by Life Cycle: Focus on Time-Use Survey from the Last 20 Years (1999-2019)

2021 ◽  
Vol 27 (4) ◽  
pp. 159-184
Author(s):  
Sun Yeon Son ◽  
Hee Su Lee
2013 ◽  
Vol 103 (3) ◽  
pp. 111-116 ◽  
Author(s):  
Mark Aguiar ◽  
Erik Hurst ◽  
Loukas Karabarbounis

Using time use survey data we document a hump-shaped profile of job search time in the United States across the life-cycle. The middle-aged unemployed spend roughly three times as much time in job search as the youngest group of unemployed. The hump-shaped profile of job search time is relatively stable across demographic groups. However, the profile of job search time appears to be declining in non-US countries. We discuss how standard life-cycle models with incomplete markets have difficulty in accounting for the hump-shaped profile found in the US data.


Author(s):  
Simona Jokubauskaitė ◽  
Alyssa Schneebaum

AbstractWe propose an improved method to assess the economic value of unpaid housework and childcare. Existing literature has typically assigned a minimum, generalist or specialist’s wage, or the performer’s opportunity cost to the hourly value of these activities. Then it was used to calculate macro-level value based on the number of hours spent in this work. In this paper, instead of imputing an average or minimum wage for housework and childcare to determine a value to the work, we use the actual local wage rate requested for these services from providers on online platforms. Applying this method to Austrian Time Use Survey data shows that the value of unpaid childcare and housework, had it been paid, would be equivalent to about 22% of the 2018 GDP.


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.


Field Methods ◽  
2008 ◽  
Vol 21 (1) ◽  
pp. 69-90 ◽  
Author(s):  
Erik Van Ingen ◽  
Ineke Stoop ◽  
Koen Breedveld

2016 ◽  
Vol 28 (1) ◽  
pp. 175-199 ◽  
Author(s):  
Jacopo Torriti ◽  
Isabel Santiago

Recent research and policy studies on the low-carbon future highlight the importance of flexible electricity demand. This might be problematic particularly for residential electricity demand, which is related to simultaneous consumers’ practices in the household. This paper analyses issues of simultaneity in residential electricity demand in Spain. It makes use of the 2011 Spanish Time Use Survey data with comparisons from the previous Spanish Time Use Survey and the Harmonised European Time Use Surveys. Findings show that media activities are associated with the highest levels of continuity and simultaneity, particularly in the early and late parts of the evening during weekdays.


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