Analyzing Travel Time Budgets Using the Korean Time Use Survey Data

2018 ◽  
Vol 25 (3) ◽  
pp. 15-24
Author(s):  
Justin Sueun Chang
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.


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.


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.


2019 ◽  
Vol 202 ◽  
pp. 109355 ◽  
Author(s):  
Kyriaki Foteinaki ◽  
Rongling Li ◽  
Carsten Rode ◽  
Rune Korsholm Andersen

2021 ◽  
Vol 252 ◽  
pp. 111440
Author(s):  
Bongchan Jeong ◽  
Jungsoo Kim ◽  
Richard de Dear
Keyword(s):  
Time Use ◽  

2018 ◽  
Vol 177 ◽  
pp. 329-340 ◽  
Author(s):  
Verena M. Barthelmes ◽  
Rongling Li ◽  
Rune K. Andersen ◽  
William Bahnfleth ◽  
Stefano P. Corgnati ◽  
...  

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