DOI: 10.5281/zenodo.5101191
title: COVID-19's lockdown and time allocation in Russian households

description: The database contains the survey on <strong>the changes of gender time allocation during two waves of the coronavirus lockdown (self-isolative restrictions) in Russia</strong>. Self-isolation included shift to remote work and study, the closure of childcare facilities, restrictions of mobility, etc. Sample information The survey was conducted on Yandex.Survey platform. The first wave was conducted on 22-23<sup> th</sup> of May, 2020, after 2 months of the beginning of first lockdown. The second wave took place on 17-19<sup>th</sup> of November, 2020 after 1 month of the second lockdown’start. Data was collected via online service Yandex.Survey. The platform offers a service for conducting an online survey among 50 million users of the Yandex advertising network with the ability to make a random sample, including a sample by demographic, geographic and some socio-economic characteristics. The respondents were women of predominantly working/reproductive age (15-55) from Russia. 1411 women took part in the first wave and 1408 in the second. After cleaning data and removing outliers 2795 respondents left. The coincidence of the distributions with the general population in terms of the main parameters (age, size of the settlement, employment, household composition) is satisfactory. The observed (insignificant) deviations are as follows: the proportion of women aged 30-43, living in cities with a population over one million has increased; decreased - at the age of 50-54 years, living in settlements with a population of less than 100 thousand people working in agriculture. The female respondents were asked if they spend more or less time household chores and care, including: cleaning, cooking, laundry, shopping, management, child care, other care or nothing. If a woman marked, that she is living with a partner during the lockdown, she was also asked if her partner spends more or less time on each chore. The survey also includes questions concerning the occupation type (work, work and study, study, child care leave, doesn’t work), if a woman works (or works and studies), how the lockdown effected on her job: shift to remote work, fired, paid leave, unpaid leave, no income on restrictions, continues in-person work, and if a woman lives with a partner the same question was asked considering his work on the lockdown. Further, occupational features were divided into three: income (or husband’s income) means that a woman (or her partner) has her income on the lockdown which includes remote work, in person work, paid leave; gotowork means a woman (in her partner’s case – husb_gotowork) continues in person work; and distant if a woman is working online (husb_distant for her partner). Further, we asked whether a woman has an experience of remote work: no, and it is impossible, no, but it is possible, yes. We also asked about the size and type of her employer (small, medium, large firm or state firm). The next set of questions considers who a woman is living with on self isolation: alone, children, partner, parents, parents-in-law, others. At last, we asked respondents age, number of children and the age of the youngest child (if the number of children &gt;0). The database’ structure <strong><em>Survey's wave variables</em></strong> <strong><em>Social and demographic variables</em></strong> age of female respondent size of the city number of children the age of the youngest child age at last birth woman lives with her husband woman lives with children woman lives with children over 18 years old woman lives with her parents woman lives with her husband's parents woman lives alone woman lives with someone else type of activity how the lockdown effected female occupation field of employment type of enterprise where woman works (or does not) there is wife's income in household how the lockdown effected her husband's occupation there is husband's income in household woman's work experience at a remote location woman has remote work in the period of lockdown her husband has remote work in the period of lockdown her husband has out of home work in the period of lockdown woman has out of home work in the period of lockdown her husband is fired or doesn't have income temporarily because of the lockdown her husband was fired because of the lockdown <strong><em>Time use variables: the changes in lockdown</em></strong> <strong><em>WOMAN MORE</em></strong> childcare care cleaning cooking laundry shopping management nothing <strong><em>WOMAN LESS</em></strong> childcare care cleaning cooking laundry shopping management nothing <strong><em>HER HUSBAND MORE</em></strong> childcare care cleaning cooking laundry shopping management nothing <strong><em>HER HUSBAND LESS</em></strong> childcare care cleaning cooking laundry shopping management nothing <strong><em>TOGETHER MORE</em></strong> childcare care cleaning cooking laundry shopping management nothing <strong><em>TOGETHER LESS</em></strong> childcare care cleaning cooking laundry shopping management nothing <strong><em>INSTEAD MORE</em></strong> childcare care cleaning cooking laundry shopping management nothing <strong><em>INSTEAD LESS</em></strong> childcare care cleaning cooking laundry shopping management nothing There are English and Russian versions of variables’ description. During exploratory data analysis we introduced features instead or together. These new features are restricted to answers of women who live with partners. Whether a woman marks that she spends less(more) time on the chore and her husband spends more(less) time on that exact type of chore, that means he does it instead of his wife. Whether both a woman and her partner spend more (less) time one the chore, it means they do it together. The variable “type of enterprise” was built on the criteria of credibility and stability during the corona-crisis from a small to a state firm (small, medium, large, state firm). Small and medium enterprises were hit the most by the pandemic (http://doklad.ombudsmanbiz.ru/2020/7.pdf), whether large and especially state firms had more resources to maintain employment and payments.
description: Funding acknowledgements We are grateful to the Public Joint-Stock Commercial Bank "DERZHAVA" for the opportunity to conduct two survey waves on the Yandex.Survey platform.