Unpaid Care Work Time and Women’s Employment Status: Evidence from India

Saumya Tripathi, Fuhua Zhai, Sameena Azhar
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Abstract

Using the first Indian 2019 Time Use Survey, we investigate the association between women’s time spent on unpaid care work (UCW) and their employment status and whether this association differs by socio-demographic characteristics such as age, marital status, education level and household size, controlling for religion, social group status, household monthly expenditure and geographical location (e.g. rural versus urban settings). Using multinomial logistic regression, an inverse association was found between women’s UCW and their employment status. An hour increase in women’s time spent on UCW decreased their odds of employment, self-employment or pursuing higher education by 38 per cent, 27 per cent and 34 per cent, respectively. According to a decomposition analysis, almost 80 per cent of the odds ratios for employment status were due to increased time spent on UCW rather than the influence of socio-demographic characteristics. Findings underscore the need for integrating care provisions into the broader social and economic agenda for the country.
无偿护理工作时间与妇女的就业状况:印度的证据
利用印度 2019 年首次时间利用调查,我们研究了妇女花在无酬照护工作(UCW)上的时间与她们的就业状况之间的关联,以及这种关联是否因年龄、婚姻状况、教育水平和家庭规模等社会人口特征而有所不同,同时控制了宗教、社会群体地位、家庭月支出和地理位置(如农村与城市环境)。利用多项式逻辑回归法发现,妇女的统包工作时间与她们的就业状况之间存在反比关系。妇女用于统包工作的时间每增加一小时,其就业、自营职业或接受高等教育的几率就会分别降低 38%、27% 和 34%。根据分解分析,在就业状况的几率比例中,近 80% 是由于在统包工作上花费的时间增加,而不是社会人口特征的影响。研究结果突出表明,有必要将护理规定纳入国家更广泛的社会和经济议程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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