Sen, Ruchira (2024) Gender dimensions of paid and unpaid labour of Asian and Mexican immigrants in the USA, 2003–2018. In: Development, Transformations and the Human Condition. Routledge, pp. 230-244. ISBN 9781003528425
Full text not available from this repository. (Request a copy)Abstract
A common thread of statistical invisibility runs through the interactions of gender and migration. Gender roles confine women to unpaid or low-paid work that tends to be ‘invisible’ to theory and policy. Migration and its associated problems of assimilation create a workforce that policymakers ignore. Gendered migration also presents macroeconomic implications. Jayati Ghosh (2018) shows that sending countries with a higher percentage of women out-migrants have more stable remittance inflows. This chapter examines Ghosh’s hypothesis that female migrants are typically employed in less recession-prone jobs through the experience of immigrants in the USA. Based on Current Population Survey and American Time Use Survey data, this chapter examines the time use of Asian and Mexican immigrants – the largest proportion of US immigrants – in paid and unpaid work. Findings indicate that while time spent in paid work for immigrant women is more stable, it is gradually declining in the long term since the recession of 2008. This decline in paid work is accompanied by a gradual increase in unpaid work. Thereby, while the work of immigrant women is more resistant to market forces, there is a growing confinement of immigrant women to unpaid housework and care following the 2008 crisis.
Item Type: | Book Section |
---|---|
Subjects: | Social Sciences and humanities > Social Sciences > Gender Studies Social Sciences and humanities > Social Sciences > Social Sciences (General) |
JGU School/Centre: | Jindal School of Journalism & Communication |
Depositing User: | Dharmveer Modi |
Date Deposited: | 26 Feb 2025 14:44 |
Last Modified: | 26 Feb 2025 14:44 |
Official URL: | https://doi.org/10.4324/9781003528425-18 |
URI: | https://pure.jgu.edu.in/id/eprint/9174 |
Downloads
Downloads per month over past year