Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/251337 
Year of Publication: 
2021
Series/Report no.: 
University of Göttingen Working Paper in Economics No. 435
Publisher: 
University of Göttingen, Center for European, Governance and Economic Development Research (cege), Göttingen
Abstract: 
Empirical research on poverty today often goes beyond a focus on income to consider other dimensions of well-being. However, relatively few multidimensional poverty measures explicitly consider time, despite its particular relevance to women's double burden of paid and unpaid work. We construct a bivariate relative poverty line between income and leisure, based on their joint distribution in the population. Because the strength of the dependence between income and leisure influences the vulnerability to poverty, we incorporate distributional regression into copula models. Utilizing the 2018 Mexican National Survey of Households, Income and Expenses, we investigate differences in bidimensional poverty with respect to gender and ethnicity. We find that the fraction defined as bidimensional poor is 18 percentage points higher than the poverty rate computed from separate time and income measures. Those below the relative but above the absolute poverty line are primarily non-indigenous women whose poverty is made visible by our approach.
Subjects: 
bivariate relative poverty line
bivariate distributional copulamodel
income distribution
leisure time distribution
Mexican National Survey of Households
intersectionality
JEL: 
D31
I32
J22
Document Type: 
Working Paper

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