Abstract
ABSTRACT This paper integrates a unique dimension of gender in the analysis of economic vulnerability in urban contexts by focusing on women aged 50 and older. We use a probit model to predict the likelihood of vulnerability with a zero-one dummy dependent variable, and four categories of socioeconomic characteristics as predictors: educational attainment, labour market participation, individual demographics, and household characteristics. Using a pooled cross-section of data from the American Community Survey (2013–2017 5-Year estimates), we explore the transmission channel of vulnerability across the four largest cities in the US. The results show, through average marginal effects, a strong association between economic vulnerability and key socioeconomic indicators. The findings support the view that gender differences in labour market participation remain key in explaining disparities. Our two policy prescriptions focus on a more targeted approach in implementing retirement policy changes and loosening the link between labour supply and income.
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