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This article inspects the relationship between fertility and employment, providing an explanatory mixed-method analysis to gauge their nexus for rural and urban Albania over the 2000s. We instrument reproductive decisions with having two first-born daughters in a 2SLS model of employment. We show that having an additional child negatively influences employment probability for rural mothers, but not for women in urban areas. Heterogeneous analyses show that rural women who lack education or wealth are more dependent on their fertility decisions, whilst there are no relevant differences by occupation types. We further show that the fertility effect is reinforced by the characteristics of the rural household, such as the presence of seniors in the household or if the partner is working. We then examine qualitatively how structural and contextual settings influence women in their decisions. We inspect the experience of rural women and employers from three distinct rural municipalities. Interviews reveal several obstacles that create a gap between employer and employee expectations, resulting in females refusing job offers. The qualitative findings suggest that targeted policies on transport, childcare, and employment services are essential aspects of policy-making to favour rural and distant women's integration. [ABSTRACT FROM AUTHOR]

Platform labour, especially when it comes to its flexible schedules, may represent a job insertion possibility and a source of income for many women. However, such opportunities are not exempted from gender bias. This article inspects how the expansion of the platform economy affects gender inequalities by focusing on two platform occupations: ride-hailing and delivery services. First, it investigates gender gaps in terms of working hours and earnings via linear regression as well as their determinants. Second, qualitative data further deepen the analysis of female riders' and drivers' experience in male-dominated territories, exploring how it is perceived and endured by workers. This paper is based on qualitative and quantitative data collected in the metropolitan area of Buenos Aires between 2019 and 2021. The analysis suggests that the gender-differentiated economic performance of riders and drivers is associated with demographic and on-the-job characteristics, implying restrictions for women workers in terms of how long, where, and when they can work. Algorithmic management further reinforces these initial female disadvantages, through tools such as scoring systems, dynamic pricing, and selective work allocation. The article concludes by providing some insights into a gender-transformative approach to the future regulation of these activities. [ABSTRACT FROM AUTHOR]

This study investigates the relationship between borrowing and internal migration. Exploiting the micro-finance scheme Village Fund in Thailand, it investigates the short- and medium-term effects of borrowing since the policy's introduction. Employing an instrumental variables approach, borrowing is instrumented using the inverse number of households per village at the beginning of the policy to capture potential credit availability. The findings suggest that internal migration in Thailand is not credit constrained and its interaction with credit is time-related. Borrowing reduces internal migration in the medium-term, but is found not to affect migration when the policy is first introduced. [ABSTRACT FROM AUTHOR]