Engaging in paid work is generally difficult for women in developing countries. Many women work unpaid in family businesses or on farms, are engaged in low-income self-employment activities, or work in low-paid wage employment. In some countries, vocational training or grants for starting a...

We employ georeferenced data and longitudinal household panel survey data to investigate the impact of the dramatic flooding that hit Bangladesh from August-September 2014 on women's employment and empowerment. Development economics models suggest an increase in household members' labour supply...

In low- and middle-income countries, differences between men and women in their time use patterns represent a major source of gender inequality. Among other factors, natural shocks can contribute to the widening of these differences. This paper examines the impact of the 2017 flood in Bangladesh...

This paper aims to study the relationship between women's land ownership and household food security in Tanzania, using data from three waves of the Tanzanian National Panel Survey. The analysis focuses on the Household Dietary Diversity Scale (HDDS) as a measure of food security, and we...

In low- and middle-income countries, differences between men and women in their time use patterns represent a major source of gender inequality. Among other factors, natural shocks can contribute to the widening of these differences. This paper examines the impact of the 2017 flood in Bangladesh...

Purpose – This purpose of this paper is to introduce the special issue on vulnerability and discrimination among women, children and ethnic minorities. Design/methodology/approach – The paper discusses the articles in the special issue which employ a variety of individual-level data, some of...

Purpose – This purpose of this paper is to introduce the special issue on vulnerability and discrimination among women, children and ethnic minorities. Design/methodology/approach – The paper discusses the articles in the special issue which employ a variety of individual‐level data, some...