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The importance of gender equality is reflected not only in the Millennium Development Goals, but also in the World Bank's Gender Action Plan launched in 2007 as well as in other treaties and actions undertaken at regional and international levels. Unlike other work on gender and poverty, which is mostly based on monetary measurement, the present study makes use of a counting approach to examine gender issues in Burkina Faso and Togo using household surveys. Focusing on six dimensions (housing, basic utilities, assets, education, employment, and access to credit) largely recognized as Millennium Development Goal targets, the main findings of the study indicate that overall individuals are the most deprived in education in Burkina Faso, while the reverse situation is true in Togo. Gender inequality is observed in all dimensions since women always seem to be more deprived than men. The situation is also marked by regional disparities. Moreover, the assessment of dimensional contributions shows different patterns for each country. While employment proves to be the main contributor of gender inequality in Burkina Faso, three dimensions (assets, access to credit, and employment) account together for most of the total contribution to gender inequality in Togo. There is also a positive correlation between multidimensional deprivation and women's age in Burkina Faso, whereas both measures seem to be uncorrelated in Togo.

Access to credit --- Assets --- Basic utilities --- Deprivation rates --- Education --- Employment --- Gender and Development --- Gender and Law --- Gender inequality --- Housing --- Macroeconomics and Economic Growth --- Multidimensional poverty --- Population Policies --- Poverty Reduction --- Regional Economic Development --- Rural Poverty Reduction

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This paper examines spatial heterogeneity in the impacts of the early days of the COVID-19 pandemic on urban household incomes in Ethiopia and Kinshasa, Democratic Republic of Congo. Combining new panel household surveys with spatial data, the fixed-effects regression analysis for Ethiopia finds that households in large and densely populated towns were more likely to lose their labor incomes in the early phase of the pandemic, and their recovery was slower than other households. Disadvantaged groups, such as female, low-skilled, self-employed, and poor, particularly suffered in those towns. In Kinshasa, labor income-mobility elasticities are higher among workers-particularly female and/or low-skilled workers-who live in areas that are located farther from the city core area or highly dense and precarious neighborhoods. The between- and within-city evidence from two Sub-Saharan African countries points to the spatial heterogeneity of COVID-19 impacts, implying the critical role of mobility and accessibility in urban agglomerations.

Accessibility --- Connectivity --- Coronavirus --- COVID-19 --- Employment and Unemployment --- Labor Markets --- Labor Mobility --- Mobility --- Pandemic Impact --- Poverty --- Poverty Reduction --- Social Protections and Labor --- Urban Development --- Urban Economic Development --- Urban Labor Market

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This paper examines the labor market and jobs in urban Kinshasa, by drawing on a recently collected household survey and other data sets. It particularly focuses on labor supply and employment patterns, job characteristics, and their spatial nexus. The analysis first shows that female and young workers are more likely to experience unemployment and underemployment than other workers in Kinshasa. Second, the availability of good quality jobs is still limited in Kinshasa. Third, in addition to the scarcity of good jobs, which are concentrated in the city core, poor accessibility due to the limited connective infrastructure and transport system further reduces job opportunities for people living in the outskirts.

Accessibility --- Demographics --- Employment and Unemployment --- Jobs --- Labor Market --- Social Protections and Labor --- Spatial Analysis --- Unemployment --- Urban Poverty