A key policy problem in most developing countries is the size of the informal sector and its persistence over time. In need to increase their tax revenues, policy makers face a trade-off between decreasing tax rates (making formalizing potentially more attractive) and alternatively raising tax...

This textbook is an introduction to the newer features of growth theory that are particularly useful in examining the issues of economic development. Growth theory provides a rich and versatile analytical framework through which fundamental questions about economic development can be examined....

Theoretical Foundations: A General Equilibrium Approach -- The Harris-Todaro Migration Model and Introduction of the Informal Sector -- Informal Sector and Open Unemployment -- Foreign Capital Inflow, Informal Sector and Welfare -- How and How Far to Liberalise a Developing Economy -- Economic...

The COVID-19 pandemic has escalated processes of labour transition from industrial work to the informal economy, which have always characterized the life of the working poor. Exploring urban-to-rural labour transitions through a feminist political economy lens and adopting a life-cycle approach...

This paper seeks to identify the differentiated impacts of the crisis on specific groups of informal workers. The analysis draws on official nationally representative labour force surveys collected quarterly by South Africa's national statistical agency (Statistics South Africa). Based on an...

Using a special module of the 2015 Mexican Labour Force Survey with information on workers' preferences for jobs with social security coverage, I estimate that 80 per cent of informal workers in large urban areas would prefer to work in a job that provides them with such coverage. A discrete...

Inequality in South Africa is the enduring legacy of racial discrimination. We use a dynamic perspective to show the linkages between persistent effects of discrimination in the labour market and the efficacy of redistributive fiscal policy in reducing inequality. We present a machine-learning...