Bob Rijkers – författare

Improving the returns to labour for low-paid workers is a key policy challenge, especially in low-income countries (LICs) where earnings increases are the single most important source of poverty reduction and an important engine of shared prosperity. Yet, the understanding of individual earnings dynamics remains limited. The small - but growing - body of empirical literature on the factors leading to larger and faster pay increases points to strong persistence in earnings over time. However, it remains unclear to what extent this is due to differences in individual endowments rather than to the fact that being in low-paying jobs itself undermines future earnings prospects, and to what extent determinants of earnings vary across types of activities and sectors. The knowledge gap is particularly large for LICs due to the limited availability of reliable panel data.This study uses unusually rich longitudinal data from Ghana and Tanzania to identify engines of, and barriers to, earnings and earnings mobility. It examines the relative role of individual endowments–such as gender, age, and skills–and characteristics of the job, but also focuses on the role of job switches–for example, moves into and out of self-employment. The analysis also zooms in on the drivers of transitions between low-paying and high-paying jobs and addresses questions such as whether being low paid is a transitory or permanent phenomenon, and whether it has a scarring effect on an individual's employment prospects. The extent to which earnings dynamics differ for women and young adults is also discussed in detail. Tanzania and Ghana provide a particularly relevant context in which to examine these issues and the cross-country comparison helps shed light on the institutional factors that promote labor market mobility and entrepreneurship.The audience for this report is broad: it is an important read for policy makers, academics, and development practitioners interested in reducing poverty and promoting shared prosperity in Ghana and Tanzania. However, its relevance spans well beyond the two countries analysed to include all developing countries where self-employment in small-scale activities accounts for a very large proportion of all employment.

This volume examines the relationship between trade liberalization policies and income inequality in developing countries. Using survey data for 54 developing countries, the book explores the potential trade-off between the gains from trade and the distribution of those gains and provides a quantification of the inequality-adjusted welfare gains from trade. The book begins with an introduction to the model and its methodology. Chapter 2 sets up the model and derives the formulas for the welfare effects of trade policy. Chapter 3 uses the tariff data and the survey data to estimate those welfare effects in 54 countries. Chapter 4 discusses the gains from trade and their distribution. Chapter 5 evaluates and quantifies the trade-off between income gains and inequality costs of trade. Chapter 6 presents robustness tests and results from alternative models of the impacts of trade. The last chapter reviews the Household Impacts of Trade database and dashboard, which provides datafor replication and a platform that allows researchers to simulate agricultural tariff policy shocks. Providing a comprehensive empirical analysis of the effects of trade policy on inequality in developing countries, this volume will be of interest to researchers and students of economic inequality, development, and international trade as well as policymakers interested in the inequality and poverty consequences of trade policy.