provides economic analysis and policy advice with the aim of promoting sustainable and equitable development. The Institute began operations in 1985 in Helsinki, Finland, as the first research and training centre of the United Nations University. Today it is a unique blend of think tank, research institute, and UN agency-providing a range of services from policy advice to governments as well as freely available original research. The Institute is funded through income from an endowment fund with additional contributions to its work programme from Finland, Sweden, and the United Kingdom as well as earmarked contributions for specific projects from a variety of donors.

This article estimates the distribution of personal wealth in South Africa by combining microdata covering the universe of income tax returns, household surveys, and macroeconomic balance sheet statistics. South Africa is characterized by unparalleled levels of wealth concentration. The top 10 percent own 86 percent of aggregate wealth and the top 0.1 percent close to one-third. The top 0.01 percent of the distribution (3,500 individuals) concentrate 15 percent of household net worth, more than the bottom 90 percent as a whole. Such levels of inequality can be accounted for in all forms of assets at the top end, including housing, pension funds, and financial assets. There has been no sign of decreasing inequality since the end of apartheid.

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As they increasingly adopt digital infrastructure, public administrations worldwide are increasingly collecting, generating and managing data. Empirical researchers are, at the same time, collaborating more and more with administrations, accessing vast amounts of data, and setting new research agendas. These collaborations have taken place in low-income countries in particular, where administrative data can be a valuable substitute for scarce survey data. However, the transition to a full-fledged digital administration can be a long and difficult process, sharply contrasting the common leap-frog narrative. Based on observations made during a five-year research collaboration with the Senegalese tax administration, this qualitative case study discusses the main data management challenges the tax administration faces. Much progress has recently been made with the modernisation of the administration’s digital capacity ,and adoption of e-filling and e-payment systems. However, there remains substantial scope for the administration to enhance data management and improve its efficiency in performing basic tasks, such as the identification of active taxpayers or the detection of various forms of non-compliance. In particular, there needs to be sustained investment in human resources specifically trained in data analysis. Recently progress has been made through creating – in collaboration with the researchers – a ‘datalab’ that now works to improve processes to collect, clean, merge and use data to improve revenue mobilisation.