Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte.Abstract: Redistributive systems in Africa are still in their infancy but are constantly expanding in order to finance increasing public spending. This paper aims at characterizing the redistributive potential of six African countries: Ghana, Zambia, Mozambique, Tanzania, Ethiopia, and South Africa. These countries show contrasted situations in terms of income distribution. We assess the role of tax-benefit systems to explain these differences. Using newly developed tax-benefit microsimulations for all six countries, we produce counterfactual simulations whereby the system of the most (least) redistributive country is applied to the population of all other countries. In this way, we can decompose the total country difference in income distribution between the contribution of tax-benefit policies versus the contribution of other factors (market income distributions, demographics, etc.). This analysis contributes to the recent literature on the redistributive role of socio-fiscal policies in developing countries and highlights the role of microsimulation techniques to characterize how different African countries can learn from each other to improve social protection and reduce inequality. The results presented here are based on newly developed microsimulation models developed, maintained and managed by UNU-WIDER in collaboration with the EUROMOD team at ISER (University of Essex), SASPRI (Southern African Social Policy Research Institute) and local partners in selected developing countries (Ethiopia, Ghana, Mozambique, Tanzania, Zambia). We are indebted to the many people who have contributed to the development of SOUTHMOD and the different microsimulation models. We are grateful to Katrin Gasior, Chrysa Leventi, Michael Noble, Gemma Wright and Helen Barnes for sharing their harmonized version of SOUTHMOD models. We also thank Pia Rattenhuber and participants of the SOUTHMOD workshop in Helsinki for useful comments on previous versions of the paper. The results and their interpretation presented in this publication are solely the authors' responsibility.