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Law-abiders, lame ducks, and over-stayers: the Africa Executive Term Limits (AETL) dataset

Published online by Cambridge University Press:  01 January 2026

Andrea Cassani*
Affiliation:
Department of Social and Political Science, Università degli Studi di Milano, Via Conservatorio, 7, 20122 Milan, Italy
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Abstract

Besides elections, the sub-Saharan wave of political reforms of the 1990s led several countries to introduce limits to the number of terms that a chief executive can serve, even though several leaders managed to bypass them. While Africa’s executive term limits (ETLs) politics has gained scholarly attention, the literature mostly consists of in-depth small-N analyses. Systematic comparative research is rare. To contribute filling this gap, this article presents a new Africa Executive Term Limits (AETL) dataset. Covering 49 sub-Saharan polities throughout the 1990–2019 period, AETL represents the most complete and updated collection of data on Africa’s ETLs politics, and a versatile research tool to address several questions on the present and future of this continent. A preliminary assessment of the new data finds ETLs to be increasingly respected, and to have positive returns for government alternation and development. These findings point to new research avenues that AETL may help travel.

Information

Type
Dataset
Creative Commons
Creative Common License - CCCreative Common License - BY
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Copyright
Copyright © 2020 The Author(s)
Figure 0

Fig. 1 ETL introduction in sub-Saharan Africa.

Source: AETL. Notes: Each column records the number of countries that adopted ETL in the corresponding year
Figure 1

Fig. 2 African presidents’ ETL compliance rate.

Source: AETL. Notes: The solid and dashed lines measure the cumulative share of cases in which African presidents respected and challenged ETL, respectively
Figure 2

Fig. 3 ETL manipulation strategies and veto-players: success and failure.

Source: AETL. Notes: The upper panel reports the success rate of the different ETL manipulation strategies, to measure their effectiveness. In turn, the lower panel reports the failure rate of ETL manipulation attempts when different veto-players intervened, as a measure of their ability to stop an aspiring over-stayer
Figure 3

Table 1: ETL and electoral outcomes.

Source: AETL and Africa Leadership Change Dataset (Carbone and Pellegata 2020)
Figure 4

Fig. 4 ETL and economic growth.

Source: AETL and World Bank’s World Development Indicators. Notes: leaders elected in parliamentary systems are not considered, with the exception of Botswana and South Africa’s term-limited presidents
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