Determinants of uncertainty risk in sub-Saharan Africa
DOI:
https://doi.org/10.18559/rielf.2025.1.2244Keywords:
uncertainty, Sub-Saharan Africa, corruption, political stabilityAbstract
Purpose: This article examines the factors contributing to the risk of uncertainty in 26 sub-Saharan African countries.
Design/methodology/approach: We use a dichotomous probit model estimated by the maximum likelihood technique for panel data over the period from 2003 to 2020.
Findings: The results show that coups d'état, Covid-19, repressive measures, anti-system movements, regime corruption, country openness and political exclusion increase the risk of uncertainty. On the other hand, political stability, absence of violence and military spending reduce the risk of uncertainty. Large countries are less exposed to risk than small ones. Countries in Southern and East Africa are more exposed to risk than those in West Africa. The study also reveals a strong spatial correlation of uncertainty risk between countries in the sub-region. Authorities need to take steps to reduce uncertainty factors in order to avoid repetition.
Originality: The originality of this article lies in its ability to address a highly relevant issue in light of the increasing frequency of uncertainty crises in sub-Saharan Africa. By highlighting the specific determinants of this risk in a context marked by heightened political instability, global health crises, and institutional tensions, it makes a significant contribution to understanding and mitigating uncertainty risks in sub-Saharan Africa.
JEL Classification
Crisis Management (H12)
Macroeconomic Analyses of Economic Development (O11)
Public Economics (P35)
Regional Economic Activity: Growth, Development, Environmental Issues, and Changes (R11)
Downloads
References
Abdelmalki, L., Gbakou, M. B. P., Jallab, M. S., & Sandretto, R. (2012). La stabilité macroéconomique conditionne-t-elle l’impact des IDE sur la croissance économique et l’émergence ? Une étude empirique sur des pays d’Afrique, d’Amérique latine, des Caraïbes et d’Asie. Mondes en Développement, (2), 101–114.
View in Google Scholar
Acemoglu, D., & Robinson, J. (2012). Institutions, political economy and growth. Nobel Prize 2012 presentations. MIT.
View in Google Scholar
Ahir, H., Bloom, N., & Furceri, D. (2022). The world uncertainty index. Working Paper, w29763.
View in Google Scholar
Alejo, J., Galvao, A., Montes-Rojas, G., & Sosa-Escudero, W. (2015). Tests for normality in linear panel-data models. The Stata Journal, 15(3), 822–832.
View in Google Scholar
Amemiya, T. (1981). Qualitative response models: A survey. Journal of Economic Litterature, 19(4), 481–536.
View in Google Scholar
Arsić, M., Mladenović, Z., & Nojković, A. (2021). Debt uncertainty and economic growth in emerging European economies: Some empirical evidence. Emerging Markets Finance and Trade, 57(12), 3565–3585.
View in Google Scholar
Azam, J. P., Berthélemy, J. C., & Calipel, S. (1996). Risque politique et croissance en Afrique. Revue Économique, 47(3), 819–829.
View in Google Scholar
Azeng, T. F., & Thierry, U. G. (2015). Youth unemployment, education and political instability: Evidence from selected developing countries 1991–2009. Households in Conflict Network Working Paper, 200.
View in Google Scholar
Bah, M. D. (2015). The military and politics in Guinea: An instrumental explanation of political stability. Armed Forces & Society, 41(1), 69–95.
View in Google Scholar
Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. Quarterly Journal of Economics, 131(4), 1593–1636.
View in Google Scholar
Barka, H. B., & Ncube, M. (2012). Political fragility in Africa: Are military coups d’état a never-ending phenomenon? African Development Bank. https://www.academia.edu/73869286/Political_Fragility_in_Africa_Are_Military_Coups_d_Etat_a_Never_Ending_Phenomenon_
View in Google Scholar
Ben-Haim, Y. (2001). Information-gap theory: Decisions under severe uncertainty. Academic Press.
View in Google Scholar
Berkson, J. (1944). Application of the logistic function to bio-assay. Journal of the American Statistical Association, 39(227), 357–365.
View in Google Scholar
Berkson, J. (1951). Why I prefer logits to probits. Biometrics, 7(4), 327–339.
View in Google Scholar
Bernoulli, D. (1954). Exposition of a new theory on the measurement. Econometrica, 22(1), 23–36.
View in Google Scholar
Bliss, C. I. (1935). The calculation of the dosage‐mortality curve. Annals of Applied Biology, 22(1), 134–167.
View in Google Scholar
Bradley, R., & Drechsler, M. (2014). Types of uncertainty. Erkenntnis, 79(6), 1225–1248.
View in Google Scholar
Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294.
View in Google Scholar
Bussiere, M., & Mulder, C. (2000). Political instability and economic vulnerability. International Journal of Finance & Economics, 5(4), 309–330.
View in Google Scholar
Calvo, G. A., & Drazen, A. (1998). Uncertain duration of reform: Dynamic implications. Macroeconomic Dynamics, 2(4), 443–455.
View in Google Scholar
Camerer, C. F., Loewenstein, G., & Rabin, M. (Eds.). (2004). Advances in behavioral economics. Princeton University Press.
View in Google Scholar
Cochrane, J. (2011). Understanding policy in the Great Recession: Some unpleasant fiscal arithmetic. European Economic Review, 55(1), 2–30.
View in Google Scholar
Collier, P. (2009). Wars, guns, and votes: Democracy in dangerous places. Harper.
View in Google Scholar
Collier, P., & Hoeffler, A. (2004). Aid, policy and growth in post-conflict societies. European Economic Review, 48(5), 1125–1145.
View in Google Scholar
Darby, J., Li, C. W., & Muscatelli, V. A. (2004). Political uncertainty, public expenditure and growth. European Journal of Political Economy, 20(1), 153–179.
View in Google Scholar
Davidson, L. (1999). Uncertainty in economics. In: L. Davidson (Ed.), Uncertainty, international money, employment and theory, vol. 3: The collected writings of Paul Davidson (pp. 30–37). Palgrave Macmillan.
View in Google Scholar
Devereux, M. B., & Wen, J. F. (1996). Political uncertainty, capital taxation, and growth. Working Paper, University of British Columbia.
View in Google Scholar
Dow, S. (2012). Foundations for new economic thinking: A collection of essays. Springer.
View in Google Scholar
Duguet, E. (2008). Econométrie des variables qualitatives. Document de travail.
View in Google Scholar
Eaton, J., Gersovitz, M., & Stiglitz, J. E. (1986). The pure theory of country risk. European Economic Review, 30(3), 481–513.
View in Google Scholar
Eberly, J. (2021). Uncertainty, financial frictions, and investment dynamics. Journal of Economic Perspectives, 35(3), 123–147.
View in Google Scholar
Ellis, J., Smith, J., & White, R. (2020). Corruption and corporate innovation. Journal of Financial and Quantitative Analysis, 55, 2124–2149.
View in Google Scholar
Farrell, M. J. (1954). The demand for motor-cars in the United States. Journal of the Royal Statistical Society: Series A (General), 117(2), 171–193. https://academic.oup.com/jrsssa/article/117/2/171/7101473
View in Google Scholar
Fosu, A. K. (1992). Political instability and economic growth: Evidence from sub-Saharan Africa. Economic Development and Structural Change, 40, 829–842.
View in Google Scholar
Fotopoulos, T. (2001). The end of traditional anti-systemic movements and the need for a new type of anti-systemic movement today. Democracy & Nature, 7(3), 415–455.
View in Google Scholar
Gaddum, J. H. (1933). Reports on biological standards. III. Methods of biological assay depending on a quantal response. Special Report Series, 183. Medical Research Council.
View in Google Scholar
Gilboa, I., Postlewaite, A. W., & Schmeidler, D. (2008). Probability and uncertainty in economic modeling. Journal of Economic Perspectives, 22(3), 173–188.
View in Google Scholar
Hamilton, J. D. (2018). Why you should never use the Hodrick-Prescott filter. Review of Economics and Statistics, 100(5), 831–843.
View in Google Scholar
Hastie, T., Tibshirani, R., & Friedman, J. (2015). The elements of statistical learning: Data mining, inference, and prediction (2nd ed.). Springer.
View in Google Scholar
He, Y., Wang, H., & Hong, H. (2015). Uncertainty quantification: Theory, implementation, and applications. Springer.
View in Google Scholar
Heckman, J. J. (1976). The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models. Annals of Economic and Social Measurement, 5(4), 475–492. https://www.nber.org/system/files/chapters/c10491/c10491.pdf
View in Google Scholar
Hoeffler, A. (2012). On the causes of Civil War. Oxford Economic Papers, 64(4), 563–595.
View in Google Scholar
Hopkin, J., & Blyth, M. (2020). Global Trumpism: Understanding anti-system politics in western democracies. In B. Vormann & M. D. Weinman (Eds.), The emergence of illiberalism : Understanding a global phenomenon (pp. 101–123). Routledge.
View in Google Scholar
Hoque, M. E., & Zaidi, M. A. S. (2020). Global and country-specific geopolitical risk uncertainty and stock return of fragile emerging economies. Borsa Istanbul Review, 20(3), 197–213.
View in Google Scholar
HRW (Human Rights Watch). (2021). Uganda: Election crackdown – violence, killings, and Internet shutdown. HRW Reports.
View in Google Scholar
Huang, Q., & Yuan, T. (2021). Does political corruption impede firm innovation? Evidence from the United States. Journal of Financial and Quantitative Analysis, 56(1), 213–248.
View in Google Scholar
Hugon, P. (2003). Les conflits armés en Afrique: Apports, mythes et limites de l’analyse économique. Revue Tiers Monde, 176, 829–855.
View in Google Scholar
Humphery-Smith, E., & Bovcon, M. (2022). Anatomy of a coup: Social and governance red flags common in vulnerable countries. Maplecroft.
View in Google Scholar
Hurlin, C. (2003). Econométrie des variables qualitatives: Polycopié de cours. Maîtrise d’Econométrie.
View in Google Scholar
ICG (International Crisis Group). (2011). Côte d’Ivoire: Is war the only option? Africa Report, 171.
View in Google Scholar
Im, K. S., Pesaran, M. H., & Shin, Y. (1997). Testing for unit roots in heterogeneous panels. Working Paper. University of Cambridge.
View in Google Scholar
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74.
View in Google Scholar
IMF (International Monetary Fund). (2020). World economic outlook, October 2020: A long and difficultascent. IMF Library.
View in Google Scholar
IMF (International Monetary Fund). (2021). Zambia: 2021 Article IV consultation report. IMF Library.
View in Google Scholar
Jurado, K., Ludvigson, S. C., & Ng, S. (2015). Measuring uncertainty. American Economic Review, 105(3), 1177–1216.
View in Google Scholar
Kane, C. S. (2018). Economic and sociopolitical risks in public choices in West Africa. Journal of Economics, 6(3), 82–92.
View in Google Scholar
Kane, C. S., & Diop, A. N. (2012). Risque sociopolitique et investissements directs étrangers en Afrique de l’ouest. West African Economic Review, 1, 92–116.
View in Google Scholar
Kauffman, S. A. (1996). At home in the universe: The search for the laws of self-organization and complexity. Oxford University Press.
View in Google Scholar
Keynes, J. M. (1936). The general theory of employment, interest and money. Macmillan.
View in Google Scholar
Knight, F. (1921). Risk, uncertainty and profit. The Riverside Press.
View in Google Scholar
Kpassagou, B. L., Barma, M., Kalina, K., Kounou, K., Adansikou, K., & Hatta, O. (2021). Clinique des victimes des crises socio-politiques de 1958 à 2005 au Togo. Journal de la Recherche Scientifique de l’Université de Lomé, 23(1), 135–150.
View in Google Scholar
Krugman, P. (1988). Financing vs. forgiving a debt overhang. Journal of Development Economics, 29(3), 253–268.
View in Google Scholar
Kumo, W. L. (2015). Inflation targeting monetary policy, inflation volatility and economic growth in South Africa. Working Paper, 216. https://www.afdb.org/sites/default/files/documents/publications/wps_no_216_inflation_targeting_m-onetary_policy_inflation_volatility_and_economic_growth_in_south_africa_b.pdf
View in Google Scholar
Lederman, D., Loayza, N. V., & Soares, R. R. (2005). Accountability and corruption: Political institutions matter. Economics & Politics, 17(1), 1–35.
View in Google Scholar
Lee, S. C. (2016). A Bayesian inference for fixed effect panel probit model. Communications for Statistical Applications and Methods, 23(2), 179–187.
View in Google Scholar
Levitsky, S., & Way, L. A. (2010). Competitive authoritarianism: Hybrid regimes after the cold war. Cambridge University Press.
View in Google Scholar
Li, Y., Chen, J., & Feng, L. (2012). Dealing with uncertainty: A survey of theories and practices. IEEE Transactions on Knowledge and Data Engineering, 25(11), 2463–2482.
View in Google Scholar
Liu, (2007). Uncertainty theory: A branch of mathematics (2nd ed.). Springer.
View in Google Scholar
Loayza, N., & Pennings, S. (2020). Macroeconomic policy in the time of COVID-19: A primer for developing countries. World Bank Research & Policy Briefs, 147291.
View in Google Scholar
Lucas, R. E., Jr. (1972). Expectations and the neutrality of money. Journal of Economic Theory, 4(2), 103–124.
View in Google Scholar
Lucas, R. E., & Sargent, T. J. (Eds.). (1981). Rational expectations and econometric practice (vol. 2). University of Minnesota Press.
View in Google Scholar
Machina, M. J. (1987). Choice under uncertainty: Problems solved and unsolved. The Journal of Economic Perspectives, 1(1), 121–154.
View in Google Scholar
Mauro, P. (1995). Corruption and growth. Quarterly Journal of Economics, 110(3), 681–712. https://doi.org/10.2307/2946696
View in Google Scholar
McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105–142). Academic Press. https://escholarship.org/content/qt61s3q2xr/qt61s3q2xr.pdf
View in Google Scholar
Meager, R. (2021). Understanding informal employment: Evidence from Africa. Journal of Development Economics, 150, 102640.
View in Google Scholar
Mujahid, H., Uddin, I., Tabash, M., Ayubi, S., & Asad, M. (2021). Inflation volatility. Quality of institutions, and openness. Academy of Accounting and Financial Studies Journal, 25(S4), 1–12.
View in Google Scholar
Muth, J. (1961). Rational expectations and the theory of price movements. Econometrica, 29(3), 315–335.
View in Google Scholar
OECD. (2020). COVID-19 and Africa: Socio-economic implications and policy responses. https://www.oecd.org/en/publications/covid-19-and-africa-socio-economic-implications-and-policy-responses_96e1b282-en.html
View in Google Scholar
Okoli, C. K. (2013). The effect of the military on political instability [master’s thesis]. University of North Dakota. UND Digital Commons. https://commons.und.edu/theses/1585
View in Google Scholar
Pelz, P. F., Pfetsch, M. E., Kersting, S., Kohler, M., Matei, A., Melz, T., & Pfetsch, M. E. (2021). Types of uncertainty. In P. F. Pelz, M. E. Pfetsch, S. kersting, M. Köhler, A. Matei & T. Melz (Eds.), Mastering uncertainty in mechanical engineering (pp. 25–42). Springer.
View in Google Scholar
Persson, T., & Tabellini, G. (1998). The size and scope of government: Comparative politics with rational politicians. Working Paper, 6848.
View in Google Scholar
Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312.
View in Google Scholar
Ramsey, J. B. (1969). Tests for specification errors in classical linear least squares regression analysis. Journal of the Royal Statistical Society, 31(2), 350–371.
View in Google Scholar
Reinhart, C. M., & Rogoff, K. S. (2010). This time is different: Eight centuries of financial folly. Princeton Univeristy Press.
View in Google Scholar
Ricardo, D. (1817/1951). On the principles of political economy and taxation. The works and correspondence of David Ricardo (vol. 1). Cambridge University Press.
View in Google Scholar
Rother, P. (2004). Fiscal policy and inflation volatility. European Central Bank Working Paper, 325. https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp325.pdf
View in Google Scholar
Sargent, Th. J. (1987). Rational expectations. In J. Eatwell, M. Milgate & P. Newman (Eds.), The new Palgrave: A dictionary of economics (vol. 4, pp. 76–79). Macmillan.
View in Google Scholar
Say, J. B. (1803). Traité d’économie politique. Deterville.
View in Google Scholar
Shehata, E., & Mickaiel, S. (2014). LMABPXT: Stata module to compute Panel Data Autocorrelation Box-Pierce Test. Boston College Department of Economics.
View in Google Scholar
Smith, A. (1776/2005). An inquiry into the nature and causes of the wealth of nations. Liberty Fund.
View in Google Scholar
Standard & Poor’s. (2020). Sovereign ratings methodology and assumptions. S&P Global Ratings.
View in Google Scholar
Standard & Poor’s. (2022). Standard & Poor’s Ratings – février 2022. Banque africaine de développement.
View in Google Scholar
The V-Dem Dataset – V-Dem
View in Google Scholar
Theisen, O. M., Holtermann, H., & Buhaug, H. (2010). Drought, political exclusion, and civil war. Peace Research Institute Oslo (PRIO). https://www.prio.org/publications/4459
View in Google Scholar
Tilly, C. (2004). Social movements, 1768–2004. Paradigm Publishers.
View in Google Scholar
UNDP (United Nations Development Programme). (2019). Human development report: Beyond income, beyond averages, beyond today: Inequalities in human development in the 21st century. https://hdr.undp.org/content/human-development-report-2019
View in Google Scholar
von Neumann, J., & Morgenstern, O. (1944/2007). Theory of games and economic behavior (60th anniversary ed.). Princeton University Press.
View in Google Scholar
Vujović, Ž. Đ. (2021). Classification model evaluation metrics. International Journal of Advanced Computer Science and Applications, 12(6), 599–606. https://doi.org/10.14569/IJACSA.2021.0120670
View in Google Scholar
World Bank. (2019). Democratic Republic of Congo economic update: Growth for all. World Bank Group.
View in Google Scholar
World Bank. (2021). Ethiopia economic update: Overcoming uncertainty. World Bank Group.
View in Google Scholar
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
View in Google Scholar
Zadeh, L. A. (2006). Generalized theory of uncertainty (GTU)—principal concepts and ideas. Computational Statistics & Data Analysis, 51(1), 15–46.
View in Google Scholar
Zhang, T. (2016, December 22). Small states confront big challenges with natural disasters and climate change. IMF Blog. https://www.imf.org/en/Blogs/Articles/2016/12/22/small-states-confront-big-challenges-with-natural-disasters-and-climate-change
View in Google Scholar
Zhou, D., Lin, Z., & Lim, S. H. (2019). Spatial characteristics and risk factor identification for land use spatial conflicts in a rapid urbanization region in China. Environmental Monitoring and Assessment, 191, 1–22.
View in Google Scholar
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Komlan Amen Dogbe

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.