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Electoral Cycles and Macroeconomic Instability in Nigeria (1999– 2023): Evidence from Time Series Econometric Models

Sabinus Nnamdi Nwanneako, Kingdom Nwuju, Ifeoma Better Lekara-Bayo

Abstract

Macroeconomic instability remains a persistent challenge in emerging economies, particularly in politically active democracies where electoral incentives may influence economic policy decisions. In Nigeria, recurrent elections since the return to democratic rule in 1999 have raised concerns about the extent to which electoral cycles contribute to fluctuations in key macroeconomic indicators such as inflation, exchange rates, fiscal balance, interest rates, and real GDP growth. This study investigates the relationship between electoral cycles and macroeconomic instability in Nigeria over the period 1999Q1 to 2023Q4. The study employs quarterly secondary data obtained from the Central Bank of Nigeria Statistical Bulletin, the National Bureau of Statistics , and the Independent National Electoral Commission . The variables considered include inflation rate, real GDP growth, exchange rate volatility (NGN/USD), fiscal deficit as a percentage of GDP, interest rate, and a political election dummy variable capturing electoral periods. The Vector Autoregression model is used as the sole econometric technique to capture short run dynamic interrelationships among the variables, supported by variance decomposition and diagnostic tests. Empirical results from the VAR(1) best fitted model show that electoral cycles exhibit strong persistence, with a coefficient of 0.6699, but their direct impact on macroeconomic variables is weak and statistically insignificant in most cases. Inflation displays strong inertia, with a lagged coefficient of 0.9720, while exchange rate dynamics are highly persistent, with own shocks explaining over 90 percent of variation in the long run. Variance decomposition results indicate that over 95 percent of variations in inflation and exchange rate are initially driven by their own shocks, while electoral cycles contribute less than 5 percent across macroeconomic variables, suggesting limited direct transmission from political cycles to macroeconomic instability. The study concludes that macroeconomic instability in Nigeria is not primarily driven by direct electoral effects but rather by structural rigidities, institutional weaknesses, and external sector vulnerabilities, with electoral cycles exerting only indirect and limited influence. Based on the findings, the study recommends stronger fiscal discipline during election periods, enhanced central bank independence, improved exchange rate management, and institutional reforms to reduce political interference in macroeconomic policy. Strengthening policy credibility and economic governance is essential for mitigating instability and achieving sustainable macroeconomic performance in Nigeria’s democratic system. IJCSMT IJCSMT

Keywords

Electoral cyclesmacroeconomic instabilityVAR modelNigeriainflationexchange rate volatilityfiscal deficit.

References

Abaidoo, R., & Agyapong, D. (2021). Political cycles and macroeconomic instability in emerging economies: Evidence from fiscal and monetary interactions. Journal of Economic Policy Reform, 24(3), 215–232. Abaidoo, R., & Agyapong, D. (2024). Electoral incentives and macroeconomic volatility in developing economies. International Journal of Political Economy, 53(1), 45–67. Aidt, T. S., & Jensen, P. S. (2021). Political business cycles and fiscal policy in developing countries. Journal of Development Economics, 150, 102–115. Akinsanmi, O. (2023). Electoral politics and macroeconomic instability in Nigeria: A political economy perspective. African Journal of Governance and Development, 12(2), 88–104. Brender, A., & Drazen, A. (2022). Elections, leaders, and fiscal policy. American Economic Journal: Macroeconomics, 14(2), 1–30. Calvo, G. A., & Reinhart, C. M. (2021). Inflation dynamics in emerging economies. Journal of International Economics, 131, 103–120. Chinn, M. D., & Ito, H. (2022). Exchange rate volatility and capital flows in emerging markets. Journal of International Money and Finance, 120, 102–118. Ejedegba, J. (2023). Elections, policy uncertainty, and macroeconomic outcomes in emerging markets. Review of Development Economics, 27(4), 1021–1038. Enders, W. (2022). Applied econometric time series (4th ed.). Wiley. Mawutor, J. K. M., & Adjasi, C. K. D. (2025). Electoral cycles and macroeconomic fluctuations in Nigeria: Evidence from Markov-switching models. African Development Review, 37(1), 55–73. Nwuju, K., Essi, I. D., Tuaneh, G. L., Ndu, R. I., & Da-wariboko, A. Y. (2024). Comparative modelling of the impact of COVID-19 pandemic on Nigerian economic growth and stability: VAR and ARDL approaches. International Journal of Applied Science and Mathematical Theory, 10(5). Nwuju, K., Nwanneako, S. N., Lekara-Bayo, I. B., & Uket, J. O. (2025). Assessing the impact of the COVID-19 pandemic on Nigeria’s economic performance using VAR model: Evidence from key economic indicators. Asian Journal of Probability and Statistics, 27(6), 50–65. Ojima, E. (2025). Political cycles and economic uncertainty in Sub-Saharan Africa. Journal of African Economies, 34(2), 190–208. Okerekeoti, C. U. (2022). Institutional weaknesses and macroeconomic performance in Nigeria’s democratic era. Nigerian Journal of Economic Studies, 29(1), 66–82. Oyeleke, O. J., & Onatunji, A. S. (2024). Time-series modelling of macroeconomic instability: ARDL and VAR approaches in emerging economies. Journal of Applied Econometrics and Policy Analysis, 18(3), 301–320. Persson, T., & Tabellini, G. (2020). Political economics and fiscal policy cycles. Handbook of Public Economics, 5, 1–45.

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