Impact of Real Shocks on Business Cycles in selected Sub-Saharan African Countries

References

• Adeleye, N.,Osabuohien, E.,Bowale, E.,Matthew, O.,& Oduntan, E. (2018). Financial Reforms and Credit Growth in Nigeria: Empirical Insights from ARDL and ECM Techniques. International Review of Applied Economics, 32(6),807-820
   Google Scholar
• Alege, P. (2008). Macroeconomic Policies and Business Cycles in Nigeria. ( PhD thesis). Department of Economics and Development Studies, Covenant University
   Google Scholar
• Alege, P. (2009). A business cycle model for Nigeria. CBN Journal of Applied Statistics, 3(1), 85–18. https://www.cbn.gov.ng/out/2012/ccd/cbn%20jas%20volume%203%20number%201_complete.pdf
   Google Scholar
• Alege, P. O., & Osabuohien, E. S. (2013). G-Localization as a development model: Economic Implications for Africa. International Journal of Applied Economics and Econometrics, 21(1), 41–72. http://eprints.covenantuniversity.edu.ng/id/eprint/3886
   Google Scholar
• Aleksander, V. (2016). Business Cycles in Bulgaria and the Baltic Countries: An RBC Approach. ( EconStor Theses). ZBW - Leibniz Information Centre for Economics, number 142163.
   Google Scholar
• Ballabringa, F. C., Gonzalez., L. J. A., & Jareno, J. (2000). A BVAR macroeconomic model for the Spanish economy. Banco de España.
   Google Scholar
• Bello, H. T., Ayadi, F., Osabuohien, E. S., Ejemeyovwi, J. O., & Okafor, V. (2020). Economic analysis of growth finance and liquid liabilities in Nigeria. Investment Management and Financial Innovations, 17(3), 387–396. https://doi.org/https://doi.org/10.21511/imfi.17(3).2020.29
   Google Scholar
• Burns, A., & Mitchell, W. (1947). Measuring business cycles. Social Research, 14(3), 370–377. http://www.nber.org/books/burn46-1
   Google Scholar
• Canova, F. (1994). Statistical inference in calibrated models. Journal of Applied Econometrics, 9(S), 123–144. https://doi.org/https://doi.org/10.1002/jae.3950090508
   Google Scholar
• Canova, F., & Ciccarelli, M. (2013). Panel vector autoregressive models: A survey. European Central Bank Working Paper Series No 1507, European Central Bank. 1–52.
   Google Scholar
• Combes, J., Ebeke, C., Etoundi, M. N., & Thierry, Y. U. (2014). Are foreign aid and remittances a Hedge against food price shocks in developing countries? World Development, 54(1), 81–98. https://doi.org/https://doi.org/10.1016/j.worlddev.2013.07.011
   Google Scholar
• Doan, T., Litterman, R., & Sims, C. (1984). Forecasting and conditional projection using realistic prior distribution. Econometric Review, 3(1), 1–100. https://doi.org/https://doi.org/10.1080/07474938408800053
   Google Scholar
• Ejemeyovwi, J. O., Osabuohien, E. S. & Bowale, E. I. K. (2020). ICT adoption, innovation and financial development in a digital world: empirical analysis from Africa, Transnational Corporations Review. doi:https://doi.org/10.1080/19186444.2020.1851124
   Google Scholar
• Gavin, W. T., & Theodorou, A. (2005). A common model approach to macroeconomics: Using panel data to reduce sampling error. Journal of Forecasting, 24(3), 203–219. https://doi.org/https://doi.org/10.1002/for.954
   Google Scholar
• King, R., & Rebelo, S. (1999). Resucitating real business cycles. In J. B. Taylor & M. Woodford (Eds.), Handbook of macroeconomics (1st ed., pp. 927–1007). Elsevier.
   Google Scholar
• Kydland, E., & Prescott, E. (1982). Time to build and aggregate fluctuation. Econometrica, 50(6), 1345–1370. https://doi.org/https://doi.org/10.2307/1913386
   Google Scholar
• Litterman, R. (1986). Forecasting with Bayesian vector auto regressions - Five years of experience. Journal of Business & Economic Statistics, 4(1), 25–38. https://gpe.ufes.br/sites/gpe.ufes.br/files/field/anexo/Forecasting%20with%20Bayesian%20Vector%20Autoregressions%20Five%20Years%20of%20Experience.pdf
   Google Scholar
• Nason, J. M., & Cogley, T. (1994). Testing the implications of long-run neutrality for monetary business cycle models. Journal of Applied Econometrics, 9(S), 37–70. https://doi.org/https://doi.org/10.1002/jae.3950090504
   Google Scholar
• National Bureau Statistics (2016). Nigerian gross domestic product report. Retrieved from https://www.nbs.gov.sc/downloads
   Google Scholar
• Olaniran, O., Oladipo, A., & Yusuff, A. (2017). Business cycle, macroeconomic variables and economic growth in Nigeria (1986-2014); A time series econometric approach. Global Journal of Human-Social Science: Economics, 7(6), 85–95. https://socialscienceresearch.org/index.php/GJHSS/article/view/2420
   Google Scholar
• Patroba, H., & Raputsoane, L. (2016). South Africa’s real business cycles: The cycle is the trend. Stellenbosch Economic Working Papers: 12/16, Stellenbosch University, Department of Economics, 1–18
   Google Scholar
• Prescott, E. (1986). Theory ahead of business cycle measurement. Federal Reserve Bank of Minneapolis Quarterly Review, 10(4), 9–22. http://minneapolisfed.org/research/sr/sr102.pdf
   Google Scholar
• Schorfheide, F. (2000). Loss function-based evaluation of DSGE models. Journal of Applied Econometrics, 15(6), 645–670. https://doi.org/https://doi.org/10.1002/jae.582
   Google Scholar
• Sims, C., & Zha, T. (1998). Bayesian methods for dynamic multivariate models. International Economic Review, 39(4), 949–968. https://doi.org/https://doi.org/10.2307/2527347
   Google Scholar
• Sissoko, Y., & Dibooglu, S. (2006). The exchange rate system and macroeconomic fluctuations in Sub-Saharan Africa. Economic Systems, 30(2), 141–156. https://doi.org/https://doi.org/10.1016/j.ecosys.2005.11.002
   Google Scholar
• World Bank (2020). World development indicators. World Bank Publications https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=NG (Accessed: 15/ 07/2020).
   Google Scholar