Ofori, Isaac K (2021): Catching The Drivers of Inclusive Growth In Sub-Saharan Africa: An Application of Machine Learning. Forthcoming in:
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Abstract
A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum BIC) lasso, and the Adaptive lasso to study patterns in a dataset comprising 97 covariates of inclusive growth for 43 SSA countries. First, the regularization results show that only 13 variables are key for driving inclusive growth in SSA. Further, the results show that out of the 13, the poverty headcount (US$1.90) matters most. Second, the findings reveal that ‘Minimum BIC lasso’ is best for predicting inclusive growth in SSA. Policy recommendations are provided in line with the region’s green agenda and the coming into force of the African Continental Free Trade Area.
Item Type: | MPRA Paper |
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Original Title: | Catching The Drivers of Inclusive Growth In Sub-Saharan Africa: An Application of Machine Learning |
Language: | English |
Keywords: | Clean Fuel; Economic Growth; Machine Learning; Lasso; Sub-Saharan Africa; Regularization; Poverty. |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C55 - Large Data Sets: Modeling and Analysis C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C87 - Econometric Software F - International Economics > F6 - Economic Impacts of Globalization O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O55 - Africa |
Item ID: | 108622 |
Depositing User: | Mr Isaac K Ofori |
Date Deposited: | 05 Jul 2021 04:57 |
Last Modified: | 05 Jul 2021 04:57 |
References: | Acemoglu & Robinson (2012) “Why Nations Fail: The Origins of Power, Prosperity and Poverty”. Profile Books, London. Ali, I. & Son, H.(2007). “Measuring Inclusive Growth,” Asian Development Review, 24(1), 11–31. Anand, R., Mishra, S. & Peiris, S. (2013). Inclusive growth: measurement and determinants. IMF Working Papers No. 13/135. ADB. (2013). Framework of inclusive growth indicators: Key indicators for Asia and the Pacific. Mandaluyong City, Philippines: Asian Development Bank. AWID (Association for Women’s Rights in Development) (2011) Microcredit Pitfalls: The Experience of Dalit Women In India. http://bit.ly/1lUosvk Berg A., & Ostry J. D. (2011). Inequality and Unsustainable Growth: Two sides of the same coin? IMF Staff Discussion Note, Washington DC, International Monetary Fund, Brown, C. S., Ravallion, M., & Van De Walle, D. (2020). Can the World’s Poor Protect Themselves from the New Coronavirus? (No. w27200). National Bureau of Economic Research. Calderón, C. & Servén, L. (2014). Infrastructure, Growth, and Inequality (Policy Research Working Paper). World Bank. Commission on Growth and Development (2008) “The Growth Report: Strategies for Sustained Growth and Inclusive Development”. Washington DC, World Bank. Dreher, A. (2006). “Does Globalization Affect Growth? Empirical Evidence from a new index.” Applied Economics, 38: 1091-1110. Dutt, P., & Tsetlin, I. (2016). Income distribution and economic development: Insights from machine learning. Economics & Politics. ECLAC (2011) “Poverty, Inequality and Perceptions of Work in Latin America”. CEPAL, Santiago de Chile Estache, A., Ianchovichina, E., Bacon, R., & Salamon, I. (2013). Infrastructure and employment creation in the Middle East and North Africa. The World Bank. Gajigo, O. & Lukoma, A. (2011). Infrastructure and agricultural productivity in Africa. Market Brief. African Development Bank. Greenwald, B., & Stiglitz, J. E. (2013). Industrial policies, the creation of a learning society, and economic development. In The Industrial Policy Revolution (43-71). Palgrave Macmillan, London. Gyamfi, N. M., Bokpin, G. A., Aboagye, A. Q., & Ackah, C. G. (2019). Financial development, institutional quality and inclusive growth in Africa. Global Business Review, Gygli, S., Haelg, F., Potrafke, N., & Sturm, J. E. (2019). The KOF Globalisation Index – Revisited. Review of International Organizations, 14(3), 543–574. Ianchovichina, E., & Lundstrom S. G. (2012). What Is Inclusive Growth? In Commodity Prices and Inclusive Growth in Low-Income Countries, ed. by Rabah Arezki, Catherine Pat-tillo, Marc Quintyn, and Min Zhu. International Monetary Fund. ILO (International Labour Organization) (2020a). World Economic and Social Outlook Trends – 2020. International Labour Office – Geneva. IMF (International Monetary Fund) (2020a). World Economic Outlook: A Long and Difficult Ascent. October. Washington, DC, International Monetary Fund. IMF (2011). “Regional Economic Outlook: Asia and Pacific.” October, Washington, DC. International Monetary Fund. IMF (2007). “Globalization and Inequality.” In World Economic Outlook, chapter 4. Washington, DC. International Monetary Fund. International Monetary Fund and World Bank. (2020). Enhancing Access to Opportunities. International Monetary Fund and World Bank, Washington, DC: World Bank. James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112, p. 18). New York: springer. Jung, J.-K., Patnam, M., & Ter-Martirosyan, A. (2018). An algorithmic crystal ball: Forecasts-based on machine learning. IMF Working Papers. Washington, D.C.: International Monetary Fund. Lahoti, R., Jayadev, A., & Reddy, S. (2016). The global consumption and income project (GCIP): An overview. Journal of Globalization and Development, 7(1), 61-108. Lustig, N., Lopez-Calva, L. F., & Ortiz-Juarez, E. (2012). Declining inequality in Latin America in the 2000s: the cases of Argentina, Brazil, and Mexico. The World Bank. Mutiiria, O. M., Ju, Q., & Dumor, K. (2020). Infrastructure and inclusive growth in sub-Saharan Africa: An empirical analysis. Progress in Development Studies, 20(3), 187-207. OECD (Organization for Economic Co-operation and Development). (2020). The Impact of The Coronavirus (COVID-19) Crisis on Development Finance, June, 2020. Paramasivan, S. Mani, K. & Utpal, C. (2014). A Theoretical Model for Inclusive Economic Growth in Indian Context. International Journal of Humanities and Social Science 4(13), 228-234. Ravallion, M., & Chen, S. (2019). Global poverty measurement when relative income matters. Journal of public economics, 177, 104046. Ravallion, M. (2004). Measuring Pro-Poor Growth. Economics Letters, 78: 93−99. Richardson, A., van Florenstein Mulder, T., & Vehbi, T. (2021). Nowcasting GDP using machine-learning algorithms: A real-time assessment. International Journal of Forecasting, 37(2), 941-948. Schneider, U., & Wagner, M. (2012). Catching growth determinants with the adaptive lasso. German Economic Review, 13(1), 71-85. Schwarz, G. (1978). Estimating the dimension of a model. Annals of statistics, 6(2), 461-464. Tella, S. A., & Alimi, O. Y. (2016). Determinants of inclusive growth in Africa: Role of health and demographic changes. African Journal of Economic Review, 4(2), 138-146. Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological), 58(1), 267-288. Tkacz, G. (2001). Neural network forecasting of Canadian GDP growth. International Journal of Forecasting, 17(1), 57-69. UNECA. 2019. “Fiscal Policy for Sustainable Development in Africa.” https://repository .uneca.org/handle/10855/41804. Van Niekerk, A. J. (2020). Towards inclusive growth in Africa. Development Southern Africa, 37(3), 519-533. World Bank (2021). World Development Indicators. February 17 Editiom. Washington, DC: World Bank. World Bank (2020a). Poverty and Shared Prosperity 2020: Reversals of Fortunes. October. Washington, DC: World Bank. World Bank (2020b). Global Economic Prospects, June 2020. Washington, DC: World Bank. World Bank (2019). Global Economic Prospects. Darkening Skies. January. Washington, DC: World Bank. World Bank (2013). “Inclusion Matters: The Foundation for Shared Prosperity”. Washington DC, World Bank. World Bank (2009) “What is Inclusive Growth?” Washington DC, World Bank. Zhuang, J., & Ali, I. (2010). Poverty, inequality, and inclusive growth in Asia. Poverty, Inequality, and Inclusive Growth: Measurement, Policy Issues, and Country Studies, 1-32. Zou, H. (2006). The Adaptive lasso and its oracle properties. Journal Of The American Statistical Association, 101(476), 1418-1429. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/108622 |