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Karim Barhoumi, Seung Mo Choi, Tara Iyer, Jiakun Li, Franck Ouattara, Mr. Andrew J Tiffin, and Jiaxiong Yao

for emerging markets and developing economies, including Turkey ( Solmaz and Sanjani 2015 ), Lebanon ( Tiffin 2016 ), India ( Iyer and Gupta 2019 ), and others ( Marini 2016 ; Narita and Yin 2018 ). This paper contributes to the literature by expanding the application to the data-sparse environment of sub-Saharan Africa. 2 Machine-learning algorithms have often performed relatively well when quickly capturing sharp turning points in GDP growth . Jung and others (2018) test for the robustness of machine-learning forecasts in historical crises and find that