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Published by: Admin

Published: 1 year ago

Pages: 35

ISBN:

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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

Isaac K. Ofori Mr

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Catching the Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning

Publication Information

Abstract

Isaac K. Ofori Mr

Related Publications

VOLUME 7 ISSUE 1 2024

Female unemployment, mobile money innovations and doing business by females

VOLUME 7 ISSUE 1 2024

Sustainability Burden or Boost? Examining the Effect of Public Debt on Renewable Energy Consumption in Sub-Saharan Africa

VOLUME 7 ISSUE 1 2024

The effect of inequality on poverty and severity of poverty in SSA: the role of financial development institutions

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