Systematic risk profiling: A novel approach with applications to Kenya, Rwanda, and Malawi

This paper uses machine learning, simulation, and data mining methods to develop Systematic Risk Profiles of three developing economies: Kenya, Rwanda, and Malawi. We focus on three exogenous shocks with implications for economic performance: world market prices, capital flows, and climate-driven se...

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Bibliographic Details

Main Authors:	Mukashov, Askar, Robinson, Sherman, Thurlow, James, Arndt, Channing, Thomas, Timothy S.
Format:	Artículo preliminar
Language:	Inglés
Published:	International Food Policy Research Institute 2024
Subjects:	climate computable general equilibrium models machine learning risk uncertainty
Online Access:	https://hdl.handle.net/10568/158180