Spending Level of Displaced Population Returned to La Palma, Cundinamarca (2018): A Machine Learning Application

Jenny-Paola Lis-Gutiérrez, Mercedes Gaitán-Angulo and Jenny Cubillos-Diaz
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Jenny-Paola Lis-Gutiérrez: Fundación Universitaria Konrad Lorenz, Colombia
Mercedes Gaitán-Angulo: Fundación Universitaria Konrad Lorenz, Colombia
Jenny Cubillos-Diaz: Fundación Universitaria Konrad Lorenz, Colombia

Migration Letters, 2020, vol. 17, issue 5, 639-649

Abstract: This research aims to know the variables allowing to predict the spending level of the displacement victims that returned to La Palma, Cundinamarca. For this purpose, a measurement instrument was divided into four sections: characterisation of the population, restitution of economic rights, patterns of economic distribution and, finally, social innovation initiatives. We applied the instrument to 100 participants, and we use different Machine Learning algorithms to know the variables that allow predicting the level of expenses of the displacement victims that returned to La Palma, Cundinamarca. The findings permitted to observe that, at the aggregate level, the Random Forest and the SMV have a prediction capacity higher than 84%.

Keywords: Displaced population; expenses; victimizing events; Colombia armed conflict; machine learning (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:mig:journl:v:17:y:2020:i:5:p:639-649

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DOI: 10.33182/ml.v17i5.693

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