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

Author

Listed:
  • 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)

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%.

Suggested Citation

  • Jenny-Paola Lis-Gutiérrez & Mercedes Gaitán-Angulo & Jenny Cubillos-Diaz, 2020. "Spending Level of Displaced Population Returned to La Palma, Cundinamarca (2018): A Machine Learning Application," Migration Letters, Migration Letters, vol. 17(5), pages 639-649, September.
    • Handle: RePEc:mig:journl:v:17:y:2020:i:5:p:639-649
    DOI: https://doi.org/10.33182/ml.v17i5.693
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