• Corpus ID: 219401556

Using an interpretable Machine Learning approach to study the drivers of International Migration

@article{Kiossou2020UsingAI,
  title={Using an interpretable Machine Learning approach to study the drivers of International Migration},
  author={Harold Silvere Kiossou and Yannik Schenk and Fr{\'e}d{\'e}ric Docquier and Vinas{\'e}tan Ratheil Houndji and Siegfried Nijssen and Pierre Schaus},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.03560}
}
Globally increasing migration pressures call for new modelling approaches in order to design effective policies. It is important to have not only efficient models to predict migration flows but also to understand how specific parameters influence these flows. In this paper, we propose an artificial neural network (ANN) to model international migration. Moreover, we use a technique for interpreting machine learning models, namely Partial Dependence Plots (PDP), to show that one can well study… 

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