Forecasting first-year student mobility using explainable machine learning techniques
Marie-Louise Litmeyer,
Stefan Hennemann
Abstract:In the context of regional sciences and migration studies, gravity and radiation models are typically used to estimate human spatial mobility of all kinds. These formal models are incorporated as part of regression models along with co-variates, to better represent regional specific aspects. Often, the correlations between dependent and independent variables are of non-linear type and follow complex spatial interactions and multicollinearity. To address some of the model-related obstacles and to arrive at bett… Show more
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