Abstract
The present manuscript is intended to analyze the behavior of Moroccan small cities’ residential attractiveness through several statistical modeling. For this purpose, we have built in first place a structural econometric model using binary logistic stepwise backward regression in order to extract the most relevant variables that may influence the net migration rate in small Moroccan cities. We have implemented those variables in a predictive model via artificial neural networks. Modeling results revealed many evidence such as, residential attractiveness is a rather complex phenomenon that depends on different factors such as employment supply and housing conditions. These findings might enlighten policy makers for better decision making especially since the ANN prediction algorithm’s accuracy exceeded 80 %.
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