In this paper we apply the geographically weighted regression (GWR) to examine provincial variation of the total fertility rate (TFR) in Italy. Such spatial analysis is important because the GWR model has the potential to reveal local patterns in the spatial distribution of parameter which would be ignored by ordinary least square regression (OLS). We conclude that the analysis of local TFR shows a significant improvement in model performance of GWR over OLS.
The GWR model: an investigation of spatial determinants of the local TFR in Italy
MUCCIARDI, Massimo;BERTUCCELLI, PIETRO
2010-01-01
Abstract
In this paper we apply the geographically weighted regression (GWR) to examine provincial variation of the total fertility rate (TFR) in Italy. Such spatial analysis is important because the GWR model has the potential to reveal local patterns in the spatial distribution of parameter which would be ignored by ordinary least square regression (OLS). We conclude that the analysis of local TFR shows a significant improvement in model performance of GWR over OLS.File in questo prodotto:
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