Autori:
Basile, Roberto ![](http://www.bncf.firenze.sbn.it/img/logo-bncf.jpg)
,
Minguez, Roman ![](http://www.bncf.firenze.sbn.it/img/logo-bncf.jpg)
,
Durban, Maria ![](http://www.bncf.firenze.sbn.it/img/logo-bncf.jpg)
Titolo:
An alternative semiparametric model for spatial panel dataPeriodico:
Statistical methods & applications : Journal of the Italian Statistical SocietyAnno:
2020 - Volume:
29 - Fascicolo:
4 - Pagina iniziale:
669 - Pagina finale:
708We propose a semiparametric P-Spline model to deal with spatial panel data. This model includes a non-parametric spatio-temporal trend, a spatial lag of the dependent variable, and a time series autoregressive noise. Specifically, we consider a spatio-temporal ANOVA model, disaggregating the trend into spatial and temporal main effects, as well as second- and third-order interactions between them. Algorithms based on spatial anisotropic penalties are used to estimate all the parameters in a closed form without the need for multidimensional optimization. Monte Carlo simulations and an empirical analysis of regional unemployment in Italy show that our model represents a valid alternative to parametric methods aimed at disentangling strong and weak cross-sectional dependence when both spatial and temporal heterogeneity are smoothly distributed.
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SICI: 1618-2510(2020)29:4<669:AASMFS>2.0.ZU;2-E
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