Functional SAC model : with application to spatial econometrics

Spatial autoregressive combined (SAC) model has been widely studied in the literature for analysis of spatial data various areas such as geography, economics, demography, regional sciences. This is a linear with scalar response, explanatory variables and which allows interactions dependent variable disturbances. In this work we extend modeling approach from to functional covariate. The parameters are estimated via maximum likelihood estimation method. A simulation study conducted evaluate performance proposed methodology. As an illustration, used establish relationship between unemployment illiteracy Senegal.