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We develop a structural multivariate spatial regression model allowing us to incorporate both inter- and intralocation effects among different variables. The existing multivariate spatial regression approaches are not able to simultaneously account for these effects. The currently available models either ignore the intralocation effect between the variables, which may result to bias in estimation
