In this paper, we extend the usual treatment effect model to cross sectionally dependent data. The extension requires new way of modeling as the traditional latent variable framework no longer works. We define the average treatment effect coefficient that includes the direct effect and the indirect effect caused by general equilibrium. Under some sufficient conditions, we derive the asymptotic properties. A small scale simulation study reveals that the proposed estimator has practical value.