Sieve maximum likelihood estimation of the spatial autoregressive Tobit model

Simulations show that the sieve MLE can improve the finite sample performance upon misspecified normal MLEs. As an empirical application, we examine the school district income surtax rates in Iowa. Our results show that the spatial spillover effects are significant, but they may be overestimated if disturbances are restricted to be normally distributed.