This paper explores two alternatives for estimating systems of equations with multiple censored variables: Maximum Simulated Likelihood and a two-step technique that seems to be well suited for large samples. The empirical part of the paper estimates a system of cost, cost shares and revenue shares equations of Italian farms using both approaches.