Abstract: The paper presents a two-stage method for estimating the parameters in the censored linear model Y_i=max(0,α₀+X_i'β₀), 1 ≤ i ≤ n. In the first stage the data are grouped in some groups and then some adjustments are made, the results are used in the boier stage to form a Tobin-type estimate. The asymptotic normality of the estimate is proved and some simultions are made.

Key words: Censoring, linear models, Tobin-type estimate