Selectivity models usually consist of two equations: a linear and a qualitative variables equation. This paper investigates the consistency of the ML-estimates of two selectivity models in which the heteroscedasticity of the error term of the linear equation is ignored. Homoscedastic estimation of a heteroscedastic model is proved to yield inconsistent estimates. Some Monte Carlo evidence is also provided.