Identi cation of Limited Dependent Variable Models Using a Special Regressor With Limited Support
نویسنده
چکیده
The special regressor method (Lewbel 2000) has been used to identify a variety of limited dependent variable models. Based on its early application to binary choice models, the method required the special regressor to have large (in many cases the entire real line) support, which constrained its usefulness for empirical work. This paper shows that for ordered choice and censored regression models, identi cation only requires a special regressor with limited support.
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