Maximum Score Type Estimators
This paper presents maximum score type estimators for linear, binomial, tobit and truncated regression models. These estimators estimate the normalized vector of slopes and do not provide the estimator of intercept, although it may appear in the model. Strong consistency is proved. In addition, in the case of truncated and tobit regression models, maximum score estimators allow restriction of the sample in order to make ordinary least squares method consistent.
Volume (Year): 1 (2009)
Issue (Month): 1 (March)
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- repec:cup:cbooks:9780521542241 is not listed on IDEAS
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