Article ID Journal Published Year Pages File Type
5062611 Economics Letters 2006 7 Pages PDF
Abstract

This note formalizes bias and inconsistency results for ordinary least squares (OLS) on the linear probability model and provides sufficient conditions for unbiasedness and consistency to hold. The conditions suggest that a “trimming estimator” may reduce OLS bias.

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Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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Results on the bias and inconsistency of ordinary least squares for the linear probability model
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