consistency, unbiased, lpm, ols
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.
Horrace, William C. and Oaxaca, Ronald L., "Results on the Bias and Inconsistency of Ordinary Least Squares for the Linear Probability Model" (2005). Economics Faculty Scholarship. Paper 10.
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