Ronald Oaxaca - Academia.edu (original) (raw)

Papers by Ronald Oaxaca

Research paper thumbnail of Inter-Industry Wage Differentials and the Gender Wage Gap: An Identification Problem

Industrial and Labor Relations Review, 2001

An intuitively appealing method for estimating gender wage gaps by industry is shown to yield est... more An intuitively appealing method for estimating gender wage gaps by industry is shown to yield estimates that vary according to the arbitrary choice of left-out reference groups for non-industry categorical vari-ables, such as race and marital status. This study uses data from the ...

Research paper thumbnail of New wine in old bottles: a sequential estimation technique for the LPM

Research paper thumbnail of Results on the bias and inconsistency of ordinary least squares for the linear probability model

Economics Letters, 2006

on the linear probability model and provides sufficient conditions for unbiasedness and consisten... more 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.

Research paper thumbnail of Inter-Industry Wage Differentials and the Gender Wage Gap: An Identification Problem

Industrial and Labor Relations Review, 2001

An intuitively appealing method for estimating gender wage gaps by industry is shown to yield est... more An intuitively appealing method for estimating gender wage gaps by industry is shown to yield estimates that vary according to the arbitrary choice of left-out reference groups for non-industry categorical vari-ables, such as race and marital status. This study uses data from the ...

Research paper thumbnail of New wine in old bottles: a sequential estimation technique for the LPM

Research paper thumbnail of Results on the bias and inconsistency of ordinary least squares for the linear probability model

Economics Letters, 2006

on the linear probability model and provides sufficient conditions for unbiasedness and consisten... more 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.