Normalized Equation and Decomposition Analysis: Computation and Inference
25 Pages Posted: 7 Nov 2005
Date Written: October 2005
Abstract
This paper joins discussions on normalized regression and decomposition equations in devising a simple and general algorithm for obtaining the normalized regression and applying it to the Oaxaca decomposition. This resolves the invariance problem in the detailed Oaxaca decomposition. An algorithm to calculate an asymptotic covariance matrix for estimates in the normalized regression for hypothesis testing is also derived. We extend these algorithms to non-linear equations where the underlying equation is linear and decompose differences in the first moment.
Keywords: detailed decomposition, invariance, identification, characteristics effect, coefficients effect, normalized regression
JEL Classification: C20, J70
Suggested Citation: Suggested Citation
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