Sample Selection Bias as a Specification Error
1979/01/01 by James J. Heckman · 315 citations
Computer Science · #Advanced Computational Techniques in Science and Engineering
paper · doi:10.2307/1912352
Abstract
Sample selection bias as a specification error This paper discusses the bias that results from using non-randomly selected samples to estimate behavioral relationships as an ordinary specification error or «omitted variables» bias. A simple consistent two stage estimator is considered that enables analysts to utilize simple regression methods to estimate behavioral functions by least squares methods. The asymptotic distribution of the estimator is derived.
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