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Title: Sample Selection Bias as a Specification Error with an Application to the Estimation of Labor Supply Functions
Resulting in 1 citation.
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Heckman, James J. |
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Sample Selection Bias as a Specification Error with an Application to the Estimation of Labor Supply Functions In: Female Labor Supply: Theory and Estimation. JP Smith, ed. Princeton, NJ: Princeton University Press, 1980: pp. 206-248 Cohort(s): Mature Women Publisher: Princeton University Press Keyword(s): Behavior; Husbands, Income; Research Methodology; Sample Selection; Wages Permission to reprint the abstract has not been received from the publisher. The author discusses the bias that results from using non-randomly selected data within the specification error framework of Griliches and Theil and presents a method that enables economists to use simple regression techniques to estimate behavioral functions free of selection bias. A model of female labor supply and wage rates is estimated with this technique. The empirical results suggest that selection bias is an important problem in estimating labor supply functions, but is less important in estimating wage functions. Very high estimates of the elasticity of female labor supply are derived, but these are shown to be consistent with conventional estimates that ignore selection bias. |
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Bibliography Citation
Heckman, James J. "Sample Selection Bias as a Specification Error with an Application to the Estimation of Labor Supply Functions" In: Female Labor Supply: Theory and Estimation. JP Smith, ed. Princeton, NJ: Princeton University Press, 1980: pp. 206-248
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