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On Omitted Variables Bias and Measurement Error in Returns to Schooling Estimates

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Author Info
Mellander, E.
Abstract

Lam and Schoeni (1993) consider an equation where earnings are explained by schooling and ability. They assume that ability data are lacking and that schooling is measured with error. The estimate obtained by regressing earnings on schooling thus contains omitted variable bias (OVB), which is positive, and measurement error bias (MEB), which is negative. A simulation procedure is suggested that will yield consistent estimates of the true return and the measurement error variance.

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Publisher Info
Paper provided by Research Institute of Industrial Economics (IFN) in its series Research Institute of Industrial Economics Working Papers with number 494.

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Length: 19 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:fth:iniesr:494

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Related research
Keywords: ECONOMETRICS ; EVALUATION;

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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This page was last updated on 2009-12-16.


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