Estimates Of The Returns To Schooling From Sibling Data: Fathers, Sons, And Brothers
Data on brothers and on fathers and sons from the National Longitudinal Survey are used to consider the impact of omitted variables and measurement errors on the economic returns to schooling. The analysis suggests that the upward bias in estimated returns due to omitted variables is likely offset by an equal downward bias resulting from measurement errors in reported schooling. Controlling for both of these potential sources of bias yields results comparable to conventional regression estimates of the economic return to schooling. © 1997 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology
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Volume (Year): 79 (1997)
Issue (Month): 1 (February)
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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