Estimates Of The Returns To Schooling From Sibling Data: Fathers, Sons, And Brothers
AbstractData 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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Bibliographic InfoArticle provided by MIT Press in its journal The Review of Economics and Statistics.
Volume (Year): 79 (1997)
Issue (Month): 1 (February)
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Web page: http://mitpress.mit.edu/journals/
Other versions of this item:
- Orley Ashenfelter & David Zimmerman, 1993. "Estimates of the Return to Schooling From Sibling Data: Fathers, Sons and Brothers," Working Papers 697, Princeton University, Department of Economics, Industrial Relations Section..
- Orley Ashenfelter & David J. Zimmerman, 1993. "Estimates of the Returns to Schooling From Sibling Data: Fathers, Sons and Brothers," NBER Working Papers 4491, National Bureau of Economic Research, Inc.
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
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