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The Causal Effect of Schooling : empirical Evidence from Germany

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Author Info
Markus Jochmann () (Department of Economics, University of Konstanz)
Winfried Pohlmeier () (Department of Economics, University of Konstanz)

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Abstract

This paper analysis the robustness of the causal relationship between schooling and wages. Different estimators and instruments are compared under the assumption of heterogeneous returns to schooling. A data set from Germany is employed. It is shown that the results depend crucially on the choice of instruments and not so much on the applied estimator.

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Publisher Info
Paper provided by Research Group Heterogeneous Labor, University of Konstanz/ZEW Mannheim in its series Working Papers of the Research Group Heterogenous Labor with number 04-05.

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Length: 31 pages
Date of creation: 25 Feb 2004
Date of revision:
Handle: RePEc:knz:hetero:0405

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Postal: D-78457 Konstanz
Phone: +49 7531 88 2314
Web page: http://www.uni-konstanz.de/forschergruppewiwi
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Related research
Keywords: returns to schooling ; causal effect ; correlated random coefficients ; weak instruments ; robust interference;

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Find related papers by JEL classification:
J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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.:

  1. Blomquist, Soren & Dahlberg, Matz, 1999. "Small Sample Properties of LIML and Jackknife IV Estimators: Experiments with Weak Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 69-88, Jan.-Feb.. [Downloadable!]
  2. Donald, Stephen G & Newey, Whitney K, 2001. "Choosing the Number of Instruments," Econometrica, Econometric Society, vol. 69(5), pages 1161-91, September.
  3. Pedro Carneiro & James J. Heckman, 2002. "The Evidence on Credit Constraints in Post--secondary Schooling," Economic Journal, Royal Economic Society, vol. 112(482), pages 705-734, October. [Downloadable!] (restricted)
    Other versions:
  4. Angrist, Joshua D & Krueger, Alan B, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, MIT Press, vol. 106(4), pages 979-1014, November. [Downloadable!] (restricted)
    Other versions:
  5. Wooldridge, Jeffrey M., 1997. "On two stage least squares estimation of the average treatment effect in a random coefficient model," Economics Letters, Elsevier, vol. 56(2), pages 129-133, October. [Downloadable!] (restricted)
  6. Orley Ashenfelter & Cecilia Rouse, 1998. "Income, Schooling, And Ability: Evidence From A New Sample Of Identical Twins," The Quarterly Journal of Economics, MIT Press, vol. 113(1), pages 253-284, February. [Downloadable!] (restricted)
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  7. Jinyong Hahn & Jerry Hausman, 2002. "A New Specification Test for the Validity of Instrumental Variables," Econometrica, Econometric Society, vol. 70(1), pages 163-189, January. [Downloadable!] (restricted)
    Other versions:
  8. DiNardo, John E & Pischke, Jorn-Steffen, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 291-303, February.
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  9. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
  10. Fuller, Wayne A, 1977. "Some Properties of a Modification of the Limited Information Estimator," Econometrica, Econometric Society, vol. 45(4), pages 939-53, May. [Downloadable!] (restricted)
  11. Michael Maier & Friedhelm Pfeiffer & Winfried Pohlmeier, 2003. "Overeducation and Individual Heterogeneity," Working Papers of the Research Group Heterogenous Labor 03-01, Research Group Heterogeneous Labor, University of Konstanz/ZEW Mannheim. [Downloadable!]
  12. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40. [Downloadable!] (restricted)
  13. Vincent Hogan & Roberto Rigobon, 2002. "Using Heteroscedasticity to Estimate the Returns to Education," NBER Working Papers 9145, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  14. Charles R. Nelson & Richard Startz, 1988. "Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator," NBER Technical Working Papers 0068, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  15. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2004. "Estimation with weak instruments: Accuracy of higher-order bias and MSE approximations," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 272-306, 06. [Downloadable!] (restricted)
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