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Using Heteroscedasticity to Estimate the Returns to Education

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Author Info

  • Vincent Hogan

    (University College Dublin)

  • Roberto Rigobon

    (Sloan School of Management, Massachusetts Institute of Technology)

Abstract

We apply a new estimator to the measurement of the economic returns to education. We control for endogenous education, unobserved ability and measurement error using only the natural heteroscedasticty of wages and education attainment. Our prefered estimate, 6.07%, is closer to the OLS estimate but smaller (and more precise) than the estimates typically reported by studies that use IV. Our results indicate that the biases generated by unobserved ability and measurement error tend to cancel each other out as suggested by Griliches (1977). We also present Monte Carlo evidence to show that the finite sample bias our estimator is small.

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File URL: http://www.ucd.ie/economics/research/papers/2003/WP03.01.pdf
File Function: First version, 2003
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Bibliographic Info

Paper provided by School Of Economics, University College Dublin in its series Working Papers with number 200301.

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Length: 28 pages
Date of creation: 19 Jan 2003
Date of revision:
Handle: RePEc:ucn:wpaper:200301

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Phone: +353-1-7067777
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Web page: http://www.ucd.ie/economics
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Keywords: Identification; Returns to Education;

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References

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  1. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  2. Sentana, Enrique & Fiorentini, Gabriele, 2001. "Identification, estimation and testing of conditionally heteroskedastic factor models," Journal of Econometrics, Elsevier, vol. 102(2), pages 143-164, June.
  3. Mervyn King & Enrique Sentana & Sushil Wadhwani, 1990. "Volatiltiy and Links Between National Stock Markets," NBER Working Papers 3357, National Bureau of Economic Research, Inc.
  4. Esther Duflo, 2001. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," American Economic Review, American Economic Association, vol. 91(4), pages 795-813, September.
  5. Hogan, Vincent & Ian Walker, 2002. "Education Choice under Uncertainty," Royal Economic Society Annual Conference 2002 103, Royal Economic Society.
  6. Christian Belzil & J�rgen Hansen, 2002. "Unobserved Ability and the Return to Schooling," Econometrica, Econometric Society, vol. 70(5), pages 2075-2091, September.
  7. Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables: With an Application to the Returns to Schooling," Virginia Economics Online Papers 308, University of Virginia, Department of Economics.
  8. David Card, 2000. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," NBER Working Papers 7769, National Bureau of Economic Research, Inc.
  9. Rummery, Sarah & Vella, Francis & Verbeek, Marno, 1999. "Estimating the returns to education for Australian youth via rank-order instrumental variables," Labour Economics, Elsevier, vol. 6(4), pages 491-507, November.
  10. Rigobon, Roberto & Sack, Brian, 2004. "The impact of monetary policy on asset prices," Journal of Monetary Economics, Elsevier, vol. 51(8), pages 1553-1575, November.
  11. Joshua Angrist & Alan Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," Working Papers 653, Princeton University, Department of Economics, Industrial Relations Section..
  12. Harmon, C & Ian Walker, 1995. "Estimates of the economic return to schooling for the UK," IFS Working Papers W95/12, Institute for Fiscal Studies.
  13. Harmon, Colm & Walker, Ian, 1995. "Estimates of the Economic Return to Schooling for the United Kingdom," American Economic Review, American Economic Association, vol. 85(5), pages 1278-86, December.
  14. Katz, Lawrence F. & Autor, David H., 1999. "Changes in the wage structure and earnings inequality," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 26, pages 1463-1555 Elsevier.
  15. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
  16. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
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Citations

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Cited by:
  1. Harmon, Colm & Hogan, Vincent & Walker, Ian, 2003. "Dispersion in the economic return to schooling," Labour Economics, Elsevier, vol. 10(2), pages 205-214, April.
  2. Ha Yan Lee & Luca Antonio Ricci & Roberto Rigobon, 2004. "Once Again, is Openness Good for Growth?," NBER Working Papers 10749, National Bureau of Economic Research, Inc.
  3. Francis Vella & Lídia Farré & Roger Klein, 2008. "A Parametric Control Function Approach to Estimating the Returns to Schooling in the Absence of Exclusion Restrictions: An Application to the NLSY," Working Papers. Serie AD 2008-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  4. Markus Jochmann & Winfried Pohlmeier, 2004. "The Causal Effect of Schooling : empirical Evidence from Germany," Working Papers of the Research Group Heterogenous Labor 04-05, Research Group Heterogeneous Labor, University of Konstanz/ZEW Mannheim.
  5. Yakovlev, Pavel & Leguizamon, Susane, 2012. "Ignorance is not bliss: On the role of education in subjective well-being," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(6), pages 806-815.
  6. David Audretsch & Erik Lehmann & Susanne Warning, 2004. "University Spillovers: Does the Kind of Science Matter?," Industry and Innovation, Taylor & Francis Journals, vol. 11(3), pages 193-206.
  7. Kajuth, Florian, 2012. "Identifying the Phillips curve through shifts in volatility," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 975-991.
  8. Uwaifo, Ruth, 2006. "Africa's Education Enigma? The Nigerian story," 2006 Annual meeting, July 23-26, Long Beach, CA 21254, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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