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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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Postal: UCD, Belfield, Dublin 4
Phone: +353-1-7067777
Fax: +353-1-283 0068
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. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
  2. 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.
  3. Joshua Angrist & Alan Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," Working Papers 653, Princeton University, Department of Economics, Industrial Relations Section..
  4. Christian Belzil & J�rgen Hansen, 2002. "Unobserved Ability and the Return to Schooling," Econometrica, Econometric Society, vol. 70(5), pages 2075-2091, September.
  5. Sentana, E. & Fiorentini, G., 1997. "Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Model," Papers 9709, Centro de Estudios Monetarios Y Financieros-.
  6. 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.
  7. 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.
  8. 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.
  9. Roberto Rigobon & Brian P. Sack, 2002. "The Impact of Monetary Policy on Asset Prices," NBER Working Papers 8794, National Bureau of Economic Research, Inc.
  10. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-33, July.
  11. David Card, 2000. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," NBER Working Papers 7769, National Bureau of Economic Research, Inc.
  12. 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.
  13. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
  14. Harmon, C & Ian Walker, 1995. "Estimates of the economic return to schooling for the UK," IFS Working Papers W95/12, Institute for Fiscal Studies.
  15. Hogan, Vincent & Ian Walker, 2002. "Education Choice under Uncertainty," Royal Economic Society Annual Conference 2002 103, Royal Economic Society.
  16. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
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Citations

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Cited by:
  1. Harmon, Colm & Hogan, Vincent & Walker, Ian, 2001. "Dispersion in the Economic Return to Schooling," CEPR Discussion Papers 3037, C.E.P.R. Discussion Papers.
  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. David Audretsch & Erik Lehmann & Susanne Warning, 2004. "University Spillovers: Does the Kind of Science Matter?," Working Papers of the Research Group Heterogenous Labor 04-04, Research Group Heterogeneous Labor, University of Konstanz/ZEW Mannheim.
  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. Lídia Farré & Roger Klein & Francis Vella, 2013. "A parametric control function approach to estimating the returns to schooling in the absence of exclusion restrictions: an application to the NLSY," Empirical Economics, Springer, vol. 44(1), pages 111-133, February.
  6. 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.
  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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