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Using heteroscedasticity to estimate the returns to education

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  • Vincent (Vincent Peter) Hogan
  • Roberto Rigobon

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.

Suggested Citation

  • Vincent (Vincent Peter) Hogan & Roberto Rigobon, 2003. "Using heteroscedasticity to estimate the returns to education," Working Papers 200301, School of Economics, University College Dublin.
    • Handle: RePEc:ucn:wpaper:200301
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    File URL: http://hdl.handle.net/10197/931
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    References listed on IDEAS

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    1. 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.
    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. 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.
    4. Christian Belzil & Jörgen Hansen, 2002. "Unobserved Ability and the Return to Schooling," Econometrica, Econometric Society, vol. 70(5), pages 2075-2091, September.
    5. Colm Harmon; & Ian Walker, 1995. "Estimates of Economic Return to Schooling in the UK," Economics, Finance and Accounting Department Working Paper Series n540195, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
    6. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    7. Roberto Rigobon, 2000. "Identification through Heteroskedasticity: Measuring "Contagion: betweenArgentinean and Mexican Sovereign Bonds," NBER Working Papers 7493, National Bureau of Economic Research, Inc.
    8. 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.
    9. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, Oxford University Press, vol. 106(4), pages 979-1014.
    10. 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 1278-1286, December.
    11. Charles F. Manski & John V. Pepper, 2000. "Monotone Instrumental Variables, with an Application to the Returns to Schooling," Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
    12. Trostel, Philip & Walker, Ian & Woolley, Paul, 2002. "Estimates of the economic return to schooling for 28 countries," Labour Economics, Elsevier, vol. 9(1), pages 1-16, February.
    13. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    14. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
    15. Harmon, Harmon & Ian Walker, 1995. "Estimates of the economic return to schooling for the UK," IFS Working Papers W95/12, Institute for Fiscal Studies.
    16. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    17. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, Juni.
    18. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    19. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-933, July.
    20. Hogan, Vincent & Ian Walker, 2002. "Education Choice under Uncertainty," Royal Economic Society Annual Conference 2002 103, Royal Economic Society.
    21. 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.
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    Citations

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    Cited by:

    1. Eduardo Cavallo & Barry Eichengreen & Ugo Panizza, 2018. "Can countries rely on foreign saving for investment and economic development?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(2), pages 277-306, May.
    2. Lee, Ha Yan & Ricci, Luca Antonio & Rigobon, Roberto, 2004. "Once again, is openness good for growth?," Journal of Development Economics, Elsevier, vol. 75(2), pages 451-472, December.
    3. Cavallo, Eduardo & Eichengreen, Barry & Panizza, Ugo, 2016. "Can Countries Rely on Foreign Saving for Investment and Economic Development?," CEPR Discussion Papers 11451, C.E.P.R. Discussion Papers.
    4. Harmon, Colm & Hogan, Vincent & Walker, Ian, 2003. "Dispersion in the economic return to schooling," Labour Economics, Elsevier, vol. 10(2), pages 205-214, April.
    5. Rosso, Anna, 2019. "Emigrant selection and wages: The case of Poland," Labour Economics, Elsevier, vol. 60(C), pages 148-175.
    6. Vani Borooah & John Mangan, 2008. "Education, occupational class, and unemployment in the regions of the United Kingdom," Education Economics, Taylor & Francis Journals, vol. 16(4), pages 351-370.
    7. repec:ucn:wpaper:10197/1101 is not listed on IDEAS
    8. Kajuth, Florian, 2012. "Identifying the Phillips curve through shifts in volatility," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 975-991.
    9. Alan Fernihough, 2017. "Human capital and the quantity–quality trade-off during the demographic transition," Journal of Economic Growth, Springer, vol. 22(1), pages 35-65, March.
    10. Daniel J. Henderson & Andrew Houtenville & Le Wang, 2017. "The Distribution of Returns to Education for People with Disabilities," Journal of Labor Research, Springer, vol. 38(3), pages 261-282, September.
    11. 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.
    12. 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.
    13. 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).

    More about this item

    Keywords

    Identification; Returns to education; Education--Economic aspects; Heteroscedasticity; Wages--Effect of education on;

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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