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Estimating the Return to Endogenous Schooling Decisions for Australian Workers via Conditional Second Moments

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Author Info
Roger Klein () (Rutgers University)
Francis Vella () (Georgetown University and IZA Bonn)
Abstract

This paper employs conditional second moments to identify the impact of education in wage regressions where education is treated as endogenous. This approach avoids the use of instrumental variables in a setting where instruments are frequently not available. We employ this methodology to estimate the returns to schooling for a sample of Australian workers. We find that accounting for the endogeneity of education in this manner increases the estimated return to education from 6 percent to 10 percent.

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Publisher Info
Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2407.

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Length: 31 pages
Date of creation: Oct 2006
Date of revision:
Handle: RePEc:iza:izadps:dp2407

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Related research
Keywords: returns to schooling endogeneity heteroskedasticity

Find related papers by JEL classification:
J2 - Labor and Demographic Economics - - Demand and Supply of Labor
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

This paper has been announced in the following NEP Reports:

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  1. Alan Krueger & Orley Ashenfelter, 1992. "Estimates of the Economic Return to Schooling from a New Sample of Twins," NBER Working Papers 4143, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  2. 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:
  3. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    Other versions:
  4. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, 09. [Downloadable!] (restricted)
  5. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March. [Downloadable!] (restricted)
    Other versions:
  6. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-60, September.
    Other versions:
  7. Andrew Leigh & Chris Ryan, 2005. "Estimating Returns to Education: Three Natural Experiment Techniques Compared," Discussion Papers 493, Centre for Economic Policy Research, Research School of Social Sciences, Australian National University. [Downloadable!]
  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. [Downloadable!] (restricted)
  9. Miller, Paul W & Mulvey, Charles & Martin, Nick, 1995. "What Do Twins Studies Reveal about the Economic Returns to Education? A Comparison of Australian and U.S. Findings," American Economic Review, American Economic Association, vol. 85(3), pages 586-99, June. [Downloadable!] (restricted)
  10. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," NBER Working Papers 4483, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  11. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January. [Downloadable!] (restricted)
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