IDEAS home Printed from https://ideas.repec.org/a/bla/coecpo/v20y2002i2p160-170.html
   My bibliography  Save this article

The Effects Of Secondary School Quality On The Distribution Of Earnings

Author

Listed:
  • Eric R. Eide
  • Mark H. Showalter
  • David P. Sims

Abstract

A number of researchers have investigated the effects of school quality on average earnings in the postschooling years. In this article we broaden the discussion to investigate whether school quality has a measurable impact at other points in the conditional earnings distribution. We find that in specifications that do not control for individual and family background characteristics there are differential effects of school resources on earnings. The most significant effects occur in the top half of the conditional earnings distribution. However, after controlling for a variety of demographic variables, much of the impact of school resources on earnings is diminished. Exceptions to this seem to be school enrollment levels and, to a lesser degree, expenditures: higher enrollments tend to raise the upper tail of the earnings distribution without a similar increase in the bottom of the distribution; the effect of expenditures is positive and significant for the 0.25 quantile and the median.

Suggested Citation

  • Eric R. Eide & Mark H. Showalter & David P. Sims, 2002. "The Effects Of Secondary School Quality On The Distribution Of Earnings," Contemporary Economic Policy, Western Economic Association International, vol. 20(2), pages 160-170, April.
  • Handle: RePEc:bla:coecpo:v:20:y:2002:i:2:p:160-170
    DOI: 10.1093/cep/20.2.160
    as

    Download full text from publisher

    File URL: https://doi.org/10.1093/cep/20.2.160
    Download Restriction: no

    File URL: https://libkey.io/10.1093/cep/20.2.160?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    2. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    5. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    6. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
    7. Betts, Julian R, 1995. "Does School Quality Matter? Evidence from the National Longitudinal Survey of Youth," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 231-250, May.
    8. Grogger, Jeff, 1996. "Does School Quality Explain the Recent Black/White Wage Trend?," Journal of Labor Economics, University of Chicago Press, vol. 14(2), pages 231-253, April.
    9. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John A. Bishop & Feijun Luo & Fang Wang, 2005. "Economic transition, gender bias, and the distribution of earnings in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 239-259, April.
    2. Eric R. Eide & Mark H. Showalter, 2005. "Does Improving School Quality Reduce The Probability Of Unemployment?," Contemporary Economic Policy, Western Economic Association International, vol. 23(4), pages 578-584, October.
    3. Richard J. Butler & Gene Lai, 2023. "Insurance wage-offer disparities by gender: random forest regression and quantile regression evidence from the 2010–2018 American Community Surveys," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(2), pages 192-229, September.
    4. Chiswick, Barry R. & Le, Anh T. & Miller, Paul W., 2006. "How Immigrants Fare Across the Earnings Distribution: International Analyses," IZA Discussion Papers 2405, Institute of Labor Economics (IZA).
    5. Anh Tram Le & Paul W. Miller & Barry R. Chiswick, 2006. "The Immigrant-Native Born Earnings Gap in the US: a Quantile Regression Analysis and International Comparison," Economics Discussion / Working Papers 06-04, The University of Western Australia, Department of Economics.
    6. Eide, Eric R. & Showalter, Mark H. & Goldhaber, Dan D., 2010. "The relation between children's health and academic achievement," Children and Youth Services Review, Elsevier, vol. 32(2), pages 231-238, February.
    7. Changhui Kang & Yoonsoo Park, 2021. "Private Tutoring and Distribution of Student Academic Outcomes: An Implication of the Presence of Private Tutoring for Educational Inequality," Korean Economic Review, Korean Economic Association, vol. 37, pages 287-326.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bedard, Kelly, 2003. "School quality and the distribution of male earnings in Canada," Economics of Education Review, Elsevier, vol. 22(4), pages 395-407, August.
    2. Justin L. Tobias & Mingliang Li, 2003. "A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 315-336.
    3. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    4. Barrow, Lisa & Rouse, Cecilia Elena, 2004. "Using market valuation to assess public school spending," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1747-1769, August.
    5. Corak, Miles & Lauzon, Darren, 2009. "Differences in the distribution of high school achievement: The role of class-size and time-in-term," Economics of Education Review, Elsevier, vol. 28(2), pages 189-198, April.
    6. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    7. Sims, David P., 2008. "Strategic responses to school accountability measures: It's all in the timing," Economics of Education Review, Elsevier, vol. 27(1), pages 58-68, February.
    8. Ludger Wößmann, 2003. "European education production functions: what makes a difference for student achievement in Europe?," European Economy - Economic Papers 2008 - 2015 190, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    9. David Card & Alan B. Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," NBER Working Papers 5450, National Bureau of Economic Research, Inc.
    10. Justin Tobias, 2003. "The effects of cognitive ability and high school quality on college entry decisions: nonparametric estimation of parameters of interest," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 209-215.
    11. Fertig, Michael, 2003. "Who's to Blame? The Determinants of German Students' Achievement in the PISA 2000 Study," RWI Discussion Papers 4, RWI - Leibniz-Institut für Wirtschaftsforschung.
    12. Eide, Eric R. & Ronan, Nick, 2001. "Is participation in high school athletics an investment or a consumption good?: Evidence from high school and beyond," Economics of Education Review, Elsevier, vol. 20(5), pages 431-442, October.
    13. Lisa Barrow & Cecilia Elena Rouse, 2000. "Using Market Valuation to Assess the Importance and Efficiency of Public School Spending," Econometric Society World Congress 2000 Contributed Papers 1446, Econometric Society.
    14. Bedi, Arjun Singh & Edwards, John H. Y., 2002. "The impact of school quality on earnings and educational returns--evidence from a low-income country," Journal of Development Economics, Elsevier, vol. 68(1), pages 157-185, June.
    15. Wilson, Kathryn, 2002. "The effects of school quality on income," Economics of Education Review, Elsevier, vol. 21(6), pages 579-588, December.
    16. Eskil Heinesen & Brian Krogh Graversen, 2005. "The effect of school resources on educational attainment: evidence from Denmark," Bulletin of Economic Research, Wiley Blackwell, vol. 57(2), pages 109-143, April.
    17. Buchinsky, Moshe, 1995. "Quantile regression, Box-Cox transformation model, and the U.S. wage structure, 1963-1987," Journal of Econometrics, Elsevier, vol. 65(1), pages 109-154, January.
    18. Lounkaew, Kiatanantha, 2013. "Explaining urban–rural differences in educational achievement in Thailand: Evidence from PISA literacy data," Economics of Education Review, Elsevier, vol. 37(C), pages 213-225.
    19. Cook, Michael D & Evans, William N, 2000. "Families or Schools? Explaining the Convergence in White and Black Academic Performance," Journal of Labor Economics, University of Chicago Press, vol. 18(4), pages 729-754, October.
    20. Corak, Miles & Lauzon, Darren, 2009. "Differences in the distribution of high school achievement: The role of class-size and time-in-term," Economics of Education Review, Elsevier, vol. 28(2), pages 189-198, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:coecpo:v:20:y:2002:i:2:p:160-170. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.