IDEAS home Printed from https://ideas.repec.org/p/upj/weupjo/20-319.html
   My bibliography  Save this paper

College Attainment, Income Inequality, and Economic Security: A Simulation Exercise

Author

Listed:
  • Brad J. Hershbein

    (W.E. Upjohn Institute for Employment Research)

  • Melissa S. Kearney

    (University of Maryland and NBER)

  • Luke W. Pardue

    (University of Maryland)

Abstract

We conduct an empirical simulation exercise that gauges the plausible impact of increased rates of college attainment on a variety of measures of income inequality and economic insecurity. Using two different methodological approaches—a distributional approach and a causal parameter approach—we find that increased rates of bachelor’s and associate degree attainment would meaningfully increase economic security for lower-income individuals, reduce poverty and near-poverty, and shrink gaps between the 90th and lower percentiles of the earnings distribution. However, increases in college attainment would not significantly reduce inequality at the very top of the distribution.

Suggested Citation

  • Brad J. Hershbein & Melissa S. Kearney & Luke W. Pardue, 2020. "College Attainment, Income Inequality, and Economic Security: A Simulation Exercise," Upjohn Working Papers 20-319, W.E. Upjohn Institute for Employment Research.
  • Handle: RePEc:upj:weupjo:20-319
    as

    Download full text from publisher

    File URL: https://research.upjohn.org/cgi/viewcontent.cgi?article=1338&context=up_workingpapers
    Download Restriction: This material is copyrighted. Permission is required to reproduce any or all parts.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, Oxford University Press, vol. 107(1), pages 35-78.
    2. David Card & Thomas Lemieux, 2001. "Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 705-746.
    3. David J. Deming & Christopher R. Walters, 2017. "The Impact of Price Caps and Spending Cuts on U.S. Postsecondary Attainment," NBER Working Papers 23736, National Bureau of Economic Research, Inc.
    4. Seth D. Zimmerman, 2014. "The Returns to College Admission for Academically Marginal Students," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 711-754.
    5. Jeff Larrimore & Richard Burkhauser & Shuaizhang Feng & Laura Zayatz, 2008. "Consistent Cell Means for Topcoded Incomes in the Public Use March CPS (1976-2007)," Working Papers 08-06, Center for Economic Studies, U.S. Census Bureau.
    6. Claudia Goldin & Robert A. Margo, 1992. "The Great Compression: The Wage Structure in the United States at Mid-Century," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 1-34.
    7. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    8. Mark Hoekstra, 2009. "The Effect of Attending the Flagship State University on Earnings: A Discontinuity-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 717-724, November.
    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. Wright, Nicholas A., 2021. "Need-based financing policies, college decision-making, and labor market behavior: Evidence from Jamaica," Journal of Development Economics, Elsevier, vol. 150(C).
    2. Holzer, Harry J., 2021. "After COVID-19: Building a More Coherent and Effective Workforce Development System in the US," IZA Policy Papers 174, Institute of Labor Economics (IZA).
    3. Brad J. Hershbein & Isabel McMullen & Brian Pittelko & Bridget Timmeney, 2021. "Beyond degrees: Longer term outcomes of the Kalamazoo Promise," Upjohn Working Papers 21-350, W.E. Upjohn Institute for Employment Research.
    4. Stefania Albanesi & Maria Jose Prados, 2022. "Slowing Women’s Labor Force Participation: The Role of Income Inequality," Working Papers 2022-037, Human Capital and Economic Opportunity Working Group.

    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. Verdugo, Gregory, 2014. "The great compression of the French wage structure, 1969–2008," Labour Economics, Elsevier, vol. 28(C), pages 131-144.
    2. Barbara Pertold-Gebicka, 2010. "Measuring Skill Intensity of Occupations with Imperfect Substitutability Across Skill Types," CERGE-EI Working Papers wp421, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    3. Henry S Farber & Daniel Herbst & Ilyana Kuziemko & Suresh Naidu, 2021. "Unions and Inequality over the Twentieth Century: New Evidence from Survey Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1325-1385.
    4. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    5. Mark Colas & Sebastian Findeisen & Dominik Sachs, 2021. "Optimal Need-Based Financial Aid," Journal of Political Economy, University of Chicago Press, vol. 129(2), pages 492-533.
    6. Tomas Havranek & Zuzana Irsova & Lubica Laslopova & Olesia Zeynalova, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," Working Papers IES 2020/29, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    7. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2011. "Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 393-415, September.
    8. Hornstein, Andreas & Krusell, Per & Violante, Giovanni L., 2005. "The Effects of Technical Change on Labor Market Inequalities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 20, pages 1275-1370, Elsevier.
    9. Stephen P. Jenkins & Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2011. "Measuring inequality using censored data: a multiple‐imputation approach to estimation and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 63-81, January.
    10. Holger M. Mueller & Paige P. Ouimet & Elena Simintzi, 2015. "Wage Inequality and Firm Growth," LIS Working papers 632, LIS Cross-National Data Center in Luxembourg.
    11. Glitz, Albrecht & Wissmann, Daniel, 2021. "Skill Premiums and the Supply of Young Workers in Germany," Labour Economics, Elsevier, vol. 72(C).
    12. Gallipoli, Giovanni & Makridis, Christos A., 2018. "Structural transformation and the rise of information technology," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 91-110.
    13. Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2016. "Using The Pareto Distribution To Improve Estimates Of Topcoded Earnings," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1263-1273, April.
    14. Fernández, Manuel & Messina, Julián, 2018. "Skill premium, labor supply, and changes in the structure of wages in Latin America," Journal of Development Economics, Elsevier, vol. 135(C), pages 555-573.
    15. Mueller, Holger & Simintzi, Elena & Ouimet, Paige, 2015. "Wage Inequality and Firm Growth," CEPR Discussion Papers 10365, C.E.P.R. Discussion Papers.
    16. Joshua Goodman, 2019. "The Labor of Division: Returns to Compulsory High School Math Coursework," Journal of Labor Economics, University of Chicago Press, vol. 37(4), pages 1141-1182.
    17. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    18. Jay H. Hong & Byoung Hoon Seok & Hye Mi You, 2019. "Wage Volatility And Changing Patterns Of Labor Supply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 595-630, May.
    19. Shao-Hsun Keng & Peter F. Orazem, 2019. "Performance pay, the marriage market and rising income inequality in Taiwan," Review of Economics of the Household, Springer, vol. 17(3), pages 969-992, September.
    20. Semih Tümen, 2012. "On the Economic Content of the Gini Coefficient," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 1(1), pages 97-110, January.

    More about this item

    Keywords

    education; college attainment; income inequality; earnings distribution; economic security poverty;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:upj:weupjo:20-319. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/upjohus.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.