IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_10403.html
   My bibliography  Save this paper

Imperfect Signals

Author

Listed:
  • Georg Graetz

Abstract

A pre-condition for employer learning is that signals at labor market entry do not fully reveal graduates’ productivity. I model various distinct sources of signal imperfection—such as noise and multi-dimensional types—and characterize their implications for the private return to skill acquisition. Structural estimates using NLSY data suggest an important role for noise, pushing the private return below the social return. This induces substantial under-investment and causes output losses of up to 22 percent. Value-added-based evidence from Swedish high school graduates also points to noise and under-investment. Highlighting the distinction between schooling duration and skills acquired, I conclude that individuals likely spend too much time in school, but learn too little.

Suggested Citation

  • Georg Graetz, 2023. "Imperfect Signals," CESifo Working Paper Series 10403, CESifo.
  • Handle: RePEc:ces:ceswps:_10403
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp10403.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Georg Graetz, 2021. "On the interpretation of diploma wage effects estimated by regression discontinuity designs," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 228-258, February.
    2. Christopher Jepsen & Peter Mueser & Kenneth Troske, 2016. "Labor Market Returns to the GED Using Regression Discontinuity Analysis," Journal of Political Economy, University of Chicago Press, vol. 124(3), pages 621-649.
    3. Gaurab Aryal & Manudeep Bhuller & Fabian Lange, 2022. "Signaling and Employer Learning with Instruments," American Economic Review, American Economic Association, vol. 112(5), pages 1669-1702, May.
    4. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 313-350.
    5. Roland G. Fryer, 2011. "Financial Incentives and Student Achievement: Evidence from Randomized Trials," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1755-1798.
    6. Philip Babcock & Mindy Marks, 2011. "The Falling Time Cost of College: Evidence from Half a Century of Time Use Data," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 468-478, May.
    7. Mahmut Ablay & Fabian Lange, 2023. "Approaches to learn about employer learning," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(2), pages 343-356, May.
    8. Feng, Andy & Graetz, Georg, 2017. "A question of degree: The effects of degree class on labor market outcomes," Economics of Education Review, Elsevier, vol. 61(C), pages 140-161.
    9. Hendricks, Lutz & Schoellman, Todd, 2014. "Student abilities during the expansion of US education," Journal of Monetary Economics, Elsevier, vol. 63(C), pages 19-36.
    10. Fryer, Roland G., 2016. "Information, non-financial incentives, and student achievement: Evidence from a text messaging experiment," Journal of Public Economics, Elsevier, vol. 144(C), pages 109-121.
    11. Jovanovic, Boyan, 1979. "Job Matching and the Theory of Turnover," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 972-990, October.
    12. Henry S. Farber & Robert Gibbons, 1996. "Learning and Wage Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(4), pages 1007-1047.
    13. Freier, Ronny & Schumann, Mathias & Siedler, Thomas, 2015. "The earnings returns to graduating with honors — Evidence from law graduates," Labour Economics, Elsevier, vol. 34(C), pages 39-50.
    14. Adermon, Adrian & Hensvik, Lena, 2022. "Gig-jobs: Stepping stones or dead ends?," Labour Economics, Elsevier, vol. 76(C).
    15. Khoo, Pauline & Ost, Ben, 2018. "The effect of graduating with honors on earnings," Labour Economics, Elsevier, vol. 55(C), pages 149-162.
    16. Lisa B. Kahn & Fabian Lange, 2014. "Employer Learning, Productivity, and the Earnings Distribution: Evidence from Performance Measures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1575-1613.
    17. Peter Fredriksson & Lena Hensvik & Oskar Nordström Skans, 2018. "Mismatch of Talent: Evidence on Match Quality, Entry Wages, and Job Mobility," American Economic Review, American Economic Association, vol. 108(11), pages 3303-3338, November.
    18. Peter Arcidiacono & Patrick Bayer & Aurel Hizmo, 2010. "Beyond Signaling and Human Capital: Education and the Revelation of Ability," American Economic Journal: Applied Economics, American Economic Association, vol. 2(4), pages 76-104, October.
    19. Audra J. Bowlus & Chris Robinson, 2012. "Human Capital Prices, Productivity, and Growth," American Economic Review, American Economic Association, vol. 102(7), pages 3483-3515, December.
    20. Lisa B. Kahn, 2013. "Asymmetric Information between Employers," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 165-205, October.
    21. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    22. Coate, Stephen & Loury, Glenn C, 1993. "Will Affirmative-Action Policies Eliminate Negative Stereotypes?," American Economic Review, American Economic Association, vol. 83(5), pages 1220-1240, December.
    23. Damon Clark & Paco Martorell, 2014. "The Signaling Value of a High School Diploma," Journal of Political Economy, University of Chicago Press, vol. 122(2), pages 282-318.
    Full references (including those not matched with items on IDEAS)

    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. Graetz, Georg, 2023. "Imperfect signals," Working Paper Series 2023:10, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    2. Graetz, Georg, 2023. "Imperfect Signals," IZA Discussion Papers 16104, Institute of Labor Economics (IZA).
    3. Georg Graetz, 2021. "On the interpretation of diploma wage effects estimated by regression discontinuity designs," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 228-258, February.
    4. Mahmut Ablay & Fabian Lange, 2023. "Approaches to learn about employer learning," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(2), pages 343-356, May.
    5. Graetz, Georg, 2017. "Human Capital, Signaling, and Employer Learning: What Insights Do We Gain from Regression Discontinuity Designs?," IZA Discussion Papers 11125, Institute of Labor Economics (IZA).
    6. Gaurab Aryal & Manudeep Bhuller & Fabian Lange, 2022. "Signaling and Employer Learning with Instruments," American Economic Review, American Economic Association, vol. 112(5), pages 1669-1702, May.
    7. Lepage, Louis Pierre, 2021. "Endogenous learning, persistent employer biases, and discrimination," CLEF Working Paper Series 34, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    8. W. Bentley MacLeod & Evan Riehl & Juan E. Saavedra & Miguel Urquiola, 2017. "The Big Sort: College Reputation and Labor Market Outcomes," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 223-261, July.
    9. Nick Huntington-Klein, 2021. "Human capital versus signaling is empirically unresolvable," Empirical Economics, Springer, vol. 60(5), pages 2499-2531, May.
    10. Theodore Koutmeridis, 2013. "The Market for "Rough Diamonds": Information, Finance and Wage Inequality," CDMA Working Paper Series 201307, Centre for Dynamic Macroeconomic Analysis, revised 14 Oct 2013.
    11. Busso, Matias & Montaño, Sebastián & Muñoz-Morales, Juan, 2023. "Signaling Specific Skills and the Labor Market of College Graduates," Working papers 108, Red Investigadores de Economía.
    12. Daniel Kreisman & Jonathan Smith & Bondi Arifin, 2023. "Labor Market Signaling and the Value of College: Evidence from Resumes and the Truth," Journal of Human Resources, University of Wisconsin Press, vol. 58(6), pages 1820-1849.
    13. Kiss, Andrea & Garlick, Robert & Orkin, Kate & Hensel, Lukas, 2023. "Jobseekers' Beliefs about Comparative Advantage and (Mis)Directed Search," IZA Discussion Papers 16522, Institute of Labor Economics (IZA).
    14. Seik Kim & Emiko Usui, 2021. "Employer learning, job changes, and wage dynamics," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1286-1307, July.
    15. Jens MohrenweiserBy & Gabriele Wydra-Somaggio & Thomas Zwick, 2020. "Information advantages of training employers despite credible training certificates," Oxford Economic Papers, Oxford University Press, vol. 72(3), pages 651-671.
    16. Melinda Petre, 2018. "Are Employers Omniscient? Employer Learning About Cognitive and Noncognitive Skills," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 57(3), pages 323-360, July.
    17. Lepage, Louis Pierre, 2020. "Endogenous learning and the persistence of employer biases in the labor market," CLEF Working Paper Series 24, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    18. MacLeod, W. Bentley & Urquiola, Miguel, 2012. "Anti-Lemons: School Reputation, Relative Diversity, and Educational Quality," IZA Discussion Papers 6805, Institute of Labor Economics (IZA).
    19. Khoo, Pauline & Ost, Ben, 2018. "The effect of graduating with honors on earnings," Labour Economics, Elsevier, vol. 55(C), pages 149-162.
    20. Mohrenweiser, Jens & Wydra-Sommaggio, Gaby & Zwick, Thomas, 2015. "Work-related ability as source of information advantages of training employers," ZEW Discussion Papers 15-057, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    Keywords

    human capital; signalling; employer learning; returns to schooling;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ces:ceswps:_10403. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.