IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v89y2022ics0272775722000577.html
   My bibliography  Save this article

The signaling value of university rankings: Evidence from top 14 law schools

Author

Listed:
  • Naven, Matthew
  • Whalen, Daniel

Abstract

This paper measures the impact of signaling on labor-market outcomes by estimating the labor-market effects of attending a U.S. News & World Report Top 14 (T14) law school. Utilizing data from the American Bar Association on class profiles, we use the value added with drift methodology to estimate the causal impact of attending a particular law school and then use a regression discontinuity methodology to estimate the difference in value added between T14 and non-T14 law schools that is attributable to T14 status. We find that T14 law schools confer no signaling effect on the Bar exam, which is graded blindly, but a substantial signaling effect on employment at “Big Law” firms with more than 250 attorneys, which pay some of the highest salaries in the law profession. The lowest-ranked T14 university increases the likelihood of Big Law employment by 30 percentage points (96%) more than the highest-ranked non-T14 university. This likely reflects asymmetric information in the labor market for lawyers, and thus graduating from a T14 law school serves as a signal of a lawyer’s ability.

Suggested Citation

  • Naven, Matthew & Whalen, Daniel, 2022. "The signaling value of university rankings: Evidence from top 14 law schools," Economics of Education Review, Elsevier, vol. 89(C).
  • Handle: RePEc:eee:ecoedu:v:89:y:2022:i:c:s0272775722000577
    DOI: 10.1016/j.econedurev.2022.102282
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775722000577
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2022.102282?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
    ---><---

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

    References listed on IDEAS

    as
    1. Bordón, Paola & Braga, Breno, 2020. "Employer learning, statistical discrimination and university prestige," Economics of Education Review, Elsevier, vol. 77(C).
    2. Justine S. Hastings & Christopher A. Neilson & Seth D. Zimmerman, 2013. "Are Some Degrees Worth More than Others? Evidence from college admission cutoffs in Chile," NBER Working Papers 19241, National Bureau of Economic Research, Inc.
    3. Kelly Bedard, 2001. "Human Capital versus Signaling Models: University Access and High School Dropouts," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 749-775, August.
    4. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
    5. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    6. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    7. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    8. Massimo Anelli, 2020. "The Returns to Elite University Education: a Quasi-Experimental Analysis," Journal of the European Economic Association, European Economic Association, vol. 18(6), pages 2824-2868.
    9. 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.
    10. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    11. Paul Oyer & Scott Schaefer, 2019. "The Returns to Elite Degrees: The Case of American Lawyers," ILR Review, Cornell University, ILR School, vol. 72(2), pages 446-479, March.
    12. Jack Mountjoy & Brent Hickman, 2020. "The Returns to College(s): Estimating Value-Added and Match Effects in Higher Education," Working Papers 2020-08, Becker Friedman Institute for Research In Economics.
    13. 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.
    14. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
    15. repec:oup:amlawe:v:19:y:2017:i:1:p:96-128 is not listed on IDEAS
    16. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    17. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    18. Hussey, Andrew, 2012. "Human capital augmentation versus the signaling value of MBA education," Economics of Education Review, Elsevier, vol. 31(4), pages 442-451.
    19. David J. Deming, 2014. "Using School Choice Lotteries to Test Measures of School Effectiveness," American Economic Review, American Economic Association, vol. 104(5), pages 406-411, May.
    20. Hanming Fang, 2006. "Disentangling The College Wage Premium: Estimating A Model With Endogenous Education Choices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(4), pages 1151-1185, November.
    21. Stacy Berg Dale & Alan B. Krueger, 2002. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1491-1527.
    22. Adam Bonica & Adam Chilton & Kyle Rozema & Maya Sen, 2018. "The Legal Academy's Ideological Uniformity," The Journal of Legal Studies, University of Chicago Press, vol. 47(1), pages 1-43.
    23. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    24. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    25. Suqin Ge & Elliott Isaac & Amalia Miller, 2022. "Elite Schools and Opting In: Effects of College Selectivity on Career and Family Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 383-427.
    26. Adam Bonica & Adam S. Chilton & Jacob Goldin & Kyle Rozema & Maya Sen, 2017. "The Political Ideologies of Law Clerks," American Law and Economics Review, American Law and Economics Association, vol. 19(1), pages 96-128.
    27. Philip Oreopoulos & Uros Petronijevic, 2013. "Making College Worth It: A Review of Research on the Returns to Higher Education," NBER Working Papers 19053, National Bureau of Economic Research, Inc.
    28. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    29. Rodney J. Andrews & Jing Li & Michael F. Lovenheim, 2016. "Quantile Treatment Effects of College Quality on Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 51(1), pages 200-238.
    30. Fabian Lange, 2007. "The Speed of Employer Learning," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 1-35.
    31. Nick Huntington-Klein, 2021. "Human capital versus signaling is empirically unresolvable," Empirical Economics, Springer, vol. 60(5), pages 2499-2531, May.
    32. Kevin Lang & David Kropp, 1986. "Human Capital Versus Sorting: The Effects of Compulsory Attendance Laws," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 609-624.
    33. John H. Tyler & Richard J. Murnane & John B. Willett, 2000. "Estimating the Labor Market Signaling Value of the GED," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 431-468.
    34. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    35. Michal Kolesár & Christoph Rothe, 2018. "Inference in Regression Discontinuity Designs with a Discrete Running Variable," American Economic Review, American Economic Association, vol. 108(8), pages 2277-2304, August.
    36. Seth D. Zimmerman, 2019. "Elite Colleges and Upward Mobility to Top Jobs and Top Incomes," American Economic Review, American Economic Association, vol. 109(1), pages 1-47, January.
    37. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    38. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    39. Michel Grosz, 2020. "The Returns to a Large Community College Program: Evidence from Admissions Lotteries," American Economic Journal: Economic Policy, American Economic Association, vol. 12(1), pages 226-253, February.
    40. 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.
    41. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    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. Monica Mihaela Maer Matei & Ana-Maria Zamfir & Cristina Mocanu, 2023. "Criteria Weights in Hiring Decisions—A Conjoint Approach," Mathematics, MDPI, vol. 11(3), pages 1-18, February.

    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. 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.
    2. Arteaga, Carolina, 2018. "The effect of human capital on earnings: Evidence from a reform at Colombia's top university," Journal of Public Economics, Elsevier, vol. 157(C), pages 212-225.
    3. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    4. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    5. 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.
    6. Nick Huntington-Klein, 2021. "Human capital versus signaling is empirically unresolvable," Empirical Economics, Springer, vol. 60(5), pages 2499-2531, May.
    7. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    8. 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.
    9. Cecilia Machado & Germ'an Reyes & Evan Riehl, 2023. "The Direct and Spillover Effects of Large-scale Affirmative Action at an Elite Brazilian University," Papers 2305.02513, arXiv.org, revised Jun 2023.
    10. 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).
    11. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
    12. Salim Atay & Gunes A. Asik & Semih Tumen, 2024. "Impact of Graduating with Honours on Entry Wages of Economics Majors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 606-640, June.
    13. Onda, Masayuki & Seyler, Edward, 2020. "English learners reclassification and academic achievement: Evidence from Minnesota," Economics of Education Review, Elsevier, vol. 79(C).
    14. Pastore, Chiara & Jones, Andrew M., 2023. "Human capital consequences of missing out on a grammar school education," Economic Modelling, Elsevier, vol. 126(C).
    15. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2023. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1977-2019.
    16. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    17. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    18. Valerie Bostwick, 2016. "Signaling In Higher Education: The Effect Of Access To Elite Colleges On Choice Of Major," Economic Inquiry, Western Economic Association International, vol. 54(3), pages 1383-1401, July.
    19. Goodman, Sarena & Isen, Adam & Yannelis, Constantine, 2021. "A day late and a dollar short: Liquidity and household formation among student borrowers," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1301-1323.
    20. Beuermann, Diether W. & Bottan, Nicolas L. & Hoffmann, Bridget & Jackson, C. Kirabo & Vera-Cossio, Diego, 2024. "Does education prevent job loss during downturns? Evidence from exogenous school assignments and COVID-19 in Barbados," European Economic Review, Elsevier, vol. 162(C).

    More about this item

    Keywords

    Human capital; Signaling; Law school; Returns to education; Asymmetric information; Value added; Regression discontinuity;
    All these keywords.

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations

    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:eee:ecoedu:v:89:y:2022:i:c:s0272775722000577. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    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.