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

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  • 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
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    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Hussey, Andrew, 2012. "Human capital augmentation versus the signaling value of MBA education," Economics of Education Review, Elsevier, vol. 31(4), pages 442-451.
    10. 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.
    11. 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.
    12. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    13. 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.
    14. 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.
    15. Adam Bonica & Adam S. Chilton & Jacob Goldin & Kyle Rozema & Maya Sen, 2017. "The Political Ideologies of Law Clerks," American Law and Economics Review, Oxford University Press, vol. 19(1), pages 96-128.
    16. 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.
    17. 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.
    18. 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.
    19. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs [Econometric methods for program evaluation]," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
    26. 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.
    27. 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.
    28. Bordón, Paola & Braga, Breno, 2020. "Employer learning, statistical discrimination and university prestige," Economics of Education Review, Elsevier, vol. 77(C).
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. repec:oup:amlawe:v:19:y:2017:i:1:p:96-128 is not listed on IDEAS
    34. 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.
    35. 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.
    36. Fabian Lange, 2007. "The Speed of Employer Learning," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 1-35.
    37. Nick Huntington-Klein, 2021. "Human capital versus signaling is empirically unresolvable," Empirical Economics, Springer, vol. 60(5), pages 2499-2531, May.
    38. 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.
    39. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    40. 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.
    41. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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    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

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