IDEAS home Printed from https://ideas.repec.org/a/wly/empleg/v12y2015i3p421-480.html
   My bibliography  Save this article

Who Responds to U.S. News & World Report's Law School Rankings?

Author

Listed:
  • Jeffrey Evans Stake
  • Michael Alexeev

Abstract

U.S. News & World Report (USN&WR) publishes annual rankings of ABA‐approved law schools. The popularity of these rankings raises the question of whether they influence the behavior of law teachers, lawyers and judges, law school applicants, employers, or law school administrators. This study explores some indicia of USN&WR influence. Using data purchased from USN&WR, we attempt to determine whether USN&WR might have influenced (1) law faculty members who respond to the USN&WR survey of law school quality, (2) lawyers who respond to USN&WR surveys, (3) law school applicants choosing a school, (4) employers who hire law school graduates, and (5) administrators who set tuition. We find significant effects on the first three groups, particularly with respect to lower‐rank schools. That is, there may be “echo effects” of USN&WR rankings that are folded back into subsequent rankings and tend to stabilize them. We also find that rankings may exert some influence on tuition at law schools outside the top 40. We do not find evidence that employers hiring law graduates respond to changes in USN&WR rankings, either in median salaries paid or in employment percentages reported by law schools.

Suggested Citation

  • Jeffrey Evans Stake & Michael Alexeev, 2015. "Who Responds to U.S. News & World Report's Law School Rankings?," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 12(3), pages 421-480, September.
  • Handle: RePEc:wly:empleg:v:12:y:2015:i:3:p:421-480
    DOI: 10.1111/jels.12078
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jels.12078
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jels.12078?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. Xavier Freixas & Roger Guesnerie & Jean Tirole, 1985. "Planning under Incomplete Information and the Ratchet Effect," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(2), pages 173-191.
    2. Stacy B. Dale & Alan B. Krueger, 2014. "Estimating the Effects of College Characteristics over the Career Using Administrative Earnings Data," Journal of Human Resources, University of Wisconsin Press, vol. 49(2), pages 323-358.
    3. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    5. 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.
    6. James Monks & Ronald G. Ehrenberg, 1999. "The Impact of US News and World Report College Rankings on Admission Outcomes and Pricing Decisions at Selective Private Institutions," NBER Working Papers 7227, National Bureau of Economic Research, Inc.
    7. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    8. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    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. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    2. Meschi, Elena & Taymaz, Erol & Vivarelli, Marco, 2011. "Trade, technology and skills: Evidence from Turkish microdata," Labour Economics, Elsevier, vol. 18(S1), pages 60-70.
    3. Matjaž Volk & Polona Trefalt, 2014. "Access to Credit as a Growth Constraint," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 1(1), pages 29-39, May.
    4. Deodat E. Adenutsi & Meshach J. Aziakpono & Matthew K. Ocran, 2011. "The Changing Impact Of Macroeconomic Environment On Remittance Inflows In Sub-Saharan Africa," Journal of Academic Research in Economics, Spiru Haret University, Faculty of Accounting and Financial Management Constanta, vol. 3(2 (July)), pages 136-167.
    5. Möller Joachim & Tubadji Annie, 2009. "The Creative Class, Bohemians and Local Labor Market Performance: A Micro-data Panel Study for Germany 1975–2004," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(2-3), pages 270-291, April.
    6. Poelhekke, Steven, 2011. "Urban growth and uninsured rural risk: Booming towns in bust times," Journal of Development Economics, Elsevier, vol. 96(2), pages 461-475, November.
    7. Kai D. Schmid & Moritz Drechsel-Grau, 2013. "Habits and Envy: What Drives the Consumption Behavior of U.S. Households? Evidence from PSID, 1999-2009," IMK Working Paper 123-2013, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    8. Bravo-Ortega, Claudio & García Marín, Álvaro, 2011. "R&D and Productivity: A Two Way Avenue?," World Development, Elsevier, vol. 39(7), pages 1090-1107, July.
    9. Dufour, Dominique & Luu, Philippe & Teller, Pierre, 2018. "The influence of cash flow on the speed of adjustment to the optimal capital structure," Research in International Business and Finance, Elsevier, vol. 45(C), pages 62-71.
    10. Yong Tan & Christos Floros, 2012. "Stock market volatility and bank performance in China," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 29(3), pages 211-228, July.
    11. Mary Hallward-Driemeier & Bob Rijkers & Andrew Waxman, 2017. "Do Employers' Responses to Crises Impact Men and Women Differently? Firm-level Evidence from Indonesia," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 1018-1056, November.
    12. Martin Andersson & Hans Lööf, 2011. "Agglomeration and productivity: evidence from firm-level data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 601-620, June.
    13. Gravier-Rymaszewska, Joanna & Tyrowicz, Joanna & Kochanowicz, Jacek, 2010. "Intra-provincial inequalities and economic growth in China," Economic Systems, Elsevier, vol. 34(3), pages 237-258, September.
    14. Juan Federico & Joan-Lluis Capelleras, 2015. "The heterogeneous dynamics between growth and profits: the case of young firms," Small Business Economics, Springer, vol. 44(2), pages 231-253, February.
    15. Bashir, Malik Fahim & Xu, Changsheng & Zaman, Khalid & Akhmat, Ghulam & Ikram, Muhammad, 2013. "Impact of foreign political instability on Chinese exports," Economic Modelling, Elsevier, vol. 33(C), pages 802-807.
    16. Sylvester C. W. Eijffinger & Benedikt Goderis, 2008. "The Effect of Monetary Policy on Exchange Rates during Currency Crises: the Role of Debt, Institutions, and Financial Openness," Review of International Economics, Wiley Blackwell, vol. 16(3), pages 559-575, August.
    17. Martin Bijsterbosch & Marcin Kolasa, 2010. "FDI and productivity convergence in Central and Eastern Europe: an industry-level investigation," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(4), pages 689-712, January.
    18. Tsun Se Cheong & Yanrui Wu, 2013. "Globalization and Regional Inequality," Economics Discussion / Working Papers 13-10, The University of Western Australia, Department of Economics.
    19. Tveteras, Sigbjorn & Roll, Kristin H., 2011. "Long-haul flights and tourist arrivals," MPRA Paper 32157, University Library of Munich, Germany.
    20. Scott, K. Rebecca, 2011. "Demand and Price Volatility: Rational Habits in International Gasoline Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2q87432b, Department of Agricultural & Resource Economics, UC Berkeley.

    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:wly:empleg:v:12:y:2015:i:3:p:421-480. 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://doi.org/10.1111/(ISSN)1740-1461 .

    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.