IDEAS home Printed from https://ideas.repec.org/p/tuf/tuftec/0782.html
   My bibliography  Save this paper

Competition, Selectivity and Innovation in the Higher Educational Market

Author

Listed:
  • Lynne Pepall
  • Dan Richard

Abstract

Recent innovations in digital learning and web-based technologies have enable scalability in educational services that has previously not been feasible presenting a potential disruption of traditional higher education markets. This paper explores the impact of these innovations in vertically differentiated market with network externalities. Students differ in their ability to benefit from educational services. We describe how selective and non-selective institutions compete for students through tuition price and admission criteria and consider how free non-credentialed educational services (MOOCs) affect the market equilibrium. Our model also helps explain why selective institutions are frequently also the proprietors of MOOCs.

Suggested Citation

  • Lynne Pepall & Dan Richard, 2014. "Competition, Selectivity and Innovation in the Higher Educational Market," Discussion Papers Series, Department of Economics, Tufts University 0782, Department of Economics, Tufts University.
  • Handle: RePEc:tuf:tuftec:0782
    as

    Download full text from publisher

    File URL: http://ase.tufts.edu/economics/documents/papers/2014/sequentialInnovation.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Weili Ding & Steven F. Lehrer, 2007. "Do Peers Affect Student Achievement in China's Secondary Schools?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 300-312, May.
    2. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    3. Victor Lavy & M. Daniele Paserman & Analia Schlosser, 2012. "Inside the Black Box of Ability Peer Effects: Evidence from Variation in the Proportion of Low Achievers in the Classroom," Economic Journal, Royal Economic Society, vol. 122(559), pages 208-237, March.
    4. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
    5. Paul Belleflamme & Julien Jacqmin, 2016. "An Economic Appraisal of MOOC Platforms: Business Models and Impacts on Higher Education," CESifo Economic Studies, CESifo, vol. 62(1), pages 148-169.
    6. Julian R. Betts & Darlene Morell, 1999. "The Determinants of Undergraduate Grade Point Average: The Relative Importance of Family Background, High School Resources, and Peer Group Effects," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 268-293.
    7. Brad J. Hershbein, 2013. "Worker Signals among New College Graduates: The Role of Selectivity and GPA," Upjohn Working Papers 13-190, W.E. Upjohn Institute for Employment Research.
    8. Grilo, Isabel & Shy, Oz & Thisse, Jacques-Francois, 2001. "Price competition when consumer behavior is characterized by conformity or vanity," Journal of Public Economics, Elsevier, vol. 80(3), pages 385-408, June.
    9. 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, Oxford University Press, vol. 117(4), pages 1491-1527.
    10. Avner Shaked & John Sutton, 1982. "Relaxing Price Competition Through Product Differentiation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(1), pages 3-13.
    11. Philip Oreopoulos & Kjell G. Salvanes, 2011. "Priceless: The Nonpecuniary Benefits of Schooling," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 159-184, Winter.
    12. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, July.
    13. David J. Deming & Claudia Goldin & Lawrence F. Katz & Noam Yuchtman, 2015. "Can Online Learning Bend the Higher Education Cost Curve?," American Economic Review, American Economic Association, vol. 105(5), pages 496-501, May.
    14. Jaskold Gabszewicz, J. & Thisse, J. -F., 1979. "Price competition, quality and income disparities," Journal of Economic Theory, Elsevier, vol. 20(3), pages 340-359, June.
    15. Dominic J. Brewer & Eric R. Eide & Ronald G. Ehrenberg, 1999. "Does It Pay to Attend an Elite Private College? Cross-Cohort Evidence on the Effects of College Type on Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 34(1), pages 104-123.
    16. Scott A. Imberman & Adriana D. Kugler & Bruce I. Sacerdote, 2012. "Katrina's Children: Evidence on the Structure of Peer Effects from Hurricane Evacuees," American Economic Review, American Economic Association, vol. 102(5), pages 2048-2082, August.
    17. 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.
    18. Pablo A. Peña, 2010. "Pricing in the Not-for-Profit Sector: Can Wealth Growth at American Colleges Explain Chronic Tuition Increases?," Journal of Human Capital, University of Chicago Press, vol. 4(3), pages 242-273.
    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. Poyago-Theotoky Joanna & Tampieri Alessandro, 2016. "University Competition and Transnational Education: The Choice of Branch Campus," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(2), pages 739-766, June.

    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. Gilbert E. Metcalf & James Stock, 2015. "The Role of Integrated Assessment Models in Climate Policy: A User's Guide and Assessment," Discussion Papers Series, Department of Economics, Tufts University 0811, Department of Economics, Tufts University.
    2. Yu, Han, 2020. "Am I the big fish? The effect of ordinal rank on student academic performance in middle school," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 18-41.
    3. Silvia Mendolia & Alfredo R Paloyo & Ian Walker, 2018. "Heterogeneous effects of high school peers on educational outcomes," Oxford Economic Papers, Oxford University Press, vol. 70(3), pages 613-634.
    4. Kiss, David, 2013. "The impact of peer achievement and peer heterogeneity on own achievement growth: Evidence from school transitions," Economics of Education Review, Elsevier, vol. 37(C), pages 58-65.
    5. Suhonen, Tuomo, 2013. "Are there returns from university location in a state-funded university system?," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 465-478.
    6. Stephen Gibbons & Shqiponja Telhaj, 2016. "Peer Effects: Evidence from Secondary School Transition in England," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 548-575, August.
    7. Jonathan Smith & Kevin Stange, 2016. "A New Measure of College Quality to Study the Effects of College Sector and Peers on Degree Attainment," Education Finance and Policy, MIT Press, vol. 11(4), pages 369-403, Fall.
    8. Ribas, Rafael P. & Sampaio, Breno & Trevisan, Giuseppe, 2020. "Short- and long-term effects of class assignment: Evidence from a flagship university in Brazil," Labour Economics, Elsevier, vol. 64(C).
    9. Li, Tao & Han, Li & Zhang, Linxiu & Rozelle, Scott, 2014. "Encouraging classroom peer interactions: Evidence from Chinese migrant schools," Journal of Public Economics, Elsevier, vol. 111(C), pages 29-45.
    10. Cunha, Jesse M. & Miller, Trey, 2014. "Measuring value-added in higher education: Possibilities and limitations in the use of administrative data," Economics of Education Review, Elsevier, vol. 42(C), pages 64-77.
    11. Alexandra de Gendre & Nicolás Salamanca, 2020. "On the Mechanisms of Ability Peer Effects," Melbourne Institute Working Paper Series wp2020n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    12. Seki, Mai, 2014. "Heterogeneous Returns to U.S. College Selectivity and the Value of Graduate Degree Attainment," CLSSRN working papers clsrn_admin-2014-53, Vancouver School of Economics, revised 25 Nov 2014.
    13. Andrews, Rodney J. & Imberman, Scott A. & Lovenheim, Michael F., 2020. "Recruiting and supporting low-income, high-achieving students at flagship universities," Economics of Education Review, Elsevier, vol. 74(C).
    14. Long, Mark C., 2010. "Changes in the returns to education and college quality," Economics of Education Review, Elsevier, vol. 29(3), pages 338-347, June.
    15. Drydakis, Nick, 2016. "The effect of university attended on graduates’ labour market prospects: A field study of Great Britain," Economics of Education Review, Elsevier, vol. 52(C), pages 192-208.
    16. Felipe Barrera-Osorio & Hernando Bayona Rodríguez, 2015. "El efecto causal de la asistencia a la universidad sobre la trayectoria educativa y el mercado laboral: Evidencia empírica para Colombia," Documentos CEDE 13549, Universidad de los Andes, Facultad de Economía, CEDE.
    17. 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.
    18. Ashby, Nathan J., 2023. "An examination of peer effects using high school competition realignments," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 122-135.
    19. Howell, Jessica S. & Pender, Matea, 2016. "The costs and benefits of enrolling in an academically matched college," Economics of Education Review, Elsevier, vol. 51(C), pages 152-168.
    20. Hinrichs, Peter, 2014. "Affirmative action bans and college graduation rates," Economics of Education Review, Elsevier, vol. 42(C), pages 43-52.

    More about this item

    Keywords

    Higher Education; Vertical Differentiation; Network Effects;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

    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:tuf:tuftec:0782. 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: Marcus Weir (email available below). General contact details of provider: http://ase.tufts.edu/economics .

    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.