IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-09-00394.html
   My bibliography  Save this article

Application of a static game of complete information: economic behaviors of professors and students

Author

Listed:
  • Tin-chun Lin

    (Indiana University - Northwest)

Abstract

The economic behaviors manifested between professors and students may be viewed as a game, with both behaviors endogenously correlated. In this paper, a static game is applied to address this behavior and determine the Nash equilibrium. Both professors and students choose their best strategies (i.e., optimal efforts) to maximize their payoffs. Consequently, theoretical analysis suggests that professor's evaluation and student's grade are endogenously correlated. More importantly, an innovation is offered here that is useful in constructing empirical models for the further investigation of this issue.

Suggested Citation

  • Tin-chun Lin, 2009. "Application of a static game of complete information: economic behaviors of professors and students," Economics Bulletin, AccessEcon, vol. 29(3), pages 1678-1686.
  • Handle: RePEc:ebl:ecbull:eb-09-00394
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2009/Volume29/EB-09-V29-I3-P15.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul W. Grimes & Meghan J. Millea & Thomas W. Woodruff, 2004. "Grades—Who's to Blame? Student Evaluation of Teaching and Locus of Control," The Journal of Economic Education, Taylor & Francis Journals, vol. 35(2), pages 129-147, April.
    2. William E. Becker & William Bosshardt & Michael Watts, 2012. "How Departments of Economics Evaluate Teaching," The Journal of Economic Education, Taylor & Francis Journals, vol. 43(3), pages 325-333, July.
    3. Michael A. McPherson, 2006. "Determinants of How Students Evaluate Teachers," The Journal of Economic Education, Taylor & Francis Journals, vol. 37(1), pages 3-20, January.
    4. Krautmann, Anthony C. & Sander, William, 1999. "Grades and student evaluations of teachers," Economics of Education Review, Elsevier, vol. 18(1), pages 59-63, February.
    5. Paul Isely & Harinder Singh, 2005. "Do Higher Grades Lead to Favorable Student Evaluations?," The Journal of Economic Education, Taylor & Francis Journals, vol. 36(1), pages 29-42, January.
    6. Mason, Paul M. & Steagall, Jeffrey W. & Fabritius, Michael M., 1995. "Student evaluations of faculty: A new procedure for using aggregate measures of performance," Economics of Education Review, Elsevier, vol. 14(4), pages 403-416, December.
    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. Andreja Smole & Timotej Jagrič & Drago Bokal, 2021. "Principal/Two-Agent model with internal signal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 791-808, September.
    2. Tin-chun Lin, 2009. "Implications of grade inflation: knowledge illusion and economic inefficiency in the knowledge market," Economics Bulletin, AccessEcon, vol. 29(3), pages 2314-2324.

    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. Tin-chun Lin, 2009. "Endogenous effects of midterm grades and evaluations: a simultaneous framework," Economics Bulletin, AccessEcon, vol. 29(3), pages 1731-1742.
    2. Tin-chun Lin, 2009. "Implications of grade inflation: knowledge illusion and economic inefficiency in the knowledge market," Economics Bulletin, AccessEcon, vol. 29(3), pages 2314-2324.
    3. Beleche, Trinidad & Fairris, David & Marks, Mindy, 2012. "Do course evaluations truly reflect student learning? Evidence from an objectively graded post-test," Economics of Education Review, Elsevier, vol. 31(5), pages 709-719.
    4. Anne Boring, 2015. "Gender Biases in student evaluations of teachers," Documents de Travail de l'OFCE 2015-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    5. Rieger, Matthias & Voorvelt, Katherine, 2016. "Gender, ethnicity and teaching evaluations: Evidence from mixed teaching teamsAuthor-Name: Wagner, Natascha," Economics of Education Review, Elsevier, vol. 54(C), pages 79-94.
    6. Anna Salomons & Maarten Goos, 2014. "Measuring Teaching Quality in Higher Education : Assessing the Problem of Selection Bias in Course Evaluations," Working Papers 14-16, Utrecht School of Economics.
    7. James F. Ragan & Bhavneet Walia, 2010. "Differences in Student Evaluations of Principles and Other Economics Courses and the Allocation of Faculty across Courses," The Journal of Economic Education, Taylor & Francis Journals, vol. 41(4), pages 335-352, September.
    8. Clifford Nowell, 2007. "The Impact of Relative Grade Expectations on Student Evaluation of Teaching," International Review of Economic Education, Economics Network, University of Bristol, vol. 6(2), pages 42-56.
    9. Gorry, Devon, 2017. "The impact of grade ceilings on student grades and course evaluations: Evidence from a policy change," Economics of Education Review, Elsevier, vol. 56(C), pages 133-140.
    10. Maarten Goos & Anna Salomons, 2017. "Measuring teaching quality in higher education: assessing selection bias in course evaluations," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(4), pages 341-364, June.
    11. Horacio Matos-Díaz & Alfred J. Crouch Ruiz, 2008. "¿Es sesgada la evaluación estudiantil? El caso de la Universidad de Puerto Rico en Bayamón," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 10(18), pages 241-260, January-J.
    12. Wagner, N. & Rieger, M. & Voorvelt, K.J., 2016. "Gender, ethnicity and teaching evaluations : Evidence from mixed teaching teams," ISS Working Papers - General Series 617, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    13. Langbein, Laura, 2008. "Management by results: Student evaluation of faculty teaching and the mis-measurement of performance," Economics of Education Review, Elsevier, vol. 27(4), pages 417-428, August.
    14. Gaviria Alejandro & Alejandro Hoyos, 2008. "Determinantes de los resultados de las evaluaciones de profesores: el caso de la Universidad de los Andes," Revista Desarrollo y Sociedad, Universidad de los Andes - CEDE, March.
    15. De Witte, Kristof & Rogge, Nicky, 2011. "Accounting for exogenous influences in performance evaluations of teachers," Economics of Education Review, Elsevier, vol. 30(4), pages 641-653, August.
    16. Ewing, Andrew M., 2012. "Estimating the impact of relative expected grade on student evaluations of teachers," Economics of Education Review, Elsevier, vol. 31(1), pages 141-154.
    17. De Witte, Kristof & Rogge, Nicky, 2009. "Accounting for exogenous influences in a benevolent performance evaluation of teachers," Working Papers 2009/15, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    18. Donghun Cho & Joonmo Cho, 2017. "Does More Accurate Knowledge of Course Grade Impact Teaching Evaluation?," Education Finance and Policy, MIT Press, vol. 12(2), pages 224-240, Spring.
    19. Horacio Matos-Díaz, 2014. "Measuring grade inflation and grade divergence accounting for student quality," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-16, December.
    20. Bruce A. Weinberg & Belton M. Fleisher & Masanori Hashimoto, 2007. "Evaluating Methods for Evaluating Instruction: The Case of Higher Education," NBER Working Papers 12844, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Economic behavior; Static game; Student evaluations of teaching;
    All these keywords.

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D0 - Microeconomics - - General

    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:ebl:ecbull:eb-09-00394. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: .

    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: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.