IDEAS home Printed from https://ideas.repec.org/a/wly/soecon/v80y2014i3p816-838.html
   My bibliography  Save this article

The Effect of Peer and Professor Gender on College Student Performance

Author

Listed:
  • Benjamin Artz
  • David M. Welsch

Abstract

The effects of peer and professor gender on student performance have been examined separately but not in conjunction. We augment previous research by including peer and professor gender, as well as their interaction, in estimations of student performance. After controlling for both student and faculty fixed effects we find that female students typically perform better than males, but this performance gap varies depending on the gender of the professor and of the classroom. Overall the effect of professor gender on student performance is small at best if classrooms are predominantly female and much larger if classrooms are predominantly male.

Suggested Citation

  • Benjamin Artz & David M. Welsch, 2014. "The Effect of Peer and Professor Gender on College Student Performance," Southern Economic Journal, John Wiley & Sons, vol. 80(3), pages 816-838, January.
  • Handle: RePEc:wly:soecon:v:80:y:2014:i:3:p:816-838
    DOI: 10.4284/0038-4038-2012.158
    as

    Download full text from publisher

    File URL: https://doi.org/10.4284/0038-4038-2012.158
    Download Restriction: no

    File URL: https://libkey.io/10.4284/0038-4038-2012.158?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. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2013. "Under Pressure? The Effect of Peers on Outcomes of Young Adults," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 119-153.
    2. Sund, Krister, 2009. "Estimating peer effects in Swedish high school using school, teacher, and student fixed effects," Economics of Education Review, Elsevier, vol. 28(3), pages 329-336, June.
    3. Scott E. Carrell & Marianne E. Page & James E. West, 2010. "Sex and Science: How Professor Gender Perpetuates the Gender Gap," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1101-1144.
    4. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    5. Thompson, Samuel B., 2011. "Simple formulas for standard errors that cluster by both firm and time," Journal of Financial Economics, Elsevier, vol. 99(1), pages 1-10, January.
    6. Petra E. Todd & Kenneth I. Wolpin, 2007. "The Production of Cognitive Achievement in Children: Home, School, and Racial Test Score Gaps," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 91-136.
    7. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 238-249, April.
    8. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    9. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 107, University of California, Davis, Department of Economics.
    10. Thomas S. Dee, 2005. "A Teacher Like Me: Does Race, Ethnicity, or Gender Matter?," American Economic Review, American Economic Association, vol. 95(2), pages 158-165, May.
    11. Robert W. Fairlie & Florian Hoffmann & Philip Oreopoulos, 2014. "A Community College Instructor Like Me: Race and Ethnicity Interactions in the Classroom," American Economic Review, American Economic Association, vol. 104(8), pages 2567-2591, August.
    12. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    13. Ronald G. Ehrenberg & Daniel D. Goldhaber & Dominic J. Brewer, 1995. "Do Teachers' Race, Gender, and Ethnicity Matter? Evidence from the National Educational Longitudinal Study of 1988," ILR Review, Cornell University, ILR School, vol. 48(3), pages 547-561, April.
    14. Tim R. Sass, 2006. "Charter Schools and Student Achievement in Florida," Education Finance and Policy, MIT Press, vol. 1(1), pages 91-122, January.
    15. Roland G. Fryer & Steven D. Levitt, 2010. "An Empirical Analysis of the Gender Gap in Mathematics," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 210-240, April.
    16. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    17. Devin G. Pope & Justin R. Sydnor, 2010. "Geographic Variation in the Gender Differences in Test Scores," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 95-108, Spring.
    18. Victor Lavy & Analía Schlosser, 2011. "Corrigendum: Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 268-268, July.
    19. Ladd, Helen F. & Walsh, Randall P., 2002. "Implementing value-added measures of school effectiveness: getting the incentives right," Economics of Education Review, Elsevier, vol. 21(1), pages 1-17, February.
    20. Holmlund, Helena & Sund, Krister, 2008. "Is the gender gap in school performance affected by the sex of the teacher," Labour Economics, Elsevier, vol. 15(1), pages 37-53, February.
    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. Arceo-Gomez, Eva O. & Campos-Vazquez, Raymundo M., 2022. "Gender Bias in Evaluation Processes," Economics of Education Review, Elsevier, vol. 89(C).
    2. Kenneth Khoo & Jaclyn Neo, 2023. "Gender gaps in legal education: The impact of class participation assessments," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(4), pages 1070-1137, December.

    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. Eisenkopf, Gerald & Hessami, Zohal & Fischbacher, Urs & Ursprung, Heinrich W., 2015. "Academic performance and single-sex schooling: Evidence from a natural experiment in Switzerland," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 123-143.
    2. Doris, Aedín & O’Neill, Donal & Sweetman, Olive, 2013. "Gender, single-sex schooling and maths achievement," Economics of Education Review, Elsevier, vol. 35(C), pages 104-119.
    3. Dustmann, Christian & Ku, Hyejin & Kwak, Do Won, 2018. "Why Are Single-Sex Schools Successful?," Labour Economics, Elsevier, vol. 54(C), pages 79-99.
    4. Simone Balestra & Aurélien Sallin & Stefan C. Wolter, 2023. "High-Ability Influencers? The Heterogeneous Effects of Gifted Classmates," Journal of Human Resources, University of Wisconsin Press, vol. 58(2), pages 633-665.
    5. Benjamin Artz & David M. Welsch, 2013. "The Effect of Student Evaluations on Academic Success," Education Finance and Policy, MIT Press, vol. 8(1), pages 100-119, January.
    6. Lusher, Lester & Campbell, Doug & Carrell, Scott, 2018. "TAs like me: Racial interactions between graduate teaching assistants and undergraduates," Journal of Public Economics, Elsevier, vol. 159(C), pages 203-224.
    7. Robert W. Fairlie & Florian Hoffmann & Philip Oreopoulos, 2014. "A Community College Instructor Like Me: Race and Ethnicity Interactions in the Classroom," American Economic Review, American Economic Association, vol. 104(8), pages 2567-2591, August.
    8. Kato, Takao & Song, Yang, 2018. "An Advisor like Me: Does Gender Matter?," IZA Discussion Papers 11575, Institute of Labor Economics (IZA).
    9. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    10. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    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. Delaney, Judith M. & Devereux, Paul J., 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," IZA Discussion Papers 14074, Institute of Labor Economics (IZA).
    13. Rodríguez-Planas, Nuria & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2022. "Gender norms in high school: Impacts on risky behaviors from adolescence to adulthood," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 429-456.
    14. Takao Kato & Yang Song, 2022. "Advising, gender, and performance: Evidence from a university with exogenous adviser–student gender match," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 121-141, January.
    15. Karthik Muralidharan & Ketki Sheth, 2016. "Bridging Education Gender Gaps in Developing Countries: The Role of Female Teachers," Journal of Human Resources, University of Wisconsin Press, vol. 51(2), pages 269-297.
    16. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    17. Claudia Olivetti & Eleonora Patacchini & Yves Zenou, 2020. "Mothers, Peers, and Gender-Role Identity," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 266-301.
    18. Pregaldini, Damiano & Backes-Gellner, Uschi & Eisenkopf, Gerald, 2020. "Girls’ preferences for STEM and the effects of classroom gender composition: New evidence from a natural experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 102-123.
    19. Dewan, Prerna & Ray, Tridip & Roy Chaudhuri, Arka & Tater, Kirti, 2024. "Gender peer effects in high schools: Evidence from India," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 470-494.
    20. Puhani, Patrick A., 2018. "Do boys benefit from male teachers in elementary school? Evidence from administrative panel data," Labour Economics, Elsevier, vol. 51(C), pages 340-354.

    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:soecon:v:80:y:2014:i:3:p:816-838. 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/10.1002/(ISSN)2325-8012 .

    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.