IDEAS home Printed from https://ideas.repec.org/p/rug/rugwps/21-1018.html
   My bibliography  Save this paper

Bye, bye, Hotel Mama, bye, bye good grades? Living in a student room and exam results in tertiary education

Author

Listed:
  • Simon Amez
  • Stijn Baert

Abstract

We study whether living in a student room as a tertiary education student (instead of commuting between one’s parental residence and college or university) affects exam results. To the best of our knowledge, we are the first to study this relationship beyond cross-sectional analysis. That is, we exploit rich longitudinal data on 1,653 Belgian freshmen students’ residential status and exam scores to control for observed heterogeneity as well as for individual fixed (or random) effects. We find that after correcting for unobserved heterogeneity, the association found in earlier contributions disappears. This finding of no significant impact of living in a student room on exam results is robust for other methods used for causal inference including instrumental variable techniques.

Suggested Citation

  • Simon Amez & Stijn Baert, 2021. "Bye, bye, Hotel Mama, bye, bye good grades? Living in a student room and exam results in tertiary education," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1018, Ghent University, Faculty of Economics and Business Administration.
  • Handle: RePEc:rug:rugwps:21/1018
    as

    Download full text from publisher

    File URL: http://wps-feb.ugent.be/Papers/wp_21_1018.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. C. Lockwood Reynolds, 2020. "The Effect of Dormitory Residence during College on Student Outcomes," Journal of Human Capital, University of Chicago Press, vol. 14(2), pages 249-289.
    2. Baert, Stijn & Omey, Eddy & Verhaest, Dieter & Vermeir, Aurélie, 2015. "Mister Sandman, bring me good marks! On the relationship between sleep quality and academic achievement," Social Science & Medicine, Elsevier, vol. 130(C), pages 91-98.
    3. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    4. George D. Kuh & Ty M. Cruce & Rick Shoup & Jillian Kinzie & Robert M. Gonyea, 2008. "Unmasking the Effects of Student Engagement on First-Year College Grades and Persistence," The Journal of Higher Education, Taylor & Francis Journals, vol. 79(5), pages 540-563, September.
    5. Amez, Simon & Vujić, Sunčica & De Marez, Lieven & Baert, Stijn, 2019. "Smartphone Use and Academic Performance: First Evidence from Longitudinal Data," GLO Discussion Paper Series 438, Global Labor Organization (GLO).
    6. 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.
    7. Pedro de Araujo & James Murray, 2010. "Estimating the effects of dormitory living on student performance," Economics Bulletin, AccessEcon, vol. 30(1), pages 866-878.
    8. 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.
    9. Coutts, Steven & Aird, Bria & Mitra, Raktim & Siemiatycki, Matti, 2018. "Does commute influence post-secondary Students' social capital? A study of campus participation at four universities in Toronto, Canada," Journal of Transport Geography, Elsevier, vol. 70(C), pages 172-181.
    10. Stijn Baert & Sunčica Vujić & Simon Amez & Matteo Claeskens & Thomas Daman & Arno Maeckelberghe & Eddy Omey & Lieven De Marez, 2020. "Smartphone Use and Academic Performance: Correlation or Causal Relationship?," Kyklos, Wiley Blackwell, vol. 73(1), pages 22-46, February.
    11. Freier, Ronny & Schumann, Mathias & Siedler, Thomas, 2015. "The earnings returns to graduating with honors — Evidence from law graduates," Labour Economics, Elsevier, vol. 34(C), pages 39-50.
    12. Pedro de Araujo & James Murray, 2010. "Estimating the Effects of Dormitory Living on Student Performance," CAEPR Working Papers 2010-002, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    13. Stinebrickner, Ralph & Stinebrickner, Todd R., 2006. "What can be learned about peer effects using college roommates? Evidence from new survey data and students from disadvantaged backgrounds," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1435-1454, September.
    14. Kobus, Martijn B.W. & Van Ommeren, Jos N. & Rietveld, Piet, 2015. "Student commute time, university presence and academic achievement," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 129-140.
    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. Amez, Simon & Baert, Stijn & Heydencamp, Emily & Wuyts, Joey, 2021. "Does Multitasking Affect Students' Academic Performance? Evidence From a Longitudinal Study," GLO Discussion Paper Series 982, Global Labor Organization (GLO).
    2. Amez, Simon & Vujić, Sunčica & De Marez, Lieven & Baert, Stijn, 2019. "Smartphone Use and Academic Performance: First Evidence from Longitudinal Data," GLO Discussion Paper Series 438, Global Labor Organization (GLO).
    3. Lauren Ratliff Santoro & Jonas B. Bunte, 2023. "What Did You Get? Peers, Information, and Student Exam Performance," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(3), pages 423-450, May.
    4. Amez, Simon & Vujic, Suncica & Abrath, Margo & Baert, Stijn, 2021. "Deteriorated Sleep Quality Does Not Explain the Negative Impact of Smartphone Use on Academic Performance," IZA Discussion Papers 14547, Institute of Labor Economics (IZA).
    5. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2022. "The determinants of university dropout: A review of the socio-economic literature," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    6. Shi Pu & Yu Yan & Liang Zhang, 2020. "Peers, Study Effort, and Academic Performance in College Education: Evidence from Randomly Assigned Roommates in a Flipped Classroom," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(2), pages 248-269, March.
    7. Perach, Nitsan & Anily, Shoshana, 2022. "Stable matching of student-groups to dormitories," European Journal of Operational Research, Elsevier, vol. 302(1), pages 50-61.
    8. Eline Moens & Louis Lippens & Philippe Sterkens & Johannes Weytjens & Stijn Baert, 2022. "The COVID-19 crisis and telework: a research survey on experiences, expectations and hopes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 729-753, June.
    9. 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.
    10. Stijn Baert & Dieter Verhaest, 2021. "Work Hard or Play Hard? Degree Class, Student Leadership and Employment Opportunities," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 1024-1047, August.
    11. 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.
    12. Machin, Stephen & McNally, Sandra & Ruiz-Valenzuela, Jenifer, 2020. "Entry through the narrow door: The costs of just failing high stakes exams," Journal of Public Economics, Elsevier, vol. 190(C).
    13. Judith M. Delaney & Paul J. Devereux, 2020. "How Gender and Prior Disadvantage Predict Performance in College," The Economic and Social Review, Economic and Social Studies, vol. 51(2), pages 189-239.
    14. Lasse Brune & Eric Chyn & Jason Kerwin, 2022. "Peers and Motivation at Work: Evidence from a Firm Experiment in Malawi," Journal of Human Resources, University of Wisconsin Press, vol. 57(4), pages 1147-1177.
    15. Brady, Ryan R. & Insler, Michael A. & Rahman, Ahmed S., 2017. "Bad Company: Understanding negative peer effects in college achievement," European Economic Review, Elsevier, vol. 98(C), pages 144-168.
    16. David Card & Laura Giuliano, 2013. "Peer Effects and Multiple Equilibria in the Risky Behavior of Friends," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1130-1149, October.
    17. Christos Genakos & Eleni Kyrkopoulou, 2022. "Social policy gone bad educationally: unintended peer effects from transferred students," CEP Discussion Papers dp1851, Centre for Economic Performance, LSE.
    18. Frijters, Paul & Islam, Asad & Pakrashi, Debayan, 2019. "Heterogeneity in peer effects in random dormitory assignment in a developing country," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 117-134.
    19. Dennis Epple & Richard Romano & Sinan Sarpça & Holger Sieg & Melanie Zaber, 2019. "Market power and price discrimination in the US market for higher education," RAND Journal of Economics, RAND Corporation, vol. 50(1), pages 201-225, March.
    20. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.

    More about this item

    Keywords

    residential status; exam scores; longitudinal data; causality.;
    All these keywords.

    JEL classification:

    • 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

    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:rug:rugwps:21/1018. 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: Nathalie Verhaeghe (email available below). General contact details of provider: https://edirc.repec.org/data/ferugbe.html .

    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.