IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/885.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:
  • Amez, Simon
  • Baert, Stijn

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

  • Amez, Simon & Baert, Stijn, 2021. "Bye, bye, Hotel Mama, bye, bye good grades? Living in a student room and exam results in tertiary education," GLO Discussion Paper Series 885, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:885
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/235527/1/GLO-DP-0885.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Simon Amez & Suncica Vujic & Lieven De Marez & Stijn Baert, 2019. "Smartphone Use and Academic Performance: First Evidence from Longitudinal Data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/986, Ghent University, Faculty of Economics and Business Administration.
    11. Pedro de Araujo & James Murray, 2010. "Estimating the effects of dormitory living on student performance," Economics Bulletin, AccessEcon, vol. 30(1), pages 866-878.
    12. 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.
    13. 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.
    14. 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.
    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 & 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).
    2. Simon Amez & Suncica Vujic & Margo Abrath & Stijn Baert, 2021. "Deteriorated sleep quality does not explain the negative impact of smartphone use on academic performance," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1019, Ghent University, Faculty of Economics and Business Administration.
    3. 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).
    4. Perach, Nitsan & Anily, Shoshana, 2022. "Stable matching of student-groups to dormitories," European Journal of Operational Research, Elsevier, vol. 302(1), pages 50-61.
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. Priscilla Rayanne e Silva Noll & Nusa de Almeida Silveira & Matias Noll & Patrícia de Sá Barros, 2016. "High School Students Residing in Educational Public Institutions: Health-Risk Behaviors," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-14, August.
    14. Goller, Daniel & Diem, Andrea & Wolter, Stefan C., 2023. "Sitting next to a dropout: Academic success of students with more educated peers," Economics of Education Review, Elsevier, vol. 93(C).
    15. Brodaty, Thibault & Gurgand, Marc, 2016. "Good peers or good teachers? Evidence from a French University," Economics of Education Review, Elsevier, vol. 54(C), pages 62-78.
    16. Essbaumer, Elisabeth, 2024. "Peer Effects and Social Mobility," Economics Working Paper Series 2401, University of St. Gallen, School of Economics and Political Science.
    17. 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.
    18. 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.
    19. Gordon B. Dahl & Katrine V. L?ken & Magne Mogstad, 2014. "Peer Effects in Program Participation," American Economic Review, American Economic Association, vol. 104(7), pages 2049-2074, July.
    20. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2011. "From Natural Variation to Optimal Policy? The Lucas Critique Meets Peer Effects," NBER Working Papers 16865, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    esidential 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:zbw:glodps:885. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.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.