IDEAS home Printed from https://ideas.repec.org/a/adr/anecst/y2013i111-112p103-140.html

Student Time Allocation and Educational Production Functions

Author

Listed:
  • Massimiliano Bratti
  • Stefano Staffolani

Abstract

In this paper we investigate the effect of lecture attendance and self-study on undergraduate students' academic performance. We first introduce a simple theoretical model in which students decide the optimal allocation of their time between lecture attendance, self-study and leisure. Under some assumptions, we find a positive relationship between lecture attendance and time devoted to self-study in each course, from which we infer that estimates of the elasticity of student performance with respect to attendance which omit time devoted to self-study might be upward biased. We then estimate an academic performance regression using data from first-year undergraduate students of economics in the academic year 1998-99 at the Marche Polytechnic University (Italy) and find evidence that once self-study time is controlled for, the positive effect of lecture attendance on performance generally falls, and becomes statistically insignificant for most courses, except for "quantitative" ones (mathematics and economics). Our findings are important, especially when student performance regressions are used to evaluate the effectiveness of course attendance, and to inform the debate on the introduction of mandatory attendance policies.

Suggested Citation

  • Massimiliano Bratti & Stefano Staffolani, 2013. "Student Time Allocation and Educational Production Functions," Annals of Economics and Statistics, GENES, issue 111-112, pages 103-140.
  • Handle: RePEc:adr:anecst:y:2013:i:111-112:p:103-140
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/23646328
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:adr:anecst:y:2013:i:111-112:p:103-140. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Secretariat General or Laurent Linnemer (email available below). General contact details of provider: https://edirc.repec.org/data/ensaefr.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.