Student Time Allocation and Educational Production Functions

University of Ancona Department of Economics Working Paper No. 170

30 Pages Posted: 7 Nov 2002

See all articles by Massimiliano Bratti

Massimiliano Bratti

Università degli Studi di Milano - DEAS; Institute for the Study of Labor (IZA); Global Labor Organization (GLO)

Stefano Staffolani

Polytechnic University of Marche - Faculty of Economics

Date Written: July 2002

Abstract

In this paper we aim to remedy some shortcomings in the economic literature on university student absenteeism and academic performance. We start by introducing a simple theoretical model in which students decide the optimal allocation of their time between lecture attendance, self-study and leisure. Under some specific 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 student performance regressions which omit self-study might be biased. Thus, we estimate an academic performance regression using data from first year undergraduate students of economics in the academic year 1998-99 at the University of Ancona (Italy) and find evidence that once self-study time is controlled for, the positive and significant effect of lecture attendance for some courses disappears. This is likely to be 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 on some courses to enhance student performance.

Keywords: course attendance, student performance, time allocation

JEL Classification: I21

Suggested Citation

Bratti, Massimiliano and Staffolani, Stefano, Student Time Allocation and Educational Production Functions (July 2002). University of Ancona Department of Economics Working Paper No. 170, Available at SSRN: https://ssrn.com/abstract=321020 or http://dx.doi.org/10.2139/ssrn.321020

Massimiliano Bratti (Contact Author)

Università degli Studi di Milano - DEAS ( email )

Via Conservatorio, 7
I-20122 Milano
Italy

Institute for the Study of Labor (IZA)

P.O. Box 7240
Bonn, D-53072
Germany

Global Labor Organization (GLO) ( email )

Stefano Staffolani

Polytechnic University of Marche - Faculty of Economics ( email )

Piazzale Martelli, 8
60121 Ancona
Italy