A Negative Binomial Regression Model of Student Absenteeism in the Principles of Microeconomics

Chen Chen; Shih-Shen Chen; Chin W. Yang

doi:10.3390/engproc2023038082

Engineering Proceedings (Jul 2023)

A Negative Binomial Regression Model of Student Absenteeism in the Principles of Microeconomics

Chen Chen,
Shih-Shen Chen,
Chin W. Yang

Affiliations

Chen Chen: College of Economics and Management, Fuzhou University of International Studies and Trade, Fuzhou 350200, China
Shih-Shen Chen: College of Economics and Management, Fuzhou University of International Studies and Trade, Fuzhou 350200, China
Chin W. Yang: Department of Economics, Clarion University of Pennsylvania, Clarion, PA 16214, USA

DOI: https://doi.org/10.3390/engproc2023038082
Journal volume & issue: Vol. 38, no. 1
p. 82

Abstract

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We investigated the determinants of absenteeism in the Principles of Microeconomics at a rural state university in Pennsylvania. We apply Poisson statistics and a negative binomial of both Type 1 and 2 models to estimate absenteeism behavior. All cases have GPA as a significant factor. A higher GPA reduces the absence rate by 3.2574 times in the NB1 model. It was found that business majors cut classes significantly less (26.24%) than education majors.

Published in Engineering Proceedings

ISSN: 2673-4591 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Engineering (General). Civil engineering (General): Engineering machinery, tools, and implements
Website: https://www.mdpi.com/journal/engproc

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