The Determinants of Moonlighting among Lecturers of State Universities in Cameroon: An Evidence from a Log-Linear Model

Benjamin Yamb


This study seeks to identify the determinants of moonlighting among lecturers of
Cameroonian state universities. To do this, we apply a log-linear model to data from a
random sample survey of lecturers from Cameroonian state universities. The results show
that in addition to the classical determinants of moonlighting (hours of work in the main job,
pay in the primary job, pay in the secondary job) gender and the localization of the university
also play major roles. Descriptive statistics also show that moonlighting lowers the quality of
lectures. Incentives from the government are therefore proposed as a means of reducing the
phenomenon of moonlighting in Cameroonian state universities.

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Copyright (c) 2016 Benjamin Yamb

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Research in Applied Economics ISSN 1948-5433


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