Abstract
The main objective of this study is to investigate the determinants of moonlighting in
public sector universities of KP. A multi-staged sampling was used for data collection. In
the first stage, the population was stratified into rural, semi-urban and urban universities
and 9 universities were purposively selected. In the second stage, in each selected
university teaching faculty was further stratified into Professors, Associate Professors,
Assistant Professors, Lecturers and Teaching Assistants. In the third stage, a sample of
656 faculty members was selected using simple random sampling and proportional
allocation method. Binary Logistic regression model was used as the dependent variable
was of dichotomous nature (moonlighting vs. no moonlighting). Wage rate of second
job, accumulative wage of more than one second jobs, employment status and cadre,
hours of work at second job, location and marital status were found significant in
determining moonlighting. Based on its findings, the study recommended that
moonlighting may be encouraged which may not only enhance moonlighter’s income but
also their efficiency. The study also recommended that studies on moonlighting in other
sectors may also be conducted which could help policy planners, researchers and other
stack holders.
Noor Jehan, Himayatullah Khan. (2016) Economic Analysis of Moonlighting in Higher Education Institutes of Khyber Pakhtunkhwa, The Journal of Humanities & Social Sciences, Volume-24, Issue-2.
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