Abstract
There are studies on moonlighting, but literature on moonlighting wages and its determinants is scarce. To know the factors that influence the secondary job payments in government higher education institutions, I took a sample from all the public sector universities in Khyber Pakhtunkhwa Pakistan in multi-stages with a total of 656 teachers. I have collected data from all 656 teachers and separated the sample who was undertaking second jobs or jobs. The activity of keeping a second job is mostly hidden which could only be revealed in an anonymous survey. The model was estimated in ordinary least square linear modelling. However, after solving many specification and BLUE requirements, certain linearity and normality issues could not be resolved, so generalized linear modelling was applied. Results reveal that location, age, hours of work at the second job, and job grades affect secondary job payment significantly. The study suggests cross-occupation studies in continuation of this research.
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