Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper examines the incidence and reasons for moonlighting with a focus on gender differences. The study specifies and estimates a bivariate probit model of labour supply and the decision to hold more than one job. It is found that the factors leading men and women to moonlight are similar. A wage decomposition analysis reveals that 93 percent of the differential between male and female moonlighters' wages is not explained by differences in characteristics, and little connection is found between an individual's human capital and their moonlighting wage. Finally, it is found that moonlighters are less likely to report their income.