Replication Data for: Quantitative Insights into the Gender Wage Gap in Bangladesh's Online Freelance Marketplace

This dataset was collected as part of a study investigating the gender pay gap in the freelancing sector of Bangladesh, with a particular focus on the online platform, Freelancer.com. The dataset consists of self-reported data from 210 randomly selected freelancers, who were among the top search results with good reviews on the platform. The data were collected directly from the profiles of these freelancers, and the link to each profile is included in the dataset. The dataset provides comprehensive information about each freelancer, including their gender, hourly payment rate, number of reviews, number of recommendations, job completion rate, budget adherence rate, on-time delivery rate, repeat hire rate, payment verification status, total work experience, location, membership type, monthly investment on Freelancer.com, type of work, type of education, institution name, degree name, education level, years of education, and preferred freelancer status. The purpose of this dataset is to provide insights into the relationship between these factors and the hourly earnings of freelancers, with a particular emphasis on exploring any disparities between male and female freelancers. The scope of the dataset extends to the digital gig economy in Bangladesh, and its nature is quantitative. This dataset is intended for use in further research aiming to understand the complexities of the gender pay gap in the freelancing sector, and to devise effective strategies to bridge this gap.