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http://dx.doi.org/10.14400/JDC.2022.20.4.001

Determinants of Wage for Web-based Platform Workers: In perspective of evaluation by previous employers  

Lim, Jisun (Division of Economics and Law, Korea Military Academy)
Publication Information
Journal of Digital Convergence / v.20, no.4, 2022 , pp. 1-14 More about this Journal
Abstract
The purpose of this study was to find the wage determinants of web-based platform workers. For this purpose, a total of 3,575 web-based platform workers' information from Freelancer.com, a global platform labor market, in September 2018 were used and whether or not newly available indicators such as evaluations by previous employers had a significant effect on the wage increase of platform workers using OLS and QR methods. As an OLS estimation results, the number of reviews, as well as education and experience, affects the wages of platform workers. However, as a result of the QR estimation, experience rather than education, recommendation rather than a review has a more significant effect on the wage of web-based platform workers as the wage level rises.
Keywords
Web-based platform workers; Wage; Determinants; Review; Recommendation;
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