Article Fingerprint
ReserarchID
69F63
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
This paper attempted to assess the attitudes of students in
Advances in technology have created the potential for a new
Inclusion has become a priority on the global educational agenda,
Conventional estimation methods on analyzing gender pay gap focus on comparing the earnings premium and gender inequality from the view of mean earnings distribution, highlighting human capital factors (e.g. education attainment, career training). However, mean distribution analysis do not reflect the whole perspective of gender earnings. Therefore, in our study, we adopt quantile regression estimation method to measure the impact of human capital (e.g. returns to education) and other social characteristics factors on wage. In addition, Melly2006 wage decomposition method is employed to reveal the pattern of gender earnings gap through overall distributions. We verified the evidence of ‘glass ceiling effect’ phenomenon in Korean labor market. The finds of our study also imply the female’s returns to education are higher than male, and the magnitude is even higher for upper earnings distribution. Furthermore, the estimation results of conditional and unconditional quantile regression present the differential of human capital variables occupy a big part of the explanatory on gender wage gap.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
