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The Speed of Technological Innovation and Returns to Experience

DC Field Value Language
dc.contributor.advisor류근관-
dc.contributor.author박용준-
dc.date.accessioned2017-07-19T12:36:23Z-
dc.date.available2017-07-19T12:36:23Z-
dc.date.issued2014-08-
dc.identifier.other000000021516-
dc.identifier.urihttps://hdl.handle.net/10371/134637-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 경제학부, 2014. 8. 류근관.-
dc.description.abstractIn this paper, we see that a worker in high-tech industry gets relatively less returns to tenure than those in low-tech industry. Using an earnings equation and classifying industries by their R&D intensity, I calculate returns to tenure and compare them by groups. The result using pooled OLS clearly shows negative impact of interaction between tenure accumulation and the speed of technological advances on wages. On the other hand, with IV-GLS, most coefficients of the tenure related variables are not statistically insignificant and require us further discussion. Many related studies have focuses on either the source of experience profile of wages or the impact of technological innovation on wages but not ones combining the two together. Therefore, although there are a couple of limitations, I believe my paper can have contribution to the labor literature that examines the roles of technological innovation on wages.-
dc.description.tableofcontentsContents
1 Introduction
2 Literature Review
3 Research Method
4 Main Results
5 Conclusion
6 Appendix
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dc.formatapplication/pdf-
dc.format.extent511941 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectReturns to experience-
dc.subjectR&D intensity-
dc.subjectTechnological Innovation-
dc.subjectEarnings equation-
dc.subject.ddc330-
dc.titleThe Speed of Technological Innovation and Returns to Experience-
dc.typeThesis-
dc.description.degreeMaster-
dc.citation.pages34-
dc.contributor.affiliation사회과학대학 경제학부-
dc.date.awarded2014-08-
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