DISAGGREGATING LABOR PAYMENTS BY SKILL LEVEL IN GTAP

Jing Liu, Nico van Leeuwen, Tri Thanh Vo, Rodney Tyers and Thomas Hertel

No 28722, Technical Papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project

Abstract: This paper outlines an approach to disaggregating labor payments in the GTAP, global economic data base. The split between low- and high-skilled labor is based on occupational data. High-skilled labor is assumed to consist of managers, administrators, professionals, and para-professionals. Data are gathered on this occupational split, by sector, in fifteen different economies, and these are mapped to GTAP sectors. Regression analysis shows a systematic relationship between GDP per capita and the national stock of tertiary and secondary educated labor on the one hand, and the sectoral labor payments split on the other. This model is used to predict labor splits, by sector, in the remaining GTAP regions. The results are evaluated in terms of the implied economywide skilled -unskilled labor payment ratio. Overall, the results seem promising enough to warrant inclusion in the GTAP, version 4 data base.

Keywords: International Relations/Trade; Labor and Human Capital (search for similar items in EconPapers)
Pages: 63
Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (42)

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https://ageconsearch.umn.edu/record/28722/files/tp11.pdf (application/pdf)

Related works:
Working Paper: Disaggregating Labor Payments by Skill Level in GTAP (1998)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:pugttp:28722

DOI: 10.22004/ag.econ.28722

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