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Disaggregating Labor Payments by Skill Level in GTAP Author info | Abstract | Publisher info | Download info | Related research | Statistics Liu, Jing
Nico van Leeuwen
Tri Thanh Vo
Rod Tyers
Thomas W. Hertel
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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.
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Paper provided by Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University in its series GTAP Technical Papers with number
314.
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Date of creation: 1998Date of revision:
Handle: RePEc:gta:techpp:314Note: GTAP Technical Paper No. 11Contact details of provider: Postal: 1145 Krannert Building, West Lafayette, IN 47907-1145 Phone: (765) 494-4267 Web page: http://www.gtap.agecon.purdue.edu/ More information through EDIRC
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