Disaggregating Labor Payments by Skill Level in GTAP

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

GTAP Technical Papers from Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University

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.

Date: 1998
Note: GTAP Technical Paper No. 11
References: Add references at CitEc
Citations: View citations in EconPapers (46)

Downloads: (external link)
https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=314 (text/html)

Related works:
Working Paper: DISAGGREGATING LABOR PAYMENTS BY SKILL LEVEL IN GTAP (1998)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gta:techpp:314

Access Statistics for this paper

More papers in GTAP Technical Papers from Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University Contact information at EDIRC.
Bibliographic data for series maintained by Jeremy Douglas ().