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What is Assumed in the GTAP Database's Disaggregation of Labor by Skill Level?

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  • Gouranga Gopal Das

Abstract

The 45 region by 50 commodity by 5 primary factor version of the GTAP database provides us with the splits of total labor payments into two categories, viz. skilled and unskilled labor in each sector. The decomposition of total labor payments in all sectors and all regions according to differentials in the skill content of the labor force presupposes substitution possibilities between these two categories of labor. Our interest is to explore the elasticity of substitution implicit in this disaggregation of occupation types. Given the skilled labor payment shares (as calculated from the GTAP database), we offer an ex post rationalization of them within a production-theoretic framework, thereby deriving estimates of the elasticity of substitution between skilled and unskilled labor. The adoption of a suitable nesting of skilled and unskilled labor in GTAP's production function enables us to find a 'reasonable' value for the substitution elasticity that is implicit between the two categories of labor in the GTAP database. This relies on the inter-regional covariation in the GTAP shares and in measures of educational attainment.

Suggested Citation

  • Gouranga Gopal Das, 1999. "What is Assumed in the GTAP Database's Disaggregation of Labor by Skill Level?," Centre of Policy Studies/IMPACT Centre Working Papers ip-75, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:ip-75
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    References listed on IDEAS

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    1. Nehru, Vikram & Swanson, Eric & Dubey, Ashutosh, 1995. "A new database on human capital stock in developing and industrial countries: Sources, methodology, and results," Journal of Development Economics, Elsevier, vol. 46(2), pages 379-401, April.
    2. Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
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    More about this item

    Keywords

    Elasticity of substitution; Educational attainment; Skilled;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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