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International Outsourcing and the Demand for Skills Kurt Kratena WP8

International Outsourcing and the Demand for Skills Kurt Kratena WP8. EUKLEMS Consortium Meeting Brussels, 15 - 17 March, 2007. Motivation . Stylized facts:

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International Outsourcing and the Demand for Skills Kurt Kratena WP8

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  1. International Outsourcingand the Demand for Skills Kurt KratenaWP8 EUKLEMS Consortium Meeting Brussels, 15 - 17 March, 2007

  2. Motivation • Stylized facts: • Increase in the wage gap between skilled and unskilled workers (U.S and UK) or employment shifts (increasing unemployment of unskilled) with stable wage structures (continental EU countries) • Increased use of inputs, e.g.: • skilled labour • imported materials • Decreased use of inputs: • Unskilled workers (in particular older workers)

  3. Outsourcing & demand for skills • Methodological questions (Feenstra, Hanson, 2001): (i) single (relative) labour demand functions: Berman, Bound and Griliches, 1994; Feenstra, Hanson (1999), Amiti, Wei (2004). (ii) system of labour demand equations derived from a flexible cost function: Morrison-Paul, Siegel, 2001; Eckholm, Hakkala 2006; Hijzen, Görg and Hine (2005) advantage of (ii): theoretical consistency (elasticities), econometric results based on efficient estimation technique

  4. Outsourcing & demand for skills • Methodological questions (i) outsourcing as a “quasi fixed” factor like factor biased technical change: most studies (ii) outsourcing as a variable factor = imported intermediates: Falk, Koebel 2002; Tombazos, 1999. Measures of outsourcing: (iii) imports of intermediates from the same industry = narrow measure (iv) total imported intermediates (in EUKLEMS without energy!) = broad measure advantage of (ii) over (i) : directly quantifying the role of prices for outsourcing (= substitution).

  5. Outsourcing & demand for skills • Methodological approach • Cost and factor demand functions with different skills of labour and outsourcing as imported intermediates (without energy): (i) own and cross price elasticities (ii) impact of outsourcing on costs (~ productivity) • EU countries: Austria, Finland, Germany, Italy Sweden (geography criterion) • Pooling across countries (not industries)

  6. Outsourcing & demand for skills • Data issues Basic data of EUKLEMS: capital stock gross output inputs of intermediates (values & volumes) inputs of labour (skilled/unskilled, compensation & hours) Additional data from other sources (Eurostat or national): inputs of imported intermediates (values & volumes): (i) full use matrices for imports (ii) import price indices Interpolation of import matrices ?

  7. Outsourcing & demand for skills • Data issues Additional data from other sources by countries Italy: Statistics Italy, WIFO √ Austria: Statistics Austria, WIFO √ Germany: ? Finland: EUKLEMS consortium partner (?) Sweden: Eckholm, Hakkala 2006 (EUKLEMS consortium partner ?), WIFO √

  8. Outsourcing: Methodology • General Translog cost function with i variable factors: i = L (unskilled), H (skilled), MM (imported intermediates), MD (domestic intermediates) and capital stock (xK), gross output (Y) and deterministic trend (t), Berndt, Hesse (1986):

  9. Outsourcing: Methodology • General Translog cost function: homogeneity and constant returns to scale imposed Deriving factor demand (Shephard’s Lemma):

  10. Outsourcing: Methodology • General Translog cost function: homogeneity and constant returns to scale imposed Deriving shadow price of capital (Berndt, Hesse 1986): System estimation (SUR) of: cost function, factor demand and shadow cost equation. Own price elasticity: Cross price elasticity:

  11. Outsourcing: Methodology Impact on costs: Definition of cost equation with input coefficients wi =xi/Y : dynamic cost equation: with Decomposition into: (i) substitution effects (ii) price effects

  12. First empirical results (Austria) • Import matrices for Austria: 1995 , 2000, 2001 • Interpolation of import matrices for 1988 – 2004 (similar to Eckholm, Hakkala 2006): import destination, not constant as in Eckholm, Hakkala (2006) • Import prices based on unit value indices at 3 digit NACE with outlier detection (relative variance of 3 digits within 2 digits industry)

  13. First empirical results (Austria) Stylized facts for Austria 1988 – 2004 1. Input coefficient of imported intermediates

  14. First empirical results (Austria) Stylized facts for Austria 1988 – 2004 2. Input coefficient of unskilled labour

  15. First empirical results (Austria) • Own price elasticities of factor demand

  16. First empirical results (Austria) • Cross price elasticities of labour

  17. First empirical results (Austria) • Unskilled labour and imported intermediates are substitutes in 7 out of 12 manufacturing industries (especially: transport equipment, machinery, textiles) • Skilled labour and imported intermediates are substitutes in almost all manufacturing industries (especially transport equipment, wood, pulp and paper/printing) •  which skill aggregation is appropriate ? (aggegating medium skill category to high or low ?) • Both categories of labour are complements in 5 out of 12 industries • Domestic intermediates are rather a substitute for high skilled labour than for low skilled labour (domestic outsourcing)

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