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Existing studies on the impact of outsourcing on relative wages and the demand for skilled workers mainly focus on aggregate outsourcing, in which imported intermediate inputs are used as a proxy. We depart from the existing studies by focusing on various types of outsourcing based on the six-digit NAICS U.S. manufacturing data. We show that downstream materials and service outsourcing are skill biased, whereas upstream materials outsourcing is not. We also produce other supplementary results pertaining to the impact of technology, different capital inputs on relative wages, and the demand for skilled workers. ( JEL C33, F14, F15) 相似文献
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Local Influence in Generalized Estimating Equations 总被引:1,自引:0,他引:1
KANG-MO JUNG 《Scandinavian Journal of Statistics》2008,35(2):286-294
Abstract. We investigate the influence of subjects or observations on regression coefficients of generalized estimating equations (GEEs) using local influence. The GEE approach does not require the full multivariate distribution of the response vector. We extend the likelihood displacement to a quasi-likelihood displacement, and propose local influence diagnostics under several perturbation schemes. An illustrative example in GEEs is given and we compare the results using the local influence and deletion methods. 相似文献
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There is now ample evidence that jobs and wages have been polarizing at the extremes of the skill distribution since the early 1990s. Possible explanations include, among others, routinization‐biased technical change (technical progress substituting more easily for labor in performing routine rather than nonroutine tasks) and globalization (more specifically, offshore outsourcing by multinational firms). In this article, we develop a unified theoretical general equilibrium model and examine the implications of each competing hypotheses for labor market polarization. (JEL J21, J23, J24, F66) 相似文献
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