Inter-industry labor flows

被引：68

作者：

Neffke, Frank M. H. ^{[1
]}

Otto, Anne ^{[2
]}

Weyh, Antje ^{[2
]}

机构：

[1] Harvard Kennedy Sch, Ctr Int Dev, Cambridge, MA 02138 USA

[2] Inst Employment Res IAB, Nurnberg, Germany

来源：

JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION | 2017年 / 142卷

关键词：

Labor mobility; Relatedness; Skills; Regional growth; Germany; Human capital specificity; COMPETITIVE ADVANTAGE; UNITED-STATES; MOBILITY; INDUSTRY; FIRM; RELATEDNESS; KNOWLEDGE; PERFORMANCE; DIVERSIFICATION; SPECIFICITY;

D O I：

10.1016/j.jebo.2017.07.003

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Using German social security data, we study inter-industry labor mobility to assess how industry-specific human capital is and to determine which industries have similar human capital requirements. We find that inter-industry labor flows are highly concentrated in just a handful of industry pairs. Consequently, labor flows connect industries in a sparse network. We interpret this network as an expression of industries similarities in human capital requirements, or skill relatedness. This skill-relatedness network is stable overtime, similar for different types of workers and independent of whether workers switch jobs locally or over larger distances. Moreover, in an application to regional diversification and local industry growth, skill relatedness proves to be more predictive than colocation or value chain relations. To facilitate future research, we make detailed inter-industry relatedness matrices online available. (C) 2017 Published by Elsevier B.V.

引用

页码：275 / 292

页数：18

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