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Labor shortage and innovation

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  • Horbach, Jens
  • Rammer, Christian

Abstract

Skilled labor is a key input to the innovation process. A shortage in supply of skilled labor may hence impede innovation activities, resulting in lower productivity gains. While governments are concerned about these likely negative impacts, there is only limited empirical evidence whether and to what extent labor shortage affects innovation activities. The paper addresses this question using panel data from three waves (2017 to 2019) of the German innovation survey. We measure labor shortage by job openings that could not be filled at all, not with the required skills or only with significant delay, distinguishing different skill levels. We analyze whether labor shortage resulted in stopping or abandoning of innovation projects. Endogeneity issues are tackled by instrumental variable estimation techniques. Our results show that innovative firms are more likely to be subject to skill shortage, whereas skill shortage induces the cancelation of innovation projects. Effects are stronger for labor shortage related to professional occupations and less for academic qualifications.

Suggested Citation

  • Horbach, Jens & Rammer, Christian, 2020. "Labor shortage and innovation," ZEW Discussion Papers 20-009, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:20009
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    More about this item

    Keywords

    community Innovation Survey; labor shortage; innovation; probit instrumental variable estimation;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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