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What drives the vacancy rate for information technology workers?

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  • Falk, Martin

Abstract

This paper provides empirical evidence on both the magnitude and determinants of unfilled positions for information technology workers using cross-sectional data on 4150 German firms. Vacancies are defined as unfilled positions excluding those created by replacement needs during the first half of the year 2000. The share of unfilled positions created by replacement needs is only about 20 percent, indicating that high turnover rates are not the main reason for high vacancy rates. The adjusted job vacancy rate for ICT workers varies between 5.7 percent in the ICT sector and 6.7 percent in the non-ICT sector. The results of a generalized tobit model show that the adjusted vacancy rate mainly depends on the firm size, the share of ICT workers and actions taken in the past to solve the ICT worker shortage but not on the diffusion of ICT. In the ICT sector, the decision made in the past to train apprentices in the new ICT occupations seems to have reduced the current vacancy rate. In the non-ICT sector, a successful strategy to solve the ICT worker shortage appears to be increased internal training. Finally, in the non-ICT sector, the common practice of completely outsourcing software programming significantly reduces the probability of unfilled positions. -- Dieser Beitrag beschäftigt sich mit der Anzahl und den Bestimmungsfaktoren unbesetzter Stellen für IKT-Fachkräfte in Deutschland. Datengrundlage ist eine repräsentative telefongestützte (CATI) Umfrage von 4150 Unternehmen für das Jahr 2000. Die Quote unbesetzter Stellen für IKT-Fachkräfte (ohne Stellen aufgrund Ersatzbedarfs) variiert zwischen 5,7 Prozent in der IKT-Branche und 6,7 Prozent in der Nicht-IKT-Branche. Der Anteil fluktuationsbedingt unbesetzter Stellen an allen unbesetzten Stellen beträgt 20 Prozent. Somit dürfte die Personalfluktuation der IKT-Fachkräfte nicht die Hauptursache für die hohe Quote unbesetzter Stellen sein. Regressionsergebnisse auf Basis verallgemeinerter tobit-Modelle zeigen, dass die Quote unbesetzter Stellen hauptsächlich von der Firmengröße, dem Anteil der IKT-Fachkräfte im Vorjahr sowie den Strategien zur Überwindung des IKTFachkräftemangels in der Vergangenheit abhängen, jedoch von der Diffusion der Informationstechnologie nicht beeinflusst werden. Hinsichtlich der Wahrscheinlichkeit unbesetzter Stellen zeigt sich, dass die Auslagerung der Software-programmierung an Fremdunternehmen zu einer geringeren Betroffenheit von unbesetzten Stellen für IKT-Fachkräfte führt.

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Bibliographic Info

Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 01-43.

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Date of creation: 2001
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Handle: RePEc:zbw:zewdip:5398

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Keywords: unbesetzte Stellen; IKT-Fachkräfte; Informationstechnologie; Unfilled positions; ICT workers; information technology;

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References

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  1. John P. Haisken-DeNew & Christoph M. Schmidt, 1999. "Money for Nothing and Your Chips for Free?: The Anatomy of the PC Wage Differential," Discussion Papers of DIW Berlin 178, DIW Berlin, German Institute for Economic Research.
  2. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 1999. "Information Technology, Workplace Organization and the Demand for Skilled Labor: Firm-Level Evidence," NBER Working Papers 7136, National Bureau of Economic Research, Inc.
  3. Christoph Schmidt & Klaus Zimmerman, 1990. "Work Characteristics, Firm Size and Wages," Working Papers 644, Princeton University, Department of Economics, Industrial Relations Section..
  4. Poirier, Dale J., 1980. "Partial observability in bivariate probit models," Journal of Econometrics, Elsevier, vol. 12(2), pages 209-217, February.
  5. Abraham, Katharine G, 1983. "Structural-Frictional vs. Deficient Demand Unemployment: Some New Evidence," American Economic Review, American Economic Association, vol. 73(4), pages 708-24, September.
  6. Haskel, Jonathan & Martin, Christopher, 2001. "Technology, Wages, and Skill Shortages: Evidence from UK Micro Data," Oxford Economic Papers, Oxford University Press, vol. 53(4), pages 642-58, October.
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Cited by:
  1. Engel, Dirk, 2002. "Welche Regionen profitieren von Venture Capital-Aktivitäten?," ZEW Discussion Papers 02-37, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.

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