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Kompensatorische Lohndifferenziale und der Wert eines statistischen Lebens in Deutschland

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  • Spengler, Hannes

Abstract

Diese Arbeit ist die erste empirische Untersuchung, die den Wert eines statistischen Lebens (WSL) für die Bundesrepublik Deutschland ermittelt. Die Analysen werden auf der Grundlage eines aus IAB-Beschäftigtenstichprobe und Arbeitsunfallinformationen der Berufsgenossenschaften zusammengesetzten Datensatzes durchgeführt. Die Panelschätzungen ergeben einen durchschnittlichen WSL für sozialversicherungspflichtige Arbeitnehmer von 1,65 Mio. Euro. Dieser Wert liegt deutlich unter den zu Vergleichszwecken durchgeführten Querschnittsuntersuchungen (Mittelwert 4,5 Mio. Euro) und legt nahe, dass (auch) die bisherigen Ergebnisse von US-Studien (Median 7 Mio. US-Dollar), die fast ausschließlich auf Querschnittsdaten beruhen, aufgrund der fehlenden Kontrolle unbeobachteter Heterogenität nach oben verzerrt sind. Die ermittelten WSL-Ergebnisse können in Kosten-Nutzen-Analysen von Projekten zur Risikoreduktion z.B. in Gesundheits-, Umwelt-, Verkehrs- und Kriminalpolitik einfließen.

Suggested Citation

  • Spengler, Hannes, 2004. "Kompensatorische Lohndifferenziale und der Wert eines statistischen Lebens in Deutschland," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 37281, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Handle: RePEc:dar:wpaper:37281
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/37281/
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    2. Entorf, Horst, 2007. "Evaluation des Maßregelvollzugs: Grundzüge einer Kosten-Nutzen-Analyse," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35718, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Hannes Spengler & Sandra Schaffner, 2007. "Using Job Changes to Evaluate the Bias of the Value of a Statistical Life," Ruhr Economic Papers 0014, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
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    5. Entorf, Horst & Meyer, Susanne & Möbert, Jochen & Spengler, Hannes, 2005. "Sparzwang und Kriminalitätsrisiko: Gibt es Zusammenhänge? Offene Fragen, und erste Ergebnisse aus einem Forschungsprojekt," ZEW Discussion Papers 05-24, ZEW - Leibniz Centre for European Economic Research.
    6. Dietmar Borst & Ute Werner, 2009. "Schätzung des Risikos der Bevölkerung durch Terroranschläge als Ergänzung für sicherheitsökonomische Betrachtungen," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 78(4), pages 101-118.
    7. Schaffner, Sandra & Spengler, Hannes, 2010. "Using job changes to evaluate the bias of value of a statistical life estimates," Resource and Energy Economics, Elsevier, vol. 32(1), pages 15-27, January.
    8. Spengler, Hannes & Schaffner, Sandra, 2007. "Using Job Changes to Evaluate the Bias of the Value of a Statistical Life," Ruhr Economic Papers 14, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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    10. Olaf J. de Groot, 2012. "Analyzing the costs of military engagement," Economics of Peace and Security Journal, EPS Publishing, vol. 7(2), pages 41-49, July.
    11. Sandra Schaffner & Jochen Kluve, 2007. "Gender Wage Differentials and the Occupational Injury Risk - Evidence from Germany and the US," Ruhr Economic Papers 0028, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    12. Entorf, Horst, 2008. "Wirkung und Effizienz von Strafrecht: "Was geht?" - bei jungen Gewalttätern?," ZEW Discussion Papers 08-056, ZEW - Leibniz Centre for European Economic Research.
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