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Explaining the "Identifiable Victim Effect."

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Author Info
Jenni, Karen E
Loewenstein, George

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Abstract

It is widely believed that people are willing to expend greater resources to save the lives of identified victims than to save equal numbers of unidentified or statistical victims. There are many possible causes of this disparity which have not been enumerated previously or tested empirically. We discuss four possible causes of the "identifiable victim effect" and present the results of two studies which indicate that the most important cause of the disparity in treatment of identifiable and statistical lives is that, for identifiable victims, a high proportion of those at risk can be saved. Copyright 1997 by Kluwer Academic Publishers

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Publisher Info
Article provided by Springer in its journal Journal of Risk and Uncertainty.

Volume (Year): 14 (1997)
Issue (Month): 3 (May-June)
Pages: 235-57
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Handle: RePEc:kap:jrisku:v:14:y:1997:i:3:p:235-57

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  1. Georges Dionne & Paul Lanoie, 2002. "How to Make a Public Choice About the Value of a Statistical Life: The Case of Road Safety," Cahiers de recherche 02-04, HEC Montréal, Institut d'économie appliquée. [Downloadable!]
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  2. Tehila Kogut & Ruth Beyth-Marom, 2008. "Who helps more? How self-other discrepancies influence decisions in helping situations," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 3(8), pages 595-606, December. [Downloadable!]
  3. Winslott Hiselius, Lena, 2003. "The Value of Road and Railway Safety - an Overview," Working Papers 2003:13, Lund University, Department of Economics. [Downloadable!]
  4. Stephan Dickert & Paul Slovic, 2009. "Attentional mechanisms in the generation of sympathy," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(4), pages 297-306, June. [Downloadable!]
  5. Werner Gueth & M. Vittoria Levati & Matteo Ploner, 2007. "Let Me See You! A Video Experiment on the Social Dimension of Risk Preferences," Jena Economic Research Papers in Economics 2007-005, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics, Thueringer Universitaets- und Landesbibliothek. [Downloadable!]
  6. HAMMITT James K & TREICH Nicolas, 2006. "Statistical vs. Identified Lives in Benefit-Cost Analysis," Working Papers 06.11.204, LERNA, University of Toulouse. [Downloadable!]
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  7. Iris Bohnet & Bruno S. Frey, 1999. "Social Distance and Other-Regarding Behavior in Dictator Games: Comment," American Economic Review, American Economic Association, vol. 89(1), pages 335-339, March. [Downloadable!] (restricted)
  8. Frey, Bruno S. & Meier, Stephan, 2002. "Pro-Social Behavior, Reciprocity or Both?," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
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  9. Paul Dolan & Jan Abel Olsen & Paul Menzel & Jeff Richardson, 2003. "An inquiry into the different perspectives that can be used when eliciting preferences in health," Health Economics, John Wiley & Sons, Ltd., vol. 12(7), pages 545-551. [Downloadable!]
  10. Jennifer Amsterlaw & Brian Zikmund-Fisher & Angela Fagerlin & Peter A. Ubel, 2006. "Can avoidance of complications lead to biased healthcare decisions?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 1, pages 64-75, July. [Downloadable!]
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