IDEAS home Printed from https://ideas.repec.org/p/hhs/oruesi/2010_014.html
   My bibliography  Save this paper

The Economic Value of Preventing Fatalities: Recent evidence on the value of a statistical life in Sweden

Author

Listed:
  • Hultkrantz, Lars

    (Department of Business, Economics, Statistics and Informatics)

  • Svensson, Mikael

    (Department of Business, Economics, Statistics and Informatics)

Abstract

Aims: This paper briefly reviews the theoretical and empirical foundation for the economic valuation of preventing fatalities, referred to as the value of a statistical life (VSL), and summarizes recent published empirical evidence on VSL in Sweden. Methods: Literature searches were conducted in Econlit, Pubmed, Google Scholar and in bibliographies of published papers. Results: A total of nine published papers on the value of preventing fatalities in Sweden where identified since year 2000. Most studies have been conducted in a road-safety context, which may be explained by the widespread use of economic evaluations in this sector. Preferred policy estimates of the value of a statistical life in the road sector ranges from 13 to 57 million Swedish kronor (€1.4 to €6.1 million). Currently, official authorities in Sweden recommend a VSL of 22 million Swedish kronor (€2.4 million). Conclusion: In order to conduct an economic evaluation of a life-saving intervention it is necessary to have an explicit economic value of a prevented fatality. Empirical research on Swedish data suggests that an appropriate value is in the range of 13 to 57 million Swedish kronor (€1.4 to €6.1 million).

Suggested Citation

  • Hultkrantz, Lars & Svensson, Mikael, 2010. "The Economic Value of Preventing Fatalities: Recent evidence on the value of a statistical life in Sweden," Working Papers 2010:14, Örebro University, School of Business.
  • Handle: RePEc:hhs:oruesi:2010_014
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Lars Hultkrantz & Gunnar Lindberg & Camilla Andersson, 2006. "The value of improved road safety," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 151-170, March.
    2. Henrik Andersson & Nicolas Treich, 2011. "The Value of a Statistical Life," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 17, Edward Elgar Publishing.
    3. Fredrik Carlsson & Olof Johansson-Stenman & Peter Martinsson, 2004. "Is Transport Safety More Valuable in the Air?," Journal of Risk and Uncertainty, Springer, vol. 28(2), pages 147-163, March.
    4. Svensson, Mikael & Vredin Johansson, Maria, 2007. "Willingness to Pay for Private and Public Safety: Why the Difference?," Working Papers 2007:2, Örebro University, School of Business.
    5. Karen Blumenschein & Glenn C. Blomquist & Magnus Johannesson & Nancy Horn & Patricia Freeman, 2008. "Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment," Economic Journal, Royal Economic Society, vol. 118(525), pages 114-137, January.
    6. Andersson, Henrik & Lindberg, Gunnar, 2007. "Benevolence and the value of road safety," Working Papers 2007:4, Swedish National Road & Transport Research Institute (VTI), revised 04 Jun 2008.
    7. Arianne de Blaeij & Raymond J.G.M. Florax & Piet Rietveld & Erik T. Verhoef, 2000. "The Value of Statistical Life in Road Safety: A Meta-Analysis," Tinbergen Institute Discussion Papers 00-089/3, Tinbergen Institute.
    8. Fredrik Carlsson & Dinky Daruvala & Henrik Jaldell, 2010. "Value of Statistical Life and Cause of Accident: A Choice Experiment," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 975-986, June.
    9. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    10. Krüger, Niclas A. & Svensson, Mikael, 2009. "The impact of real options on willingness to pay for mortality risk reductions," Journal of Health Economics, Elsevier, vol. 28(3), pages 563-569, May.
    11. Harrison, Glenn W. & Rutström, E. Elisabet, 2008. "Experimental Evidence on the Existence of Hypothetical Bias in Value Elicitation Methods," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 81, pages 752-767, Elsevier.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hultkrantz, Lars & Svensson, Mikael, 2012. "The value of a statistical life in Sweden: A review of the empirical literature," Health Policy, Elsevier, vol. 108(2), pages 302-310.
    2. Henrik Andersson & Nicolas Treich, 2011. "The Value of a Statistical Life," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 17, Edward Elgar Publishing.
    3. Dorte Gyrd-Hansen, 2013. "Using the Stated Preference Technique for Eliciting Valuations: The Role of the Payment Vehicle," PharmacoEconomics, Springer, vol. 31(10), pages 853-861, October.
    4. Henrik Andersson & James K. Hammitt & Kristian Sundström, 2015. "Willingness to Pay and QALYs: What Can We Learn about Valuing Foodborne Risk?," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(3), pages 727-752, September.
    5. Andersson, Henrik, 2013. "Consistency in preferences for road safety: An analysis of precautionary and stated behavior," Research in Transportation Economics, Elsevier, vol. 43(1), pages 41-49.
    6. Thijs Dekker & Roy Brouwer & Marjan Hofkes & Klaus Moeltner, 2011. "The Effect of Risk Context on the Value of a Statistical Life: a Bayesian Meta-model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 597-624, August.
    7. Hultkrantz, Lars & Shengcong, Xue, 2009. "Mitigating Hypothetical Bias in Value of Time Studies: Lab-Experiment Results," Working Papers 2009:14, Örebro University, School of Business, revised 01 Nov 2010.
    8. Bayham, Jude & Muñoz-García, Félix & Espínola-Arredondo, Ana, 2019. "International coordination of environmental policies: is it always worth the effort?," Environment and Development Economics, Cambridge University Press, vol. 24(3), pages 294-316, June.
    9. Catherine L. Kling & Daniel J. Phaneuf & Jinhua Zhao, 2012. "From Exxon to BP: Has Some Number Become Better Than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 3-26, Fall.
    10. Henrik Andersson & James Hammitt & Gunnar Lindberg & Kristian Sundström, 2013. "Willingness to Pay and Sensitivity to Time Framing: A Theoretical Analysis and an Application on Car Safety," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 437-456, November.
    11. Jacquemet, Nicolas & Joule, Robert-Vincent & Luchini, Stéphane & Shogren, Jason F., 2013. "Preference elicitation under oath," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 110-132.
    12. Ladenburg, Jacob & Olsen, Søren Bøye, 2014. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," Resource and Energy Economics, Elsevier, vol. 37(C), pages 39-63.
    13. Mark A. Andor & Manuel Frondel & Colin Vance, 2017. "Mitigating Hypothetical Bias: Evidence on the Effects of Correctives from a Large Field Study," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 777-796, November.
    14. Jie He & Jérôme Dupras & Thomas G. Poder, 2018. "Payment and Provision Consequentiality in Voluntary Contribution Mechanism: Single or Double “Knife-Edge” Evidence?," Cahiers de recherche 18-02, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    15. Dominique Ami & Frédéric Aprahamian & Olivier Chanel & Stéphane Luchini, 2011. "A Test of Cheap Talk in Different Hypothetical Contexts: The Case of Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 111-130, September.
    16. Henrik Andersson & Mikael Svensson, 2008. "Cognitive ability and scale bias in the contingent valuation method," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 39(4), pages 481-495, April.
    17. Mark A. Andor, Manuel Frondel, and Colin Vance, 2017. "Germanys Energiewende: A Tale of Increasing Costs and Decreasing Willingness-To-Pay," The Energy Journal, International Association for Energy Economics, vol. 0(KAPSARC S).
    18. Kanya, Lucy & Sanghera, Sabina & Lewin, Alex & Fox-Rushby, Julia, 2019. "The criterion validity of willingness to pay methods: A systematic review and meta-analysis of the evidence," Social Science & Medicine, Elsevier, vol. 232(C), pages 238-261.
    19. Svensson, Mikael, 2006. "The Value of a Statistical Life in Sweden Estimates from Two Studies using the "Certainty Approach" Calibration," Working Papers 2006:6, Örebro University, School of Business, revised 12 May 2009.
    20. Andor Mark A. & Frondel Manuel & Vance Colin, 2014. "Hypothetische Zahlungsbereitschaft für grünen Strom: Bekundete Präferenzen privater Haushalte für das Jahr 2013," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(4), pages 355-366, December.

    More about this item

    Keywords

    Willingness to pay; Value of a statistical life; Stated Preferences; Revealed Preferences; Economic Evaluation;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:oruesi:2010_014. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ieoruse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.