Are estimates of the value of a statistical life exaggerated?
AbstractThe magnitude of the value of a statistical life (VSL) is critical to the evaluation of many health and safety initiatives. To date, the large and rigorous VSL research literature has not explicitly accommodated publication selectivity bias (i.e., the reduced probability that insignificant or negative VSL values are reported). This study demonstrates that doing so is essential. For studies that employ hedonic wage equations to estimate VSL, correction for selection bias reduces the average value of a statistical life by 70–80%. Our meta-regression analysis also identifies several sources for the wide heterogeneity found among reported VSL estimates.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Health Economics.
Volume (Year): 31 (2012)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/inca/505560
Value of statistical life; Meta-regression analysis; Selectivity bias;
Other versions of this item:
- Hristos Doucouliagos & T.D. Stanley & Margaret Giles, 2011. "Are Estimates of the Value of a Statistical Life Exaggerated?," Economics Series 2011_2, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
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- D.P. Doessel & Ruth F.G. Williams, 2012. "The New Welfare Measures," Working Papers 2012.07, School of Economics, La Trobe University.
- T.D. Stanley & Hristos Doucouliagos, 2013. "Neither Fixed nor Random: Weighted Least Squares Meta-Analysis," Economics Series 2013_1, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
- Brodeur, Abel & Lé, Mathias & Sangnier, Marc & Zylberberg, Yanos, 2013.
"Star Wars: The Empirics Strike Back,"
IZA Discussion Papers
7268, Institute for the Study of Labor (IZA).
- Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2012. "Star wars: The empirics strike back," Working Papers halshs-00710122, HAL.
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