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Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias

Orley Ashenfelter () and Michael Greenstone ()

No 3, Working Papers from Princeton University, Department of Economics, Industrial Relations Section.

Abstract: In this paper we show that omitted variables and publication bias lead to severely biased estimates of the value of a staistical life. Although our empirical results are obtained in the context of a study of choices about road safety, we suspect that the same issues plague the estimation of monetary trade-offs regarding safety in other contexts.

Date: 2004-01
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http://www.irs.princeton.edu/pubs/pdfs/479.pdf First version, 2004

Related works:
Journal Article: Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias (2004) Downloads
Working Paper: Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias (2004) Downloads
Working Paper: Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias (2004) Downloads
Working Paper: Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias (2004) Downloads
Working Paper: Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias (2004) Downloads
Working Paper: Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias (2004) Downloads
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