Faculty of Business and Law
School of Accounting, Finance and Economics/Centre for Innovative Practice
The magnitude of the value of astatisticallife (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 astatisticallife by 70–80%. Our meta-regression analysis also identifies several sources for the wide heterogeneity found among reported VSL estimates.