Avoidable mortality risks and measurement of wellbeing and inequality.

This paper proposes a data envelopment method to separate avoidable and unavoidable mortality risks. As unavoidable mortality is either beyond the control of humanity or likely to be very cost-ineffective to reduce in the short to medium term, avoidable mortality is of much greater practical relevance in measuring wellbeing and inequality. The new method is applied to a dataset consisting of life tables for 191 countries in the year 2000 to obtain a reference distribution of unavoidable mortality risks.