An empirical analysis of the importance of controlling for unobserved heterogeneity when estimating the income-mortality gradient

An empirical analysis of the importance of controlling for unobserved heterogeneity when estimating the income-mortality gradient

Blog Article

Background: Statistical theory predicts that failing to control for unobserved heterogeneity in a Gompertz mortality risk model attenuates the estimated income-mortality gradient toward zero.Objective: I assess the empirical importance of controlling for unobserved heterogeneity in a Gompertz mortality risk model when estimating the income-mortality gradient.The analysis is carried out using individual-level administrative data from the Netherlands over Snoods the period 1996-2012.Methods: I estimate a Gompertz mortality risk model in which unobserved heterogeneity has a gamma distribution and left-truncation of life durations is explicitly taken into account.Results: I find that, despite a strong and significant presence of unobserved heterogeneity in both the male and female Dry Oil samples, failure to control for unobserved heterogeneity yields only a small and insignificant attenuation bias in the negative income-mortality gradient.

Conclusions: The main finding, a small and insignificant attenuation bias in the negative income-mortality gradient when failing to control for unobserved heterogeneity, is positive news for the many empirical studies, whose estimations of the income-mortality gradient ignore unobserved heterogeneity.