Missov and Finkelstein (2011) prove an Abelian and its corresponding Tauberian theorem regarding distributions for modeling unobserved heterogeneity in fixed-frailty mixture models. The main property of such distributions is the regular variation at zero of their densities. According to this criterion admissible distributions are, for example, the gamma, the beta, the truncated normal, the log-logistic and the Weibull, while distributions like the log-normal and the inverse Gaussian do not satisfy this condition. In this article we show that models with admissible frailty distributions and a Gompertz baseline provide a better fit to adult human mortality data than the corresponding models with non-admissible frailty distributions. We implement estimation procedures for mixture models with a Gompertz baseline and frailty that follows a gamma, truncated normal, log-normal, or inverse Gaussian distribution.
|Status||Udgivet - 2015|
|Begivenhed||Population Association of America 2015 Annual Meeting - San Diego, USA|
Varighed: 30. apr. 2015 → 2. maj 2015
|Konference||Population Association of America 2015 Annual Meeting|
|Periode||30/04/2015 → 02/05/2015|