We propose a new model in a Bayesian hierarchical framework to project mortality at both national and subnational levels based on sparse or missing data. The new model, which has a country-region-province structure, uses common factors to pool information at the national level and within regions...

Theoretical studies suggest that unexpected changes in future mortality and survival probabilities (stochastic mortality) are important determinants of individuals' decisions about consumption, saving, asset allocation, and retirement timing. Using data on subjective survival expectations...

Using data for six OECD countries, this paper studies the effect of macroeconomic conditions on the mortality index kt in the well-known Lee-Carter model. Significant correlations are found with real GDP growth rates in Australia, Canada, and the United States, and with unemployment rate changes...

This article provides a comprehensive econometric analysis of factors driving aggregate mortality rates over time. It differs from previous studies in this field by simultaneously considering an extensive set of macroeconomic, socio-economic and ecological factors as explanatory variables....

This article provides a comprehensive econometric analysis of factors driving aggregatemortality rates over time. It differs from previous studies in this field by simultaneouslyconsidering an extensive set of macroeconomic, socio-economic and ecological factors asexplanatory variables. Germany...

Motivated by a recent demographic study establishing a link betweenmacroeconomic fluctuations and the mortality index kt in the Lee-Cartermodel, we assess the impact of macroeconomic fluctuations on the solvencyof a life insurance company. Liabilities in our stochastic simulationframework are...

Theoretical studies suggest that unexpected changes in future mortality and survival probabilities (stochastic mortality) are important determinants of individuals’ decisions about consumption, saving, asset allocation, and retirement timing. Using data on subjective survival expectations...