Insurance, Mortality, Demography, Risk Management

The paper develops a method to project the probability distribution of kin numbers over the life course using combinatorics and matrix algebra, providing expected values and variance.

The paper develops a demographic model to calculate lifetime kin overlap, showing how mortality and fertility affect kin interactions across generations.

The paper extends variance partitioning analysis to multiple factors and their interactions in heterogeneous populations, demonstrating that stochastic processes contribute more to variance in longevity than heterogeneity.

The paper develops a stochastic kinship model to project variances and covariances of kin age-stage distributions, improving upon deterministic models by incorporating demographic stochasticity.

This paper develops a weighted network model to generate synthetic aging trajectories from cross-sectional health data, showing good agreement with observed mortality and health characteristics.

The paper examines whether the survival advantage of offspring from long-lived parents is genetic or environmental, finding a genetic component that persists beyond age 5.