Tuncel, AltanAslan, Tugba Aktas2025-01-212025-01-2120250377-04271879-1778https://doi.org/10.1016/j.cam.2024.116296https://hdl.handle.net/20.500.12587/25459Schur-constant models play a particular role when modelling time in fields such as actuarial science, insurance, reliability and survival models. These models describe random lifetimes with a certain dependence. In this study, a relation between proportional hazard rate distributions and Schur-constant models is established. Bivariate Schur-constant models, whose marginals are proportional hazard rate distributed, are introduced. Then, the dependency analysis in life insurances is performed through Schur-constant and copula models. It is revealed that there are differences in pricing when individuals' future lifetimes are dependent.eninfo:eu-repo/semantics/closedAccessSchur-constant model; Archimedean copula; Proportional hazard rate model; Dependency; Life insurance; Survival analysisArticle45710.1016/j.cam.2024.1162962-s2.0-85205509733Q1WOS:001333203000001N/A