andiswa-01/Zimbabwe-Specific-Stochastic-Mortality-Model-with-Socioeconomic-Intergration.

Zimbabwe’s pension funds faced unquantified longevity risk due to volatile mortality trends driven by HIV, inequality, and data gaps. Existing models ignored local socioeconomic drivers. Developed a Bayesian Lee-Carter model incorporating GDP, healthcare access, and HIV prevalence. # Bayesian Stochastic Mortality Model for Zimbabwe > **Advanced mortality forecasting incorporating socioeconomic factors for longevity risk management in emerging economies** ```diff + Key Achievement: Achieved 3.2% MAPE accuracy (44% improvement) in mortality projections + Innovation: First Bayesian Lee-Carter implementation for Zimbabwe with socioeconomic covariates