Models which estimate influenza mortality probably overestimate this mortality because their baseline estimates include only nonepidemic weeks. We present a stochastic frontier estimation model which better reflects influenza mortality.

This paper solves the pure consumption Grossman model numerically following dynamic programming method, and undertakes sensitivity analysis of the optimal length of life. This is the first analysis that treats the determination of optimal length of life explicitly with numerical analysis.