A stochastic frontier approach to running performance

Long-distance running performance depends on age of the runner and race distance. In this paper we apply a stochastic frontier approach to estimate optimal running performance across distances from 5000 m up to and including the marathon. We present age correction factors for 5000, 10000 and 15000 m, half-marathon and marathon distances for women and men. Two conclusions emerge: (1) official age grading tables are too optimistic for older runners and (2) running performance–age curves differ across distances.