Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach

This paper by applying a sporting production function evaluates 229 professional tennis players’ career performance. By applying Data Envelopment Analysis (DEA) the paper produces a unified measure of nine performance indicators into a single career performance index. In addition bootstrap techniques have been applied for bias correction and the construction of confidence intervals of the efficiency estimates. The results reveal a highly competitive environment among the tennis players with thirty nine tennis players appearing to be efficient.