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Data Envelopment Analysis (DEA) and cross-efficiency evaluation are shown as support tools for sports team management in the context of a study of assessment of the individual game performance of handball players of the Spanish premier league. A sample of 66 players that play as backs in their teams is evaluated from the perspective of their offensive game. DEA yields a measure of the overall performance of the game of the players, and allows to identifying relative strengths and weaknesses by means of a benchmarking analysis. The cross-efficiency evaluation has provided a peer-appraisal of the players with the different patterns of game that the 10 players rated as efficient have used in the DEA assessments, and has made it possible to derive a full ranking of players.

This paper revisits the principal-agent model with moral hazard when its solution is obtained invoking the first-order-approach. We show that the solution can be economically inconsistent even when “sufficient conditions” ensuring its validity ([1,2]) hold. To be more precise, we provide examples where is impossible to find Lagrange multipliers validating the approach. The correct solution to the problem provides a rationale for option-like contracts and minimum payments

This article assesses the game performance of the teams participating in the Men’s World Championship of Handball of 2011 by using Data Envelopment Analysis (DEA) and the cross-efficiency evaluation. DEA uses Linear Programming to yield a measure of the overall performance of the game of particular teams, and allows us to identify relative strengths and weaknesses by means of benchmarking analysis. The cross-efficiency evaluation provides a peer-appraisal of the teams with different patterns of game, and makes it possible to rank them. Comparisons between this ranking and the final classification in the championship provide an insight into the game performance of the teams versus their competitive performance. We highlight the fact that France, which is the world champion, is also identified as an “all-round” performer in our game performance assessment.