Behavioural sports economics

In recent decades, sports data have been used to creatively explore various behavioural aspects that offer implications beyond just sports. For example, analyses have focused on strategic behaviour to empirically test game theoretical theorems or concepts such as minimax by looking at penalty kicks, corruption through investigation of non-linear incentive pay-off structures to identify match rigging among Sumo wrestlers, or favouritism for home teams by comparing extra time provided at the end of a soccer game. Thus, sports data offer an opportunity to overcome the difficulties inherent in exploring strategic models of behaviour. Based on these advantages, it follows that scholars in the area of decision science, behavioural economics, or economic psychology have made extensive use of sports data. This research agenda aims to uncover important insights into the entire career path of sports professionals, how they act and the decisions they make before and after becoming professionals, and explore the implications of positive and negative life events on career progression.