Gächter Simon, Huang Lingbo, Sefton Martin
CeDEx and School of Economics, University of Nottingham, Sir Clive Granger Building, University Park, Nottingham, NG7 2RD UK ; CESifo, Munich, Germany ; IZA, Bonn, Germany.
CeDEx and School of Economics, University of Nottingham, Sir Clive Granger Building, University Park, Nottingham, NG7 2RD UK.
Exp Econ. 2016;19(4):687-712. doi: 10.1007/s10683-015-9465-9. Epub 2015 Sep 9.
We introduce the "ball-catching task", a novel computerized task, which combines a tangible action ("catching balls") with induced material cost of effort. The central feature of the ball-catching task is that it allows researchers to manipulate the cost of effort function as well as the production function, which permits quantitative predictions on effort provision. In an experiment with piece-rate incentives we find that the comparative static and the point predictions on effort provision are remarkably accurate. We also present experimental findings from three classic experiments, namely, team production, gift exchange and tournament, using the task. All of the results are closely in line with the stylized facts from experiments using purely induced values. We conclude that the ball-catching task combines the advantages of real effort tasks with the use of induced values, which is useful for theory-testing purposes as well as for applications.
我们引入了“接球任务”，这是一种新型的计算机化任务，它将一种实际动作（“接球”）与努力的诱导物质成本相结合。接球任务的核心特点是，它使研究人员能够操纵努力成本函数以及生产函数，从而允许对努力供给进行定量预测。在一项采用计件激励的实验中，我们发现关于努力供给的比较静态预测和点预测都非常准确。我们还展示了使用该任务进行的三个经典实验（即团队生产、礼物交换和锦标赛）的实验结果。所有结果都与使用纯诱导价值的实验中的典型事实密切相符。我们得出结论，接球任务结合了实际努力任务和诱导价值使用的优点，这对于理论测试目的以及应用都很有用。
