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Coordination incentives, performance measurement, and resource allocation in public sector organizations

机译:公共部门组织的协调激励,绩效衡量和资源分配

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摘要

Why are coordination problems common when public sector organizations share responsibilities, and what can be done to mitigate such problems? This paper uses a multi-task principal-agent model to examine two related reasons: the incentives to coordinate resource allocation and the difficulties of measuring performance. The analysis shows that when targets are set individually for each organization, the resulting incentives normally induce inefficient resource allocations. If the principal impose shared targets, this may improve the incentives to coordinate but the success of this instrument depends in general on the imprecision and distortion of performance measures, as well as agent motivation. Besides decreasing available resources, imprecise performance measures also affect agents' possibility to learn the function that determines value. Simulations with a least squares learning rule show that the one-shot model is a good approximation when the imprecision of performance measures is low to moderate and one parameter is initially unknown. However, substantial and lengthy deviations from equilibrium values are frequent when three parameters have to be learned.
机译:当公共部门组织分担责任时,为什么协调问题很常见?如何解决这些问题?本文使用多任务委托代理模型研究了两个相关原因:协调资源分配的动机和衡量绩效的困难。分析表明,为每个组织分别设定目标时,所产生的激励措施通常会导致资源分配效率低下。如果委托人强加共同的目标,这可能会改善协调的动机,但是该工具的成功通常取决于绩效指标的不精确性和失真以及代理人的动机。除了减少可用资源外,不精确的绩效指标还影响代理商学习决定价值的功能的可能性。用最小二乘学习规则进行的仿真表明,当性能度量的不精确度从低到中等并且一个参数最初未知时,单次模型是一个很好的近似。但是,当必须学习三个参数时,经常会与平衡值发生实质性和长期的偏差。

著录项

  • 作者

    Dietrichson, Jens;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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