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Information and motivation issues in compensation design: An application to high technology companies.

机译:薪酬设计中的信息和动机问题:应用于高科技公司。

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摘要

In this study I examine the ability of information and motivation issues to explain differences in compensation practices between high tech and non-high tech companies. Descriptive results indicate that compensation practices do differ along this dimension, and intuition suggests that both private information and motivation could be related to these differences. Via the use of two simple models--one based on adverse selection, the other on moral hazard--I develop several predictions with the potential to help distinguish between the two explanations. The information-based explanation predicts that the relationship between compensation outcomes and both stock and accounting-based performance measures (represented by slope coefficients in a linear regression) will be more strongly positive for high tech firms. Although the motivation-based explanation can yield a similar result, it suggests the additional restriction that the ratio of the stock and earnings slopes will be greater for high tech companies. The information-based explanation also suggests that movement of officers will be observed from large companies to small companies in the high tech sector, more so than for non-high tech firms. The results indicate that for small firms, where performance measures are likely to be more informative monitors of individual employees (relative to large firms), there is strong support for the information-based explanation in the regression analysis, and weak support in the officer movement data. Also, the small firm results are largely inconsistent with the motivation-based explanation. On the other hand, the large firm results are inconsistent with the information-based explanation, but only weakly support the motivation-based explanation.
机译:在这项研究中,我研究了信息和动机问题解释高科技公司与非高科技公司之间薪酬惯例差异的能力。描述性结果表明,薪酬实践在这个方面确实有所不同,直觉表明私人信息和动机都可能与这些差异有关。通过使用两个简单的模型-一个基于逆向选择,另一个基于道德风险-我开发了一些预测,有可能有助于区分这两种解释。基于信息的解释预测,对于高科技公司来说,薪酬结果与股票和基于会计的绩效指标(由线性回归中的斜率系数表示)之间的关系将更加强烈。尽管基于动机的解释可以产生相似的结果,但它建议对高科技公司而言,股票和收益斜率之比将更大的附加限制。基于信息的解释还表明,将观察到人员从高科技公司的大公司转移到小公司,而不是非高科技公司。结果表明,对于小公司而言,绩效指标可能是对单个雇员(相对于大公司)的更多信息的监控者,在回归分析中强烈支持基于信息的解释,而对人员流动的支持则较弱数据。而且,小公司的结果在很大程度上与基于动机的解释不一致。另一方面,大公司的结果与基于信息的解释不一致,但仅弱支持基于动机的解释。

著录项

  • 作者

    Clinch, Gregory John.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Business Administration Accounting.;Economics Labor.
  • 学位 Ph.D.
  • 年度 1988
  • 页码 131 p.
  • 总页数 131
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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