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A database of CEO turnover and dismissal in S&P 1500 firms, 2000-2018

机译:2000-2018的S&P 1500公司的首席执行官营业额和解雇数据库

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Research Summary We introduce an open-source dataset documenting the reasons for CEO departure in S&P 1500 firms from 2000 through 2018. In our dataset, we code for various forms of voluntary and involuntary departure. We compare our dataset to three published datasets in the CEO succession literature to assess both the qualitative and quantitative differences among them and to explore how these differences impact empirical findings associated with the performance-CEO dismissal relationship. The dataset includes eight different classifications for CEO turnover, a narrative description of each departure event, and links to sources used in constructing the narrative so that future researchers can validate or adapt the coding. The resulting data are available at ().Managerial Summary This article describes the development of an open-source database of all CEO dismissals and departures in the S&P 1500 between 2000 and 2018. Prior research on CEO turnover either does not capture the cause of departure or has coded the event independently, leading to inconsistencies and a lack of transparency in coding schemes. This has made it difficult to generate knowledge on the causes and consequences of CEO dismissal. We describe how we developed the database, and we explore how our dataset compares to prior CEO dismissal research. The resulting data are available at ().
机译:研究摘要我们介绍了一个开源数据集,记录了2000年至2018年的S&P 1500公司中首席执行官的原因。在我们的数据集中,我们为各种形式的自愿和不自主离开。我们将DataSet与首席执行官继任文献中的三个公布的数据集进行比较,以评估它们之间的定性和定量差异,并探讨这些差异如何影响与表演首席执行官解雇关系相关的实证发现。数据集包括CEO营业额的八种不同分类,每个出发事件的叙述描述,以及用于构建叙述的源的链接,以便未来的研究人员可以验证或调整编码。由此产生的数据可在().ManageAgrial摘要本文介绍了2000年至2018年之间的标准普尔1500中的所有首席执行官解雇和离境的开源数据库的开发。在首席执行官营业额之前的研究要么没有捕捉到出发原因或者独立编制了该活动,导致编码方案的不一致性和缺乏透明度。这使得难以为首席执行官解雇的原因和后果产生知识。我们描述了我们如何开发数据库,​​我们探讨了我们的数据集如何与先事首席执行官解雇研究进行比较。结果数据可在()中获得。

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