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Incentive pay sensitivity to firm performance prior to anticipated CEO turnover.

Heliyon·2023
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Data on executive turnover timing and type for US top managers.

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This study details a new dataset on US CEO turnover types, crucial for finance and accounting research. The data, compiled from news stories, offers reliable insights into executive departures for 3,100 firms.

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Area of Science:

  • Business and Economics
  • Financial Accounting
  • Corporate Governance

Background:

  • CEO turnover is critical in corporate finance and accounting research.
  • Existing datasets often lack reliable information on the timing and types of CEO departures.
  • Accurate data is essential for understanding the implications of executive changes.

Purpose of the Study:

  • To introduce a novel dataset detailing CEO turnover types for publicly-traded US firms.
  • To provide researchers with reliable data on the fiscal year and classification of CEO departures.
  • To facilitate future research in economics, finance, and accounting.

Main Methods:

  • Manual data collection via news story searches for CEO turnover events.
  • Identification of turnover cases using Compustat and Execucomp databases.
  • Classification of turnover types through full-text news article analysis.

Main Results:

  • A comprehensive dataset of US CEO turnover types has been created.
  • The dataset covers 3,100 US publicly-traded firms.
  • Includes fiscal year of turnover, turnover type, and company/executive identifiers.

Conclusions:

  • The dataset enhances the reliability of CEO turnover research.
  • It can be merged with existing financial databases for integrated analysis.
  • Supports both cross-sectional and longitudinal studies on corporate governance and firm performance.