Data on executive turnover timing and type for US top managers

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.