BoardEx is available via the WRDS platform.

When accessed through the Wharton Research Data Services (WRDS) platform, BoardEx offers a range of capabilities tailored to academic researchers and professionals in finance and economics. WRDS provides access to a suite of data sets that support high-level research, and BoardEx data on WRDS can be leveraged for various analytical and empirical studies. Here’s an overview of how BoardEx is integrated and utilized via WRDS:

• Comprehensive Data Access: Through WRDS, researchers gain access to the extensive BoardEx database, which includes detailed biographical information on board members and senior executives. This data is crucial for studies on corporate governance, executive compensation, and board diversity.
• Data Integration: WRDS allows for seamless integration of BoardEx data with other datasets available on the platform, such as Compustat, CRSP, and Thomson Reuters. This integration enables researchers to perform comprehensive analyses that combine financial performance metrics with governance and executive data.
• Advanced Querying and Customization: Researchers can use the advanced querying capabilities of WRDS to filter BoardEx data based on specific criteria such as company characteristics, executive backgrounds, board composition, and more. This customization facilitates targeted research inquiries.
• Historical and Longitudinal Studies: The historical data available through BoardEx on WRDS supports longitudinal studies, allowing researchers to analyze trends and changes in board composition, executive careers, and governance practices over time.
• Network Analysis: BoardEx’s relationship mapping and network analysis features are particularly useful in WRDS for examining the interconnectedness of boards and executives. Researchers can study the impact of these networks on corporate performance, decision-making, and strategic outcomes.
• Downloadable Data: Researchers can download BoardEx data in various formats for use in statistical software packages such as SAS, Stata, R, and Python. This flexibility aids in conducting sophisticated econometric and statistical analyses.

The data is split by region – Europe, North America, United Kingdom and Rest of the World.

BoardEx WRDS Data Dictionary

• Listing ID: 12566