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Research Question/Issue
This study seeks to understand the circumstances under which board behavior is affected by gender diversity. The “reasoned action approach” is used as a lens through which to assess the extent that the behavior of the board varies with its gender diversity.
Research Findings/Insights
The study uses archival data from a panel sample of 80,395 directorships observed between 1998 and 2012. Boardroom gender diversity is significantly related to director personal responsibility (board attendance), CEO accountability, and risk taking. Our findings highlight the key importance of the exposure of male directors to women directors on boards beyond the focal board. This suggests a positive externality or a spillover effect.
Theoretical/Academic Implications
The empirical findings of this study highlight the importance of allowing for the operation of social norms when studying boardroom decision making. Experience gained by male directors of working with women directors on other boards, beyond the focal board, is shown to enable women directors to contribute more effectively.
Practitioner/Policy Implications
This study offers encouragement to policy makers' intent on increasing the presence of women on corporate boards. These results point to a spillover effect: there is an observed impact of women on boards that acts not only directly on the board on which they sit but also through the network of boards on which their male counterparts sit.
Video Abstract
https://youtu.be/ZlADhUUdZrA
Corporate governance research is often limited in its ability to employ within-firm estimators, which address time-invariant endogeneity, when the variables of interest exhibit low time variation (for example, ownership and board independence). The problem is further exacerbated if data for multiple points in time needs to be hand-collected. We offer simulation-based methodological guidance to improve the statistical power of within-firm estimators in the presence of low time variation. We illustrate the usefulness of our simulation results by replicating two influential studies on ownership and board independence and extending them with a within-firm estimator. Based on widely used databases as well as a novel granular database, we document the different degrees and nature of time variation of ownership and board independence across jurisdictions and subgroups by listed status, family control and complexity of ownership structure. Researchers can use our findings to optimize the hand-collection and pre-processing of governance data and thereby increase statistical power and/or to distinguish whether lack of significance is due to low time variation as opposed to absence of a true relationship between their governance variable of interest and the respective outcome.
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