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Can I read Women on boards and corporate social irresponsibility: evidence from a Granger style reverse causality minimisation procedure on EtoBox?

Women on boards and corporate social irresponsibility: evidence from a Granger style reverse causality minimisation procedure by Godfrey, Christopher; Hoepner, Andreas G. F.; Lin, Ming-Tsung; Poon, Ser-Huang is a Economics, Econometrics and Finance article available to read on EtoBox.

What is Women on boards and corporate social irresponsibility: evidence from a Granger style reverse causality minimisation procedure about?

We hypothesise bi-directional causality between gender diversity on boards and corporate social irresponsibility (CSI). Firms exposed to CSI incidents are likely to increase their board gender diversity for reputational purposes. Simultaneously, gender diversity adds skills and networks to boards which supports their monitoring function and should reduce CSI incidents. Econometrically, this relationship is plagued with reverse causality. Consequently, we propose a Granger-style reverse causality minimisation procedure. Our procedure involves three steps. Firstly, we regress board diversity (BD) on lagged CSI to separate diversity into two components, one driven by CSI (BDDCS) and another unrelated to CSI (BDUCS), with the latter being the sum of the intercept and the disturbance term. Secondly, we confirm that BDUCS experiences a near-zero correlation to CSI and that a Granger causality F-test for CSI affecting BDUCS is clearly insignificant. Thirdly, we regress CSI on lagged BDUCS, lagged CSI and its interaction term. Applying our procedure to 2,880 US firms between 2007 and 2016, we find that boards with higher diversity, for reasons other than CSI, were significantly better than

Who reads Women on boards and corporate social irresponsibility: evidence from a Granger style reverse causality minimisation procedure?

It is typically read by researchers, students, and practitioners in Economics, Econometrics and Finance.

Author
Godfrey, Christopher; Hoepner, Andreas G. F.; Lin, Ming-Tsung; Poon, Ser-Huang
Publisher
Taylor and Francis Group; Informa UK (Taylor & Francis); Chapman & Hall; Informa UK Limited (ISSN 1351-847X)
Published
2020
Language
EN
Field
Economics, Econometrics and Finance (Social Sciences)

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