A Logistic Regression Analysis to Examine Factors Affecting Gender Diversity on the Boardroom: ISE Case
Ilker Sakinc, Erginbay Ugurlu

Abstract
In the recent years, the importance of financial literature in gender diversity amongst board of directors has been investigated. It is argued whether diversified board of directors has a positive impact on firms. This paper aims to determine the affecting factors of gender diversity in the board of directors in Turkey. For this reason, 40 firms in Istanbul Stock Exchange (ISE) in Corporate Governance Index (XKURY) are examined for 2011 in the paper. Due to having a categorical variable which has a two value as a dependent variable we use logistic regression model which analyzes the effects of independent variables on a binary dependent variable in terms of the probability of being in one of the other. The model results show that size of board of directors and education has a positive and foreign ownership and free float rate have negative impact on gender diversity.

Full TexT: PDF