2014
DOI: 10.2139/ssrn.2379025
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Women on Board: Does Boardroom Gender Diversity Really Affect Firm Risk?

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Cited by 12 publications
(27 citation statements)
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“…These consist of two sets. The first set comprises firm characteristics: firm age (Miller & Triana, 2009; Nguyen et al, 2015) measured as the number of years since the company was founded; firm size (Adams & Ferreira, 2009; Carter et al, 2010) measured as the logarithm of total assets; the degree of firm internationalization (Masulis, Wang, & Xie, 2012; Oxelheim, Gregorič, Randøy, & Thomsen, 2013) calculated as the percentage of foreign sales; and the number of business segments (Adams & Ferreira, 2009; Sila, Gonzalez, & Hagendorff, 2016) tabulated by the four-digit SIC code classification .…”
Section: Context Sample Data Sources Measures and Methodsmentioning
confidence: 99%
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“…These consist of two sets. The first set comprises firm characteristics: firm age (Miller & Triana, 2009; Nguyen et al, 2015) measured as the number of years since the company was founded; firm size (Adams & Ferreira, 2009; Carter et al, 2010) measured as the logarithm of total assets; the degree of firm internationalization (Masulis, Wang, & Xie, 2012; Oxelheim, Gregorič, Randøy, & Thomsen, 2013) calculated as the percentage of foreign sales; and the number of business segments (Adams & Ferreira, 2009; Sila, Gonzalez, & Hagendorff, 2016) tabulated by the four-digit SIC code classification .…”
Section: Context Sample Data Sources Measures and Methodsmentioning
confidence: 99%
“…The second set of variables are governance variables and involve the characteristics of the board and its members. These include Chairperson of the Board (COB) and Chief Executive Officer (CEO) duality, that is, COB & CEO duality (Bhagat & Bolton, 2008; Holm & Schøler, 2010; Singla, George, & Veliyath, 2010); board size (Rose, Munch-Madsen, & Funch, 2013; Sanders & Carpenter, 1998; Zahra, Priem, & Rasheed, 2007), measured as the number of directors on the board; board independence (Musteen, Datta, & Herrmann, 2009; Pérez-Calero Sánchez, Villegas-Periñán, & Barroso-Castro, 2013; Sila et al, 2016), calculated as the proportion of independent directors to board size; board ownership (Bhagat & Bolton, 2008; Carter et al, 2010), measured as the sum of the shares held by the board directors divided by the firm’s outstanding shares; and additional directorships (Carter et al, 2010), measured as the average number of all the extra board seats held by the firm’s board members. Also, included in the second set are board financial expertise or financial independent experts on the audit committee (FIEA; Bédard, Chtourou, & Courteau, 2004; Güner, Malmendier, & Tate, 2008), measured as the total number of independent directors with financial expertise and who sit on the audit committee, and foreign independent director (FID Indicator; Masulis et al, 2012; Oxelheim et al, 2013), measured as a dummy variable that equals one if the firm has at least one foreign independent directors, that is, independent directors domiciled outside the United States and zero otherwise.…”
Section: Context Sample Data Sources Measures and Methodsmentioning
confidence: 99%
“…In this section, the robustness of the main results is checked in three ways. First, we check for endogeneity issues, which are pervasive in all corporate governance studies (Sila, Gonzalez, & Hagendorff, 2016 specific firms or industries, that is, firms in less-risky industries-making it a nonrandom process (Sila et al, 2016).…”
Section: Robustness Checksmentioning
confidence: 99%
“…The prior literature suggests instrumental variable (IV) regression, such as the two-stage least squares (2SLS; Sila et al, 2016), and the Heckman two-stage model (Lara et al, 2017) to deal with omitted variables and self-selection bias, respectively. However, implementation of 2SLS requires an exogenous instrument-a variable that is closely related to an independent variable but has no impact on the dependent variable(s).…”
Section: Robustness Checksmentioning
confidence: 99%
“…Loukil and Yousfi (2014) proved that women only affected financial risks through cash-related policies and influenced risk management irregularly [20]. Sila, Gonzalez and Hagendor (2014) [21] suggested that a BOD with a higher rate of women would be risk-free or less risky than that with men only. Starting from the previous studies on women's presence in the BOD, the following hypothesis is proposed:…”
Section: Tab 1: Handling Raw Datamentioning
confidence: 99%