Table A1

Variable definitions and acronyms

LabelName of variableExplanation
Dependent variable 
WOMMCDUMWomen in Management CommitteeA binary variable coded 1 if a senior management team/management committee consists of at least one female executive; and 0 otherwise
WOMMCWomen in Management CommitteeThe proportion of female executives to the total number of executives in the senior management team/management committee
Independent variable 
BGENDIVBoard gender diversityThe proportion of female directors to the total number of directors on the corporate board
1WOMANBoard gender diversityA binary variable is coded 1 if one member of the corporate board is female and 0 otherwise
2WOMENBoard gender diversityA binary variable coded 1 if two members of the corporate board are female, and 0 otherwise
≥3WOMENBoard gender diversityA binary variable coded 1 if three or more women are present in boardrooms, and 0 otherwise
Control variables 
LNBSIZEBoard sizeThe natural log of the total members of the board
BINDPBoard independenceThe fraction of independent directors to the number of directors on the board
FSIZEFirm sizeThe natural log of total assets
ROAProfitabilityThe ratio of net income to total assets
LEVLeverageThe ratio of total debt to total equity
LFAGEFirm ageThe natural log of the number of years since inception
Variables used in robustness tests
WOMMC_BLAUWomen in Management Committee1-∑ni = 1 Pi2, Pi refers to the fraction of executive members in each category of a given attribute; n is the number of groups of a given trait
WOMMC_SHANNONWomen in Management Committee-∑ni = 1 PiInPi, Pi refers to the fraction of executive members in each group of a given attribute, n is the number of groups of a given trait, In is the natural log of each category
BLAUBoard gender diversity1-∑ni = 1 Pi2, Pi refers to the fraction of board members in each category of a given attribute; n is the number of groups of a given trait
SHANNONBoard gender diversity-∑ni = 1 PiInPi, Pi refers to the fraction of board members in each group of a given attribute, n is the number of groups of a given trait, In is the natural log of each category

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