Table 11 Regression result using the...

Table 11

Regression result using the intensity of female representation

Variables	(1)	(2)	(3)	(4)
	Model 1	Model 2	Model 3	Model 4
	Dependent variable = NPL		Dependent variable = Pro_NPL
GD1/2	−0.0387^**		−0.0288^**
GD1/2	(0.0164)		(0.0114)
GD3/3+		−0.0451^***		−0.0321^***
GD3/3+		(0.0126)		(0.00978)
Constant	2.852^***	2.693^***	1.052^***	0.935^***
Constant	(0.392)	(0.407)	(0.260)	(0.259)
All controls	Yes	Yes	Yes	Yes
Year fixed	Yes	Yes	Yes	Yes
Industry fixed	Yes	Yes	Yes	Yes
Observations	365	365	365	365
R-squared	0.659	0.659	0.522	0.521
Adj. R-squared	0.642	0.642	0.499	0.497
F-statistic	35.38^***	34.03^***	6.556^***	6.617^***

Variables	(1)	(2)	(3)	(4)
	Model 1	Model 2	Model 3	Model 4
	Dependent variable = NPL		Dependent variable = Pro_NPL
GD1/2	−0.0387^**		−0.0288^**
GD1/2	(0.0164)		(0.0114)
GD3/3+		−0.0451^***		−0.0321^***
GD3/3+		(0.0126)		(0.00978)
Constant	2.852^***	2.693^***	1.052^***	0.935^***
Constant	(0.392)	(0.407)	(0.260)	(0.259)
All controls	Yes	Yes	Yes	Yes
Year fixed	Yes	Yes	Yes	Yes
Industry fixed	Yes	Yes	Yes	Yes
Observations	365	365	365	365
R-squared	0.659	0.659	0.522	0.521
Adj. R-squared	0.642	0.642	0.499	0.497
F-statistic	35.38^***	34.03^***	6.556^***	6.617^***

Note(s): Numbers in parentheses are robust standard error. Superscripts ^***, ^**, and ^* denote significance at the 1%, 5%, and 10% levels, respectively. The definitions of variables are given in Appendix

Source(s): Created by author

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