Table 6 Interaction Effect of board gender diversity on the relationship between bank disclosure and banking crisis.

From: Banking disclosure and banking crises in Africa: does board gender diversity play a role?

 

Logistic regression

Dynamic GMM

 

Model 10

Model 11

Model 12

Model 13

Banking Crisist−1

  

0.925*** (0.00591)

0.858*** (0.0153)

Bank Disclosure

−0.109*** (0.0400)

−0.155*** (0.0433)

−0.997*** (0.275)

−0.654*** (0.248)

Number of Women

0.365*** (0.0397)

0.525*** (0.0796)

  

Women Present on a Board

−3.844*** (0.798)

−2.611*** (0.492)

−0.0429*** (0.00206)

−1.247** (0.495)

Women on Board*Bank Disclosure

−0.0299** (0.0142)

 

0.146* (0.0850)

 

Number of Women*Bank Disclosure

 

0.217** (0.109)

 

−0.185*** (0.0686)

LERNER

1.840*** (0.178)

1.818*** (0.183)

1.825*** (0.182)

0.120 (0.491)

OWN

0.973*** (0.179)

0.913*** (0.182)

0.885*** (0.182)

0.460*** (0.117)

LnGDP per capita

0.132*** (0.0172)

0.113*** (0.0181)

0.110*** (0.0182)

−0.0965 (0.0769)

Exchange Rate

−0.00108***

−0.000943***

−0.000966***

7.21e-05

 

(7.20e-05)

(7.22e-05)

(7.22e-05)

(0.000185)

Inflation Rate

0.0822*** (0.0115)

0.0889*** (0.0128)

0.0894*** (0.0130)

0.0622*(0.0339)

Year Effect

Yes

Yes

Yes

Yes

Country Effect

Yes

Yes

Yes

Yes

Constant

-5.945*** (0.343)

-6.486*** (0.384)

-5.296*** (0.293)

−0.886 (0.656)

Pseudo-R square

0.5088***

0.6114***

  

Hansen Test

  

0.001

0.293

AR(1)

  

0.000

0.000

AR(2)

  

0.199

0.748

Observations

2,917

2,935

2,935

4,330

Net Effect

−0.1389***

−0.1336***

−0.9826***

−0.8577***

  1. Robust standard errors in parentheses.
  2. ***p < 0.01, **p < 0.05, *p < 0.1.