Does competence of central bank governors influence financial stability?

Future Business Journal

Table 10 Descriptive statistics

	RISK	NPL	LLC	CAR	CRISIS	PE	EE	EA	MALE	FEMALE	AGE	PD
Mean	13.32	6.237	62.95	14.92	0.149	0.482	0.309	0.456	0.787	0.213	55	0.419
Median	13.23	3.656	51.10	14.50	0.000	0.000	0.000	0.000	1.000	0.000	56	0.000
Maximum	38.48	37.30	176.90	31.10	1.000	1.000	1.000	1.000	1.000	1.000	79	1.000
Minimum	0.46	0.40	7.52	1.75	0.000	0.000	0.000	0.000	0.000	0.000	36	0.000
SD	6.04	6.42	41.86	3.75	0.357	0.501	0.463	0.357	0.410	0.410	8	0.494
Skewness	0.58	1.83	0.68	0.77	1.96	0.073	0.827	0.177	− 1.400	1.400	0.09	0.328
Observations	272	272	272	272	272	272	272	272	272	272	272	272

LLC = loan loss coverage ratio (%); CRISIS = banking crisis dummy variable (1 = banking crisis, 0 = none); RISK = Bank z-score; NPL = bank nonperforming loans to gross loans ratio (%); CAR = bank regulatory capital to risk-weighted assets ratio (%); PE = Competence in macroeconomic management; EE = educated in a global elite university or institution; EA = educated in a foreign university or institution; AGE = the age of the central bank governor; MALE = a binary variable that take the value 1 if the head regulator is male, and zero if female; FEMALE = a binary variable that take the value 1 if the head regulator is female, and zero is male. PD = having knowledge in disciplines other than economics