Table 7 Robustness regression test...

Table 7

Robustness regression test

Dependent variable: DLLP
Method: Robust least squares
Sample 1: 226
Included observations: 226

Variable	Pred. Sign	Coefficient	Std. Error	t-statistic	Prob	Remarks
C		−0.0957	0.0160	−5.7658	0.0000
EBTP	+	1.1141	0.2200	4.8670	0.0000	Accepted
LDR	−	−0.0528	0.0208	−2.4394	0.0147	Accepted
BOPO	+	0.1092	0.0145	7.2556	0.0000	Accepted
CG*EBTP	−	−0.2746	0.3730	−0.7077	0.4791	Rejected
CG*LDR	+	0.0764	0.0329	2.2283	0.0259	Accepted
CG*BOPO	−	−0.0622	0.0264	−2.2655	0.0235	Accepted
CAR	+	0.0159	0.0094	1.6221	0.1048
NIM	+	0.0008	0.0090	0.0808	0.9356
SIZE	+	0.0004	0.0005	0.9213	0.3569
R-squared		0.4618	Mean dependent var			0.0011
Adjusted R-squared		0.7506	S.D. dependent var			0.0160
S.E. of regression		0.0080	Akaike info criterion			−6.7729
Sum squared residual		0.0139	Schwarz criterion			−6.6216
Log likelihood		775.3391	Hannan–Quinn criteria			−6.7118
F-statistic		76.2377	Durbin–Watson stat			1.3661
Prob(F-statistic)		0.0000

Variable	Pred. Sign	Coefficient	Std. Error	t-statistic	Prob	Remarks
C		−0.0957	0.0160	−5.7658	0.0000
EBTP	+	1.1141	0.2200	4.8670	0.0000	Accepted
LDR	−	−0.0528	0.0208	−2.4394	0.0147	Accepted
BOPO	+	0.1092	0.0145	7.2556	0.0000	Accepted
CG*EBTP	−	−0.2746	0.3730	−0.7077	0.4791	Rejected
CG*LDR	+	0.0764	0.0329	2.2283	0.0259	Accepted
CG*BOPO	−	−0.0622	0.0264	−2.2655	0.0235	Accepted
CAR	+	0.0159	0.0094	1.6221	0.1048
NIM	+	0.0008	0.0090	0.0808	0.9356
SIZE	+	0.0004	0.0005	0.9213	0.3569
R-squared		0.4618	Mean dependent var			0.0011
Adjusted R-squared		0.7506	S.D. dependent var			0.0160
S.E. of regression		0.0080	Akaike info criterion			−6.7729
Sum squared residual		0.0139	Schwarz criterion			−6.6216
Log likelihood		775.3391	Hannan–Quinn criteria			−6.7118
F-statistic		76.2377	Durbin–Watson stat			1.3661
Prob(F-statistic)		0.0000

Note(s): *Significant p-value < 0.05; EBTP: Pre-managed earnings; LDR: Liquidity; BOPO: Efficiency; CG: Governance Mechanisms; CAR: Capital Adequacy Ratio; NIM: Net Interest Margin; SIZE: Bank Size; prediction signs have a correlation with DLLP, if it is concluded in earnings quality has the opposite interpretation

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