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Table 3 Robustness check using alternative measure of competition and efficiency

From: Do competition and efficiency lead to bank stability? Evidence from Bangladesh

Variables

(1)

(2)

(3)

\({\text{Financial stability}}_{t - 1}\).

0.486*** (0.036)

0.422*** (0.057)

0.519*** (0.072)

\({\text{Competition }}_{t - 1}\)

7.261** (2.903)

11.821*** (4.401)

11.310** (5.663)

\({\text{Competition }}_{t - 1}^{2}\)

− 0.953*** (0.340)

− 1.509*** (0.537)

− 1.364** (0.679)

Efficiencyt−1

 

3.571*** (1.228)

8.544* (4.984)

\({\text{Competition}}_{t - 1} {{ \times Efficiency}}_{t - 1}\).

  

− 3.129** (1.447)

Bank sizet−1

0.272* (0.155)

0.184 (0.206)

0.262 (0.208)

Liquidityt−1

0.001 (0.053)

0.079 (0.079)

195*** (0.062)

Log(GDP per capita)t−1

0.400*** (0.106)

0.129 (0.176)

− 0.402 (0.273)

gGDPt−1

− 0.265*** (0.033)

− 0.300*** (0.076)

− 0.429*** (0.127)

Governancet−1

0.097 (0.149)

0.837*** (0.264)

1.202*** (0.437)

Regulationt−1

0.223*** (0.039)

0.136 (0.085)

0.032 (.123)

Constant

− 13.673** (5.950)

− 21.368** (8.577)

− 21.881* (11.164)

Year dummies

Yes

Yes

Yes

No. of instruments

28

28

28

AR (2)

0.78

0.70

0.99

Hansen statistics

0.18

0.45

0.34

Observations

210

210

210

No. of banks

30

30

30

  1. Standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1. Here, financial stability, competition, efficiency, bank size and liquidity are measured by log(Z-Score), Boone indicator using market share of deposit, operating efficiency ratio, log(Total asset) and loan-to-deposit ratio, respectively