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Table 5 Robustness check using alternative control variables

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

Variables

(1)

(2)

(3)

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

0.628*** (0.045)

0.635*** (0.098)

0.789*** (0.116)

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

7.798** (3.937)

15.900*** (4.265)

26.240*** (5.778)

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

− 7.690** (3.736)

− 15.694*** (4.148)

− 23.921*** (5.190)

Efficiencyt−1

 

5.284*** (1.343)

2.773* (1.673)

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

  

− 2.378*** (0.888)

Bank sizet−1

0.281 (0.175)

0.469** (0.221)

1.098*** (0.331)

Liquidityt−1

0.005 (0.057)

− 0.317*** (0.057)

− 0.347*** (0.055)

Log(GDP)t−1

1.671*** (0.279)

1.187*** (0.322)

1.702*** (0.376)

Financial deptht−1

− 1.281*** (0.258)

− 1.060*** (0.260)

− 1.733*** (0.364)

Governancet−1

− 0.308 (0.214)

0.243 (0.316)

0.112 (0.322)

Regulationt−1

0.425*** (0.046)

0.402*** (0.051)

0.405*** (0.051)

Constant

0.200 (0.138)

4.102*** (0.965)

2.236* (1.217)

No. of instruments

28

28

28

AR (2)

0.37

0.51

0.36

Hansen statistics

0.48

0.18

0.47

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, liquidity and financial depth are measured by log(Z-Score), Boone indicator using market share of loan, PCA of net interest margin ratio, operating efficiency ratio, working capital ratio and asset turnover ratio, log(Total asset), loan-to-deposit ratio and broad money-to-GDP ratio, respectively