Table 4.
Regression results for the relationship between life insurance market growth and bank stability.
| Dependent variable |
Z-score |
1/NPL |
||
|---|---|---|---|---|
| (1) |
(2) |
|||
| Co.eff | t.stat | Co.eff | t.stat | |
| LIMG | 0.117∗∗∗ | −2.59 | 0.026∗ | 1.64 |
| LIMG2 | −0.001∗∗ | −2.19 | −0.003∗∗∗ | −3.02 |
| HHI | 2.237 | 1.23 | 0.139 | 1.00 |
| BCON | 0.009 | 0.71 | 0.001 | 0.93 |
| GDP | 0.914 | 1.39 | 0.127∗∗∗ | 3.22 |
| PPG | 0.656∗ | 1.66 | −0.016 | −0.64 |
| CISH | 0.076∗∗ | 1.95 | 0.004∗ | 1.75 |
| LER | 0.048 | 1.19 | −0.001 | −0.41 |
| WGI | 3.404∗∗∗ | 3.07 | 0.159∗∗∗ | 2.40 |
| NII | −0.035∗∗∗ | −2.87 | −0.004∗∗∗ | −4.24 |
| Cons | 9.003 | 1.62 | −0.632∗ | −1.89 |
| Year fixed-effect | Yes | Yes | ||
| Observation | 571 | 414 | ||
| F-test (p.value) | 0.00 | 0.00 | ||
Note: This table reports the fixed-effect estimation results for Equation (2) using the Z-score and 1/NPL as dependent variables. ∗, ∗∗, and ∗∗∗ indicate statistical significance at the 10 %, 5 %, and 1 % levels, respectively. All variables are defined in Appendix A.