Table 3.
Binary logistic regression output
| Estimating the nexus between constructs | |
|---|---|
| Level 1 (n = 334) | |
| Intercept | GDP growth |
| FOR | −0.01267 |
| INF | −0.01112 |
| BE | −0.01714 |
| GINI | −0.01128 |
| Control | −0.03547 |
| INS | −0.00442 |
| GDPG | −0.01464 |
| 0.045457 | |
| Level 2 (n = 113) | |
| Intercept | 0.002401 |
| FOR | −0.01359 |
| INF | 0.023098 |
| BE | 0.015034 |
| GINI | −0.00187 |
| Control | 0.008062 |
| INS | 0.010565 |
| GDPG | 0.007694 |
| Level 2 (n = 60) | |
| Intercept | −0.0097 |
| FOR | −0.01453 |
| INF | 0.009735 |
| BE | 0.001236 |
| GINI | 0.351090 |
| Control | 0.724518 |
| INS | 0.290446 |
| GDPG | 0.885908 |
| Significance at p-value < 0.05 |