### bootstrapping is enough to test causal effects

Posted:

**Tue Apr 07, 2020 7:05 am**Dear,

Could you please explain how should I test causal effects in the following model:

(1) A, B, C, and D influence on X, Y.

(2) X, Y influence on M.

In bootstrapping, although the paths are significant, may I conclude that A, B, C, and D lead to X and Y, or that A, B, C, and D have associations with X and Y?

The results create a question of causality in the model; it is conceivable that M leads to X and Y, or that X and Y may lead to A, B, C, D? Should I do any steps to conclude that (1) A, B, C, and D lead to X, Y, and (2) X and Y lead to M?

Could you please explain how should I test causal effects in the following model:

(1) A, B, C, and D influence on X, Y.

(2) X, Y influence on M.

In bootstrapping, although the paths are significant, may I conclude that A, B, C, and D lead to X and Y, or that A, B, C, and D have associations with X and Y?

The results create a question of causality in the model; it is conceivable that M leads to X and Y, or that X and Y may lead to A, B, C, D? Should I do any steps to conclude that (1) A, B, C, and D lead to X, Y, and (2) X and Y lead to M?