The

random effects

estimator is more suitable

The pooled OLS estimator

is suitable

The estimator with time effects is suitable

because there

are no time effects under the null hypothesis, which is rejected at the 5%

significance level.

The pooled OLS estimator is suitable

 because the pooled OLS estimator is consistent under the null

hypothesis, which is not rejected using the 5% significance level.

The fixed effects estimator is more suitable

than the radom

effects estimator bacause the fixed effects estimator is inconsistent under the

null hypothesis, which is rejected using the 5% significance level.