Today, when running the regression, I found something quite complicated
Array


Where Y1, Y2, Y3 are different dependent variables. pt_original is pt retrieved from this equation

Dependent_variables= pt + Independent_variables + fixed effects + error term
And pt along with developedpt is from this regression
Dependent_variables= pt + developed_dummy*pt + Independent_variables + fixed effects + error term
where developed_dummy equalling to 1 if this observation is in developed countries.

So, in this Table, what I can conclude so far is:

0.00786: the law does not affect Y1 in developed countries differently compared to developing countries.

0.827*** : Laws' effect in developed countries is higher by 0.8270.827 relative to developing countries. The total effect of this law on Y2 in developed countries is 0.827−1.122=−0.2950.827−1.122=−0.295.

I hope the explanation above is correct.

My focus now is on another aspect of the results.

1> For Y1, pt becomes significant after controlling for developed_dummy * pt . So, what can I conclude about this phenomenon?

2> For Y3, coefficients of pt become negative significant and of developedpt becomes positive significant, what I can conclude about this phenomenon as well?