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

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

And

where

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

I hope the explanation above is correct.

1> For Y1, pt becomes significant after controlling for

2> For Y3, coefficients of

3> For Y4, coefficients of

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

**pt**along with**developedpt**is from this regression
Dependent_variables= pt +

**developed_dummy*pt**+ Independent_variables + fixed effects + error term**pt**is a variable of interest in a Differentce-in-Difference setting.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?3> For Y4, coefficients of

**pt**become positive significant when it was negative significant, what I can conclude about this phenomenon?
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