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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
Dependent_variables= pt + developed_dummy*pt + Independent_variables + fixed effects + error term
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?
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