Nornal regression equation:
Dependent_variables= pt + Independent_variables + fixed effects + error term (1)
Adding interaction variable equation:I am wondering what is the advantage of the explanation of adding interaction variables over subsampling (if having)? Array
Dependent_variables= pt + developed_dummy*pt + Independent_variables + fixed effects + error term (2)
I know how to explain the second regression result:
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