Consider a regression model to estimate the treatment effect: Yit = Bo + B1Xit + B2 G¡ + B3 Dt + uit where G is the group dummy that takes value 1 for individuals in the treated group, and D is the post-treatment period dummy which takes value 1 for the period in which the treated group has received the treatment. X is defined to be G x D. (Bo, B1, B2, B3) , Suppose that the estimated parameters are = (-3.07, -0.56, %3D -4.12, -5.3) What is the estimated treatment effect?

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