Suppose you express the Cobb–Douglas model given in Eq. (7.9.1) as follows:
Yi = β1Xβ2
2i Xβ3
3i ui
If you take the log-transform of this model, you will have ln ui as the disturbance
term on the right-hand side.
a. What probabilistic assumptions do you have to make about ln ui to be able to
apply the classical normal linear regression model (CNLRM)? How would you
test this with the data given in Table 7.3?
b. Do the same assumptions apply to ui ? Why or why not?
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