In many papers, the dependent variable is transformed by taking natural log. For instance, consider the following model:
Code:
log(Y) = α + β X1 + ε
Through a simple simulation exercise, I have found out that it may be erroneous to comment on the direction of relationship between Y and X on the basis of sign of β in the above equation. Specifically, the signs of Cov (X,Y) and Cov (X, Log (Y)) may be different.
Please let me know if my finding is correct.
0 Response to Interpretation of β in case of Log-Lin model
Post a Comment