Question: With a log-log model, log(Y) = 0 + 1 log(X 1 ) + 2 log(X 2 ) + u A. 1 > 1 indicates a
With a "log-log" model, log(Y) = 0 + 1 log(X1) + 2 log(X2) + u
A.
1 > 1 indicates a negative effect of X1, and 0 < 1 < 1 indicates a positive effect.
B.
1 > 1 indicates a decreasing effect as X1 becomes larger, and 0 < 1 < 1 indicates an increasing effect as X1 becomes larger.
C.
1 > 1 indicates a positive effect of X1, and 0 < 1 < 1 indicates a negative effect.
D.
1 > 1 indicates an increasing effect as X1 becomes larger, and 0 < 1 < 1 indicates a decreasing effect as X1 becomes larger.
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