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We consider expectations of the form E[logy|x] = Σ<sub>j=1</sub>-super-d α<sub>j</sub> log x<sub>j</sub> as a good starting point for a more general analysis. We show why this naturally leads to the following flexible functional form: E[y|x] = f(Σ<sub>j=1</sub>-super-dh<sub>j</sub>(x<sub>j</sub>)), where f(&cdot;) and the h<sub>j</sub>(&cdot;)'s are estimated by cubic splines....
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