Q = f([white male labor input], [black male labor input], [white female labor
input], [black female labor input], [other labor input, I assume], capital input)
Assume Q = [input 1] ^B1 x [input 2] ^B2 x ... x [input n] ^Bn is the form for n
inputs, and use translog methods to estimate the B's. Evaluate at the actual
levels of factor inputs to get marginal productivities. {Q here means value of
output, by the way. Q and the inputs are vectors whose elements are detailed
industries.}
This is from memory, since I'm not interested enough to look it up right now...
Peter
Doug Henwood wrote:
> Peter Dorman wrote:
>
> >When I left he was just completing work on discrimination and productivity.
> >His "contribution" was to use "white male labor", "black female labor", etc.
> >as separate inputs into aggregate production function analysis, determine
> >the productivity ratios between the groups, and compare them to the
> >corresponding wage differentials.
>
> How did he measure their productivity?
>
> Doug
