Hi, When looking at model data for New Jersey or for a 17-county New York - New Jersey metro area, I find some odd RPCs: For commodity 161 (ready-mix concrete), I would expect the RPC for a metro area to be quite high, given the 90 minute shelf life of concrete. Instead, the New Jersey model has an RPC of .00048 and the 17-county metro model has an RPC of 0.000026. I could move these up manually to the supply/demand pooling figure of .56 or .41, respectively, but these still seem too low. Any hints on why the RPCs and supply/demand figures are so low? On the other hand, when I look at sector 20 (oil and gas extraction), I find surprisingly high RPCs. If I create a model of just New York county (Manhattan), I get an RPC of .43 and a supply/demand ratio of 1.0. Presumably this is because of Manhattan's abundance of corporate headquarters rather than its geological riches, but the high RPC would seem to distort the indirect impacts of analyses that involve oil. I find similar patterns with a number of natural resource and manufacturing sectors. Any idea how to adjust these RPCs? Thanks.
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