@thardin So just go for the whole thing? I think I found the equivalent for the U.S but it seems aggregated (also these state bureaucrats have the most bizarre formatting and notation)
Are there any data-mining frameworks to estimate I/O tables by scrapping the internet?
What do I look at; (industry/commodity)-(industry/commodity)?
Also is their corresponding labor content available?
@madredalchemist @wpc has done some work in this direction, but basically you can try to synthesize larger tables through a process of randomly splitting rows and columns such that they sum to the same thing. Labour isn't usually tracked per se, but you can use wages as a substitute.
@thardin I should be able to infer average labor content through average wages yes? or would it be best to use wages as it would weight toward lower payed workers who have more incentive to strike (that is if I replace labour content in my model with worker income)?
@madredalchemist @wpc has done some work in this direction, but basically you can try to synthesize larger tables through a process of randomly splitting rows and columns such that they sum to the same thing.
That's a relief. I'm glad I don't need to do any data-mining, although, it would be interesting to incorporate worker-based reporting (maybe that's the ghost shift your looking for? intel is a use value right?) into that in a more mature iteration of the project.
@madredalchemist Information gathering is useful yes. If you can try to get union members to collect this information. It's more along the lines of what I call shadow planning. You first need to know what the capabilities are before you can engage in ghost production. It is of little benefit to make say a bunch of extra copper pipes without somewhere to send them.
@thardin Ahh I see "shadow production" is what you're aiming for. I'll keep that in mind, perhaps there's a way to tactically apply the "five-finger discount" that my framework could suss out; I'll reread your ghost shift blog post.