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by librarianscott
1579 days ago
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But in practice, spreadsheets are usually used for "brainstorming" in a research question to pose some possibilities, while jupyter is used for creating an executable paper for an actual scientific discussion. The danger in both spreadsheets and in computational notebooks is you can include a lot of mathematically true and/or statistically consistent conclusions that are filled with assumptions that haven't been correlated or even agreed to by voters or policymakers. For anyone making a bold claim like post-high-school education doesn't promote future earnings, their burden is to come up with macroeconomic examples or even models that are consistent. Just writing a book and a spreadsheet doesn't cut it, which is another way to say, they aren't making their claim in an educated way that modern economists use. |
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"Key feature of the signaling model: At the margin, signaling raises pay but not productivity, so social return<selfish (“private”) return.
Policy implication: Even selfishly lucrative education may be socially wasteful rent-seeking.
If ignoring signaling is sole flaw in existing return to education literature, true social return roughly equals mainstream social return*(1-signaling share)"
Really he's just saying something we all kind of know. Diploma's are more often than not a ticket to ride in a certain class of society, not an education technology that increases productivity. So why is there government support and subsidy for something that has private, but not much public benefit?
http://www.bcaplan.com/returns.pdf