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by roenxi
697 days ago
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> They used the following techniques to establish a causal relationship between union density and income inequality. I don't think those techniques establish causal relationships. Which of these techniques do you think establishes a causal relationship? I can tell you right from the start that "time series regressions" don't establish a causal relationship. The paper established a very strong statistical relationship. Which is all very well but if you look in the paper [0] at Fig I you can see a very strong statistical relationship without any need for statistical methods. It leaps out of the graph at you. There was a pre-WWII period, the WWII-through-to-US-mini-peak-oil in the 70s and then the post-peak [1] regime (speaking loosely since shale oil has indeed been a miracle over the last decade - but it isn't the wealth engine that oil was back post WWII). There are a lot of interesting statistical correlations at around the same time. That is far too much background noise to claim that unions are the causal element. Geopolitics and cheap energy was more likely to causal. [0] https://www.nber.org/system/files/working_papers/w24587/w245... [1] https://wtfhappenedin1971.com/ |
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Hm, time series series regression is a standard, accepted approach to causal inference:
https://towardsdatascience.com/inferring-causality-in-time-s...
For me, it suffices to say that the authors did not weakly position their argument as you claimed. I responded because I thought that claim was an attack, and that it was a careless regurgitation of the standard line about correlation.
There's some author discussion here that might help get the points across:
https://www.stone-econ.org/research/unions-and-inequality-ov...
Here, also, is a third-party discussion:
https://journalistsresource.org/economics/inequality-labor-u...
The data that the union papers authors used is here. Scroll to the bottom of the page to find
"Supplementary data | qjab012_Online_Appendix - pdf file"
https://academic.oup.com/qje/article/136/3/1325/6219103