| > 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. 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 |
But statistical causality - things like Granger causality for example - aren't, in reality, establishing causality. They're statistical properties. You can't ever establish causality from statistical data. Eg, if I light a log on fire there will be bright light and later on there will be ash. If you have a timeseries of luminosity and quantity of ash present, bright light will be Granger-causal of ash. But in reality we know that bright light isn't causing the ash; the situation is we are analysing a bonfire.
You've got a group of people there in that analysis article that aren't very good at interpreting results. They're looking at a time of extreme turmoil, they've picked 2 random timeseries that are responding to underlying causes and assuming that they are the entire story. They can't do that, it isn't a valid argument. It isn't a thorough enough treatment. In analogy, they're missing the fire for the light. There isn't particularly strong evidence that unions do anything on their own at the macro level; especially since the economic regime was just very different in an era where the available energy supplied was cheap and quantity was rapidly increasing.
> For me, it suffices to say that the authors did not weakly position their argument as you claimed.
I never said they weakly positioned their argument, their argument is watertight, they developed a data set and analysed it. Found a bunch of interesting statistical facts. Solid academic work. camdat weakly positioned his argument.