Interesting late night readings (while remembering when I was an economist)
a followup to targeted learning and treatment effects
http://andrewgelman.com/2013/07/30/the-roy-causal-model/
brief comments:
I think people are not careful enough what the expectation operator `E` refers to, what's the relevant probability space.
(I have problems reading formulas that nest several expectation operator without specifying what variable is integrated over.)
By default economists are causal, no need to spell it out. (But it might help.)
(We even have Lucas' critique for two levels of causality.)
statsmodels is causal, we have endog and exog and not y and X.
(But I still don't know what to call the explanatory variables in IV2SLS which is the main reason it's still in the sandbox.)
potential outcomes are implicitly defined by structural equations.
anecdotal observation: articles in econometric theory spend a lot more page space specifying assumptions than articles in statistics
(noncausal population average)
Josef
PS: I'm structural but try to figure out what population averages refer to.