- Tags:: 📚Books
- Author:: Scott Cunningham
- Genre:: Economics, Nonfiction, Mathematics, Textbooks, Science, Business, Research
- Source date:: 2018-01-01
- Audience score:: 8.72
- Link:: https://www.goodreads.com/book/show/41968511-causal-inference?from_search=true&from_srp=nDepxJliX1&qid=1
- ISBN::
- Added to vault date:: 2022-06-10
- Finished date::
- Liked::
- Cover::
Why did I want to read it?
What did I get out of it?
1. Introduction
Rilke said you should quit writing poetry when you can imagine yourself living vithout it (Rilke, 2012). I could imagine living without poetry, so I took his advice and quit. Interestingly, when I later found economics, I went back to Rilke and asked myself if I could live without it. This time, I decided I couldn’t, or wouldn’t—I wasn’t sure which. So I stuck with it and got a PhD. (p. 1)
Human being engaging in optimal behavior are the main reason correlations almost never reveal causal relationships (…). It is the presence of randomness that is crucial for identifying causal effect. (p. 8)
A correlation, in order to be a measure of a causal effect, must be based on a choice that was made independent of the potential outcomes under consideration (p. 9)