Timeline for Interview question: If correlation doesn't imply causation, how do you detect causation?
Current License: CC BY-SA 4.0
10 events
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Dec 16, 2022 at 19:21 | comment | added | GuSuku | @NotThatGuy I think you missed the point that only kids just inside the boundary are considered. | |
Nov 11, 2019 at 0:56 | comment | added | Student | @NotThatGuy For the first thing you mention, the idea is that the epicenter is fairly far from the boundary, and being one block closer to the epicenter should not expose the treated kids to different conditions compared with those one block away, on the other side of the boundary. The second thing sounds like one of the possible mechanisms (mediators for the treatment effect) to me. | |
Nov 11, 2019 at 0:40 | comment | added | NotThatGuy | Your example of regression discontinuity designs actually seems like a good example of where there could be other variables at play to make correlation not imply causation, like being closer to the epicentre of the earthquake (even if only marginally) or the possible psychological effect of being told to not attend school after a potentially traumatic event. | |
Nov 9, 2019 at 3:21 | comment | added | Student | Thank you, @olooney, I added a reference to your comment in the answer | |
Nov 9, 2019 at 3:20 | history | edited | Student | CC BY-SA 4.0 |
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Nov 9, 2019 at 3:09 | comment | added | olooney | Regression discontinuity is theoretically appealing but there are also horror stories like statmodeling.stat.columbia.edu/2018/08/02/38160 so take care before applying it. See princeton.edu/~davidlee/wp/RDDEconomics.pdf for some advice. | |
Nov 9, 2019 at 2:39 | history | edited | Student | CC BY-SA 4.0 |
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Nov 9, 2019 at 0:44 | history | edited | Student | CC BY-SA 4.0 |
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Nov 9, 2019 at 0:32 | history | edited | Student | CC BY-SA 4.0 |
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Nov 9, 2019 at 0:22 | history | answered | Student | CC BY-SA 4.0 |