Dong, Zili
(2022)
Well-Defined Interventions and Causal Variable Choice.
[Preprint]
![[img]](https://philsci-archive.pitt.edu/21557/1.hassmallThumbnailVersion/well-defined-interventions-and-causal-variable-choice.pdf)  Preview |
|
Text
well-defined-interventions-and-causal-variable-choice.pdf
- Accepted Version
Download (434kB)
| Preview
|
Abstract
There has been much debate among scientists and philosophers about what it means for (hypothetical) interventions invoked in causal inference to be “well-defined” and how considerations of this sort should constrain the choice of causal variables. In this paper, I propose that an intervention is well-defined just in case the effect of interest is well-defined, and that the intervention can serve as a suitable means to identify that effect. Based on this proposal, I identify several types of ambiguous intervention. Implications for variable choice are discussed using case studies drawn from the sciences.
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |