Lin, Hanti (2024) The Logic of Counterfactuals and the Epistemology of Causal Inference. In: UNSPECIFIED.
Text
logi count & epi caus 10.pdf Download (813kB) |
Abstract
The 2021 Nobel Prize in Economics recognized a theory of causal inference that warrants more attention from philosophers. To this end, I design a tutorial on that theory for philosophers and develop a dialectic that connects to a traditional debate in philosophy: the Lewis-Stalnaker debate on Conditional Excluded Middle (CEM). I first defend CEM, presenting a new Quine-Putnam indispensability argument based on the Nobel-winning application of the Rubin causal model (the potential outcome framework). Then, I switch sides to challenge this argument, introducing an updated version of the Rubin causal model that preserves the successful application while dispensing with CEM.
Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
Social Networking: |
Item Type: | Conference or Workshop Item (UNSPECIFIED) | ||||||
---|---|---|---|---|---|---|---|
Creators: |
|
||||||
Keywords: | Causal Inference, Counterfactuals, Epistemology, Philosophy of Social and Health Sciences, Philosophy of Language | ||||||
Subjects: | General Issues > Causation General Issues > Confirmation/Induction Specific Sciences > Economics Specific Sciences > Medicine > Epidemiology Specific Sciences > Probability/Statistics |
||||||
Depositing User: | Dr. Hanti Lin | ||||||
Date Deposited: | 16 Nov 2024 13:40 | ||||||
Last Modified: | 16 Nov 2024 13:40 | ||||||
Item ID: | 24222 | ||||||
Subjects: | General Issues > Causation General Issues > Confirmation/Induction Specific Sciences > Economics Specific Sciences > Medicine > Epidemiology Specific Sciences > Probability/Statistics |
||||||
Date: | 15 November 2024 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/24222 |
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
View Item |