Causal effects and counterfactual conditionals
Contrasting Rubin, Lewis and Pearl
Bibliographic Data
| ID | 21499028 |
|---|---|
| Authors | Keith A Markus (0000-0002-2341-4826, John Jay College of Criminal Justice, corresponding author) |
| Year | 2021 |
| Volume | 37 |
| Issue | 3 |
| Pages | 441-461 |
| Publication date | 2021-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economics and Philosophy (JOURNAL) |
| Journal identifiers | ISSN: 0266-2671 • E-ISSN: 1474-0028 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0266267120000437 |
| OpenAlex | W3129643524 |
| Language | EN |
| Citations received | 1 |
| References cited | 55 |
Rubin and Pearl offered approaches to causal effect estimation and Lewis and Pearl offered theories of counterfactual conditionals. Arguments offered by Pearl and his collaborators support a weak form of equivalence such that notation from the rival theory can be re-purposed to express Pearl’s theory in a way that is equivalent to Pearl’s theory expressed in its native notation. Nonetheless, the many fundamental differences between the theories rule out any stronger form of equivalence. A renewed emphasis on comparative research can help to guide applications, further develop each theory, and better understand their relative strengths and weaknesses
Causal inference · Causal theory of reference · Counterfactual conditional · Counterfactual thinking · Econometrics · Epistemology · Linguistics · Mathematical economics · Notation · Pearl · Sociology · Strengths and weaknesses · Advanced Causal Inference Techniques · Bayesian Modeling and Causal Inference · Decision-Making and Behavioral Economics · Mathematics · Philosophy
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Causal Asymmetries
Causal Inference for Statistics, Social, and Biomedical Sciences
Causality
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Eight Myths About Causality and Structural Equation Models
Causation as Influence
Grounding in the image of causation
A Theory of Conditionals
Causation
Randomization Analysis of Experimental Data
The design versus the analysis of observational studies for causal effects
Bayesian Inference for Causal Effects
The central role of the propensity score in observational studies for causal effects
Estimating causal effects of treatments in randomized and nonrandomized studies.
Statistics and Causal Inference
Efficient Causation
Papers in Metaphysics and Epistemology
A Counterexample to Modus Ponens 1
A Counterexample to Modus Ponens
Consistent Treatment of Variables and Causation Poses a Challenge for Behavioral Research Methods
A Philosophical Guide to Conditionals
Causal counterfactuals are not interventionist counterfactuals
An incremental approach to causal inference in the behavioral sciences
The problem of variable choice
Rescued from the Rubbish Bin
Nomic Probability and the Foundations of Induction
Interventionism and Causal Exclusion
Causal Powers
Constitutive Relevance, Mutual Manipulability, and Fat-Handedness
Graded Causation and Defaults
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |