This paper contributes to the debate on the virtues and vices of counterfactuals as a basis for causal inference. The goal is to put the counterfactual approach in an epistemological perspective. We discuss a number of issues, ranging from its non-observable basis to the parallelisms drawn between the counterfactual approach in statistics and in philosophy. We argue that the question is not to oppose or to endorse the counterfactual approach as a matter of principle, but to decide what modelling framework is best to adopt depending on the research context
Experiments, thought experiments and computer simulations are often used to study counterfactual sce...
<p>A successful theory of causal reasoning should be able to account for inferences about counterfac...
Counterfactual theories of causation of the sort presented in Mackie, 1974, and Lewis, 1973 are a fa...
Abstract Background The counterfactual or potential outcome model has become increasingly standard f...
This paper defends the claim that counterfactuals with certain features play a central role in causa...
I develop an account of counterfactual conditionals using “causal models”, and argue that this accou...
In this paper I survey the psychological literature on counterfactual availability. While humans ha...
To identify the appropriate action to take, an intelligent agent must infer the causal effects of ev...
In this report, I first review the evolution of ideas of causation as it relates to causal inference...
Ordinarily counterfactuals are seen as making statements about states of affairs, a...
“We may define a cause to be an object, followed by another, and where all the objects similar to th...
Counterfactuals are a hot topic in economics today, at least among economists concerned with methodo...
Abstract: Recent work on the interpretation of counterfactual conditionals has paid much attention t...
Bradford Hill's considerations published in 1965 had an enormous influence on attempts to separate c...
This thesis represents a contribution to the study of causal and counterfactual reasoning. In six ex...
Experiments, thought experiments and computer simulations are often used to study counterfactual sce...
<p>A successful theory of causal reasoning should be able to account for inferences about counterfac...
Counterfactual theories of causation of the sort presented in Mackie, 1974, and Lewis, 1973 are a fa...
Abstract Background The counterfactual or potential outcome model has become increasingly standard f...
This paper defends the claim that counterfactuals with certain features play a central role in causa...
I develop an account of counterfactual conditionals using “causal models”, and argue that this accou...
In this paper I survey the psychological literature on counterfactual availability. While humans ha...
To identify the appropriate action to take, an intelligent agent must infer the causal effects of ev...
In this report, I first review the evolution of ideas of causation as it relates to causal inference...
Ordinarily counterfactuals are seen as making statements about states of affairs, a...
“We may define a cause to be an object, followed by another, and where all the objects similar to th...
Counterfactuals are a hot topic in economics today, at least among economists concerned with methodo...
Abstract: Recent work on the interpretation of counterfactual conditionals has paid much attention t...
Bradford Hill's considerations published in 1965 had an enormous influence on attempts to separate c...
This thesis represents a contribution to the study of causal and counterfactual reasoning. In six ex...
Experiments, thought experiments and computer simulations are often used to study counterfactual sce...
<p>A successful theory of causal reasoning should be able to account for inferences about counterfac...
Counterfactual theories of causation of the sort presented in Mackie, 1974, and Lewis, 1973 are a fa...