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In this paper we propose a novel explanation of the role of normality in causal cognition by appeal to the idea that many cognitive processes—including those ...
We offer an account of the role of normality—both statisti-cal and prescriptive—in judgments of actual causation. Us-ing only standard tools from the ...
Causality, Normality, and Sampling Propensity ... Contributors: Jonathan F. Kominsky. Date created: 2016-05-05 07:47 PM | Last Updated: 2023-07-25 07:23 AM.
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Existing research suggests that people's judgments of actual causation can be influenced by the degree to which they regard certain events as normal.
Propensity score weighting is saying that we should expect treated individuals to be 0.38 standard deviations above their untreated fellows, in terms of ...
Existing research suggests that people's judgments of actual causation can be influenced by the degree to which they regard certain events as normal.
Missing: Propensity. | Show results with:Propensity.
Instead, sampling propensities might be proportional to overall normality. In other words, sampling propensities may be impacted by a blend of statistical and ...
In this paper we propose a specific class of estimators of average causal effects that requires relatively few decisions to be made operational. Our estimators ...
Today's lecture is about estimation of average treatment effects in RCTs in terms of the potential outcomes model, and discusses the role of regression.
Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies, ...