期刊
INTERNATIONAL STATISTICAL REVIEW
卷 76, 期 1, 页码 1-27出版社
WILEY
DOI: 10.1111/j.1751-5823.2007.00024.x
关键词
causality; econometrics; Roy model; Neyman-Rubin model; subjective and objective evaluations; anticipated vs. realized outcomes; counterfactuals; treatment effects
This paper presents the econometric approach to causal modelling. It is motivated by policy problems. New causal parameters are defined and identified to address specific policy problems. Economists embrace a scientific approach to causality and model the preferences and choices of agents to infer subjective (agent) evaluations as well as objective outcomes. Anticipated and realized subjective and objective outcomes are distinguished. Models for simultaneous causality are developed. The paper contrasts the Neyman-Rubin model of causality with the econometric approach.
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