Econometric causality

被引：181

作者：

Heckman, James J. ^{[1
,2
,3
]}

机构：

[1] Univ Chicago, Chicago, IL 60637 USA

[2] Amer Bar Fdn, Chicago, IL 60611 USA

[3] Univ Coll Dublin, Geary Inst, Dublin 2, Ireland

来源：

INTERNATIONAL STATISTICAL REVIEW | 2008年 / 76卷 / 01期

关键词：

causality; econometrics; Roy model; Neyman-Rubin model; subjective and objective evaluations; anticipated vs. realized outcomes; counterfactuals; treatment effects;

D O I：

10.1111/j.1751-5823.2007.00024.x

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：1 / 27

页数：27

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