The Econometric Model for Causal Policy Analysis

被引：8
|
作者：
Heckman, James J. [1 ]
Pinto, Rodrigo [2 ]
机构：
[1] Univ Chicago, Dept Econ, Chicago, IL 60637 USA
[2] Univ Calif Los Angeles, Dept Econ, Los Angeles, CA 90024 USA
来源：
ANNUAL REVIEW OF ECONOMICS | 2022年 / 14卷
关键词：
policy analysis; econometric models; causality; identification; causal calculus; directed acyclic graphs; treatment effects; INSTRUMENTAL VARIABLES; NONPARAMETRIC IDENTIFICATION; SELECTION BIAS; INFERENCE; CHOICE; UNCERTAINTY; EQUATIONS; RESPONSES; DIAGRAMS;
D O I：
10.1146/annurev-economics-051520-015456
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This article discusses the econometric model of causal policy analysis and two alternative frameworks that are popular in statistics and computer science. By employing the alternative frameworks uncritically, economists ignore the substantial advantages of an econometric approach, and this results in less informative analyses of economic policy. We show that the econometric approach to causality enables economists to characterize and analyze a wider range of policy problems than is allowed by alternative approaches.
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页码：893 / 923
页数：31
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