Econometric Methods for Program Evaluation

被引：221

作者：

Abadie, Alberto ^{[1
]}

Cattaneo, Matias D. ^{[2
,3
]}

机构：

[1] MIT, Dept Econ, Cambridge, MA 02142 USA

[2] Univ Michigan, Dept Econ, Ann Arbor, MI 48109 USA

[3] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA

来源：

ANNUAL REVIEW OF ECONOMICS, VOL 10 | 2018年 / 10卷

基金：

美国国家科学基金会;

关键词：

causal inference; policy evaluation; treatment effects; REGRESSION DISCONTINUITY DESIGNS; EFFICIENT SEMIPARAMETRIC ESTIMATION; DOUBLY ROBUST ESTIMATION; INSTRUMENTAL VARIABLES; PROPENSITY SCORE; CAUSAL INFERENCE; MATCHING ESTIMATORS; SAMPLE PROPERTIES; IDENTIFICATION; RANDOMIZATION;

D O I：

10.1146/annurev-economics-080217-053402

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Program evaluation methods are widely applied in economics to assess the effects of policy interventions and other treatments of interest. In this article, we describe the main methodological frameworks of the econometrics of program evaluation. In the process, we delineate some of the directions along which this literature is expanding, discuss recent developments, and highlight specific areas where new research may be particularly fruitful.

引用

页码：465 / 503

页数：39

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