Causal inference with observational data

被引：208

作者：

Nichols, Austin ^{[1
]}

机构：

[1] Urban Inst, Washington, DC 20037 USA

来源：

STATA JOURNAL | 2007年 / 7卷 / 04期

关键词：

st0136; xtreg; psmatch2; nnmatch; ivreg; ivreg2; ivregress; rd; lpoly; xtoverid; ranktest; causal inference; match; matching; reweighting; propensity score; panel; instrumental variables; excluded instrument; weak identification; regression; discontinuity; local polynomial; INSTRUMENTAL VARIABLES ESTIMATION; MATCHING ESTIMATORS; IDENTIFICATION; REGRESSION; BIAS;

D O I：

10.1177/1536867X0700700403

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

Problems with inferring causal relationships from nonexperimental data are briefly reviewed, and four broad classes of methods designed to allow estimation of and inference about causal parameters are described: panel regression, matching or reweighting, instrumental variables, and regression discontinuity. Practical examples are offered, and discussion focuses on checking required assumptions to the extent possible.

引用

页码：507 / 541

页数：35

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