Alternative Approaches to Evaluation in Empirical Microeconomics

被引：407

作者：

Blundell, Richard ^{[1
]}

Dias, Monica Costa ^{[2
]}

机构：

[1] UCL, London WC1E 6BT, England

[2] Univ Porto, Ctr Econ & Finance, Oporto, Portugal

来源：

JOURNAL OF HUMAN RESOURCES | 2009年 / 44卷 / 03期

基金：

英国经济与社会研究理事会;

关键词：

INSTRUMENTAL VARIABLES; SAMPLE SELECTION; SEMIPARAMETRIC ESTIMATION; TRAINING-PROGRAMS; NONPARAMETRIC-ESTIMATION; PROPENSITY SCORE; MODELS; IDENTIFICATION; BIAS; EARNINGS;

D O I：

10.1353/jhr.2009.0009

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper reviews some of the most popular policy evaluation methods in empirical microeconomics: social experiments, natural experiments. matching, instrumental variables, discontinuity design. and control functions. It discusses identification of traditionally used average parameters and more complex distributional parameters. The adequacy, assumptions, and data requirements of each approach are discussed, drawing on empirical evidence from the education and employment policy evaluation literature. A workhorse simulation model of education and earnings is used throughout the paper to discuss and illustrate each approach. The full set of STATA data sets and do files are available free online and can be used to reproduce all estimation results.

引用

页码：565 / 640

页数：76

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