miivfind: A command for identifying model-implied instrumental variables for structural equation models in Stata

被引:7
|
作者
Bauldry, Shawn [1 ]
机构
[1] Univ Alabama Birmingham, Dept Sociol, Birmingham, AL 35233 USA
来源
STATA JOURNAL | 2014年 / 14卷 / 01期
关键词
st0324; miivfind; structural equation models; instrumental-variable estimators; model-implied instrumental variables; LEAST-SQUARES; 2SLS; ESTIMATOR; SPECIFICATION; TESTS;
D O I
10.1177/1536867X1401400105
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
This article presents a new Stata command, miivfind, that implements an algorithm developed by Bollen and Bauer (2004, Sociological Methods and Research 32: 425-452) to find the model-implied instrumental variables (MIIVs) from an identified structural equation model. MIIVs allow researchers to draw on instrumental-variable estimators, such as two-stage least-squares estimators, to obtain estimates for the parameters of a hypothesized structural equation model. It can be difficult to identify MIIVs by inspection of either a diagram of the model or the model equations. Two examples are provided that illustrate the use of miivfind to identify MIIVs and some of the advantages of a MIIV estimator as compared with a maximum likelihood estimator. By assisting in the process of finding MIIVs, miivfind facilitates the use of an alternative class of estimators, instrumental-variable estimators, to the standard maximum-likelihood and asymptotic-distribution free estimators available for structural equation models.
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页码:60 / 75
页数:16
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