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

Shawn Bauldry ()
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Shawn Bauldry: University of Alabama at Birmingham

Stata Journal, 2014, vol. 14, issue 1, 60-75

Abstract: 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. Copyright 2014 by StataCorp LP.

Keywords: miivfind; structural equation models; instrumental-variable estimators; model-implied instrumental variables (search for similar items in EconPapers)
Date: 2014
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