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The Effects of Measurement Error on Two-Stage, Least-Squares Estimates

Published online by Cambridge University Press:  04 January 2017

Donald Philip Green
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Abstract

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Two-stage least squares (2SLS) is a statistical procedure that is used to correct for simultaneity bias and errors in variables. When applied to certain kinds of models, however, 2SLS is itself susceptible to bias as a result of random and nonrandom measurement error in the data. Using data from the 1980 Center for Political Studies panel, I show how different assumptions about measurement error produce radically different impressions about the reciprocal relationship between party identification and presidential performance evaluations.

Type
Research Article
Information
Political Analysis , Volume 2 , 1990 , pp. 57 - 74
Copyright
Copyright © by the University of Michigan 1991 

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