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The Effects of Measurement Error on Two-Stage, Least-Squares Estimates
Published online by Cambridge University Press: 04 January 2017
Abstract
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.
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- Copyright © by the University of Michigan 1991
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