A simple improvement of the IV estimator for the classical errors-in-variables problem
Jonas Andersson and
No 2009/10, Discussion Papers from Norwegian School of Economics, Department of Business and Management Science
Two measures of an error-ridden explanatory variable make it possible to solve the classical errors-in-variable problem by using one measure as an instrument for the other. It is well known that a second IV estimate can be obtained by reversing the roles of the two measures. We explore a simple estimator that is the linear combination of these two estimates, that minimizes the asymptotic mean squared error. In a Monte Carlo study we show that the gain in precision is significant compared to using only one of the original IV estimates. The proposed estimator also compares well with full information maximum likelihood under normality.
Keywords: Measurement errors; Classical Errors-in-Variables; multiple indicator method; Instrumental variable techniques (search for similar items in EconPapers)
JEL-codes: C13 C30 C80 (search for similar items in EconPapers)
Pages: 18 pages
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Journal Article: A Simple Improvement of the IV-estimator for the Classical Errors-in-Variables Problem (2016)
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