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Errors in Variables: A Consistent Estimator with Smaller MSE in Finite Samples
Journal of the American Statistical Association
Vol. 69, No. 348 (Dec., 1974), pp. 990-996
Stable URL: http://www.jstor.org/stable/2286177
Page Count: 7
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This article develops and examines the small sample properties of alternative estimators when the data is suspected to contain measurement error. Two types of estimators are considered: (1) a linear combination of the OLS and instrumental variable (IV) estimators and (2) a method of choosing between the OLS and IV estimators on the basis of sample information. Large sample approximations are used to derive optimal procedures that are then evaluated by Monte Carlo experiments to obtain the mean square error for small and moderate size samples.
Journal of the American Statistical Association © 1974 American Statistical Association