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A revisit to correlation analysis for distortion measurement error data

Jun Zhang, Zhenghui Feng and Bu Zhou

Journal of Multivariate Analysis, 2014, vol. 124, issue C, 116-129

Abstract: In this paper, we consider the estimation problem of a correlation coefficient between unobserved variables of interest. These unobservable variables are distorted in a multiplicative fashion by an observed confounding variable. Two estimators, the moment-based estimator and the direct plug-in estimator, are proposed, and we show their asymptotic normality. Moreover, the direct plug-in estimator is shown asymptotically efficient. Furthermore, we suggest a bootstrap procedure and an empirical likelihood-based statistic to construct the confidence interval. The empirical likelihood statistic is shown to be asymptotically chi-squared. Simulation studies are conducted to examine the performance of the proposed estimators. These methods are applied to analyze the Boston housing price data as an illustration.

Keywords: Correlation coefficient; Distorting function; Measurement error models; Kernel smoothing (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.jmva.2013.10.004

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