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Statistical Matching Techniques Using the Robust Regression Model
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 Title & Authors
Statistical Matching Techniques Using the Robust Regression Model
Jhun, Myoung-Shic; Jung, Ji-Song; Park, Hye-Jin;
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Statistical matching techniques whose aim is to achieve a complete data file from different sources. Since the statistical matching method proposed by Rubin (1986) assumes the multivariate normality for data, using this method to data which violates the assumption would involve some problems. This research proposed the statistical matching method using robust regression as an alternative to the linear regression. Furthermore, we carried out a simulation study to compare the performance of the robust regression model and the linear regression model for the statistical matching.
Statistical matching method;robust regression model;correlation;coefficient of determination;
 Cited by
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Rubin, D. B. (1986). Statistical matching using file concatenation with adjusted weights and multiple imputations, Journal of Business & Economic Statistics, 4, 87-94 crossref(new window)