A Robust Approach of Regression-Based Statistical Matching for Continuous DataA Robust Approach of Regression-Based Statistical Matching for Continuous Data
- Other Titles
- A Robust Approach of Regression-Based Statistical Matching for Continuous Data
- Authors
- 손순철; 전명식
- Issue Date
- 2012
- Publisher
- 한국통계학회
- Keywords
- Donor file; recipient file; matched file; common variable; unique variable; statistical matching.
- Citation
- 응용통계연구, v.25, no.2, pp.331 - 339
- Indexed
- KCI
- Journal Title
- 응용통계연구
- Volume
- 25
- Number
- 2
- Start Page
- 331
- End Page
- 339
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/109901
- ISSN
- 1225-066X
- Abstract
- Statistical matching is a methodology used to merge microdata from two (or more) files into a single matched file, the variants of which have been extensively studied. Among existing studies, we focused on Moriarity and Scheuren's (2001) method, which is a representative method of statistical matching for continuous data. We examined this method and proposed a revision to it by using a robust approach in the regression step of the procedure. We evaluated the efficiency of our revised method through simulation studies using both simulated and real data, which showed that the proposed method has distinct advantages over existing alternatives.
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Collections - College of Political Science & Economics > Department of Statistics > 1. Journal Articles
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