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A Comparison of BLS Non-Response Adjustment and Cross-Wave Regression Imputation Methods
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 Title & Authors
A Comparison of BLS Non-Response Adjustment and Cross-Wave Regression Imputation Methods
Lee, Sang-Eun; Shin, Key-Il;
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Cross-wave regression imputation and carry-over imputation method are generally used in the analysis of panel data with missing values. Recently it is known that the BLS non-response adjust method has good statistical properties. In this paper we show that the BLS method can be considered as an imputation method with a similar formula of a ratio-estimator. In addition, we show that the carry-over imputation and BLS imputation are approximately the same under the assumption that data follow a non-stationary process with drift. Small simulation studies and real data analysis are performed. For the real data analysis, a monthly labor statistic (2007) is used.
Panel data;missing value;cross-wave regression imputation;carry-over imputation;BLS non-response adjust method;
 Cited by
순차 적응 최근접 이웃을 활용한 결측값 대치법,박소현;방성완;전명식;

응용통계연구, 2011. vol.24. 6, pp.1249-1257 crossref(new window)
수정된 BLS 가중치보정법,박정준;조기종;이상은;신기일;

Communications for Statistical Applications and Methods, 2011. vol.18. 3, pp.367-376 crossref(new window)
On the Use of Sequential Adaptive Nearest Neighbors for Missing Value Imputation, Korean Journal of Applied Statistics, 2011, 24, 6, 1249  crossref(new windwow)
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