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We propose a remedy for the discrepancy between the way political scientists analyze data with missing values and the recommendations of the statistics community. Methodologists and statisticians agre...
In data fusion, data owners seek to combine datasets with disjoint observations and distinct variables to estimate relationships among the variables. One approach is to concatenate the files, sp...
The income and wealth imputation for the HILDA Survey was implemented using a nearest neighbour regression method. A regression model for the variable of interest was used to identify a record wit...
The HILDA Survey aims to collect data from a representative sample of Australian households and residents. However no survey can ensure that this collection process is perfect and this is especial...
This paper discusses various issues surrounding the use of imputation in the Household, Income and Labour Dynamics in Australia (HILDA) Survey and seeks a way towards an imputation strategy. While...
All large-scale surveys, including longitudinal surveys, have non-response and various weighting and imputation strategies are employed to address this problem. There are three types of non-response i...
With the release of 2004 data from the Consumer Expenditure Survey, the Bureau of Labor Statistics began implementing imputation for missing responses to questions about income; imputation has brough...
The impact of income imputation in the Consumer Expenditure Survey。
The Consumer Expenditure (CE) Survey now provides imputed income data from 2004 forward for households that fail to report a specific income value. This study examines how income imputation affects an...

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