Please use this identifier to cite or link to this item: https://hdl.handle.net/10620/17622
Longitudinal Study: HILDA
Title: Evaluation of Alternative Income Imputation Methods for a Longitudinal Survey
Authors: Watson, N 
Starick, R 
Issue Date: 2011
Pages: 22
Keywords: longitudinal nearest neighbour regression method
imputation evaluation framework
HILDA Survey
Carryover method
longitudinal hot deck method
Little and Su method
Abstract: This article evaluates various methods for imputing income in a household-based longitudinal survey. Eight longitudinal methods are evaluated in a simulation study using five waves of data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The quality of the imputed data is evaluated by considering eleven criteria that measure the predictive, distributional and estimation accuracy of the cross-sectional estimates and the estimates of change between waves. Many of the imputation methods perform well cross-sectionally, but when the methods are placed in a longitudinal context their strengths and weaknesses are more apparent. The method that combines the Little and Su method with the population carryover method performs the best overall.
URL: http://www.jos.nu/Articles/abstract.asp?article=274693
Keywords: Surveys and Survey Methodology
Research collection: Journal Articles
Appears in Collections:Journal Articles

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