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 
Publication Date: 2011
Pages: 22
Keywords: Carryover method
Little and Su method
imputation evaluation framework
HILDA Survey
longitudinal hot deck method
longitudinal nearest neighbour regression 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

Show full item record

Page view(s)

1,802
checked on Mar 29, 2024
Google icon

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.