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http://dx.doi.org/10.5351/KJAS.2019.32.3.375

Composite estimation type weighting adjustment for bias reduction of non-continuous response group in panel survey  

Choi, Hyunga (Employment Statistics Survey Team, Korea Employment Information Service)
Kim, Youngwon (Department of Statistics, Sookmyung Women's University)
Publication Information
The Korean Journal of Applied Statistics / v.32, no.3, 2019 , pp. 375-389 More about this Journal
Abstract
Sample attrition according to a long-term tracking reduces the representativeness of the sample data in a panel study. Most panel surveys in South Korea and other countries have prepared response adjustment weights in order to solve problems regarding representativeness due to sample attrition. In this paper, we divided the panel data into continuous response group and non-continuous response group according to response patterns and considered a weighting adjustment method to reduce the bias of the non-continuous response group. A simulation indicated that the proposed composite estimation type weighting method, which reflected the characteristics of non-continuous response groups, could be more efficient than other weighting methods in terms of reducing non-response bias. As a case study, the proposed methods are applied to the Korean Longitudinal Study of Ageing (KLoSA) data of the Korea Employment Information Service.
Keywords
panel survey; weight; composite estimation type weight; non-continuous response group;
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