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?:abstract
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Attrition due to unit nonresponse is a crucial problem in panel surveys. The construction of longitudinal weights is one strategy to tackle this and to adjust for the resulting bias. Driven by birth, death and migration, the composition of a population changes over time. As a result of population dynamics longitudinal weights have to take cross-sectional adjustment into account. In several panel surveys refreshment samples are used to control population dynamics design-based. While there are different approaches to deal with population dynamics, e.g. weighting and refreshment samples, little is written about the extent and impact of these dynamics. Given the methodological discussion on taking dynamics into account by such strategies, the paper addresses this shortcoming using electoral populations in Germany as an example. In the paper two different methods are applied. First, official population statistics are used to estimate the extent of population change. Second, cross-section datasets are pooled to estimate the impact of population change on specific variables, e.g. political interest. Therefore, decomposition methods are used to entangle within and between cohort change. In consequence, the impact of birth and death is determined and conclusions are drawn on the need to adjust and correct for population dynamics.
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?:author
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?:comment
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GLES-Bibliography
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?:dateCreated
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3. Fassung, März 2014
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?:datePublished
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?:name
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What is the extent and impact of population dynamics we desperately try to adjust for?
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?:publicationType
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inproceedings
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?:reference
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5. Conference of the European Survey Research Association (ESRA)
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Bibsonomy
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In 5. Conference of the European Survey Research Association (ESRA), 2013
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?:startDate
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15.07.-19.07.2013
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German Longitudinal Election Study (GLES)
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2013
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FDZ_Wahlen
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GLES
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GLES_input2013
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GLES_pro
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GLES_version3
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ZA5302
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checked
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inproceedings
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