Handling Compositional Time Series with Varying Number of Parts

Abstract

When different polling organisations conduct political party preference polls at different times, different parties might be reported. If the estimated voter shares of these polls are combined into a time series we obtain a compositional time series, but with varying number of parts, thus prohibiting the use of standard compositional time series analysis tools. We discuss the problem and suggest a solution by imputing the unreported parts. The method is applied to a short compositional time series of party preference polls from Sweden.

Author Biography

Jakob Bergman, Lund University
Department of Statistics, Senior lecturer

References

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Published
2018-09-08
How to Cite
Bergman, J. (2018). Handling Compositional Time Series with Varying Number of Parts. Austrian Journal of Statistics, 47(5), 26-33. https://doi.org/10.17713/ajs.v47i5.738
Section
CoDaWork 2017