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Poll of Polls: A Compositional Loess Model

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  • Jakob Bergman
  • Björn Holmquist

Abstract

type="main" xml:id="sjos12023-abs-0001"> A large number of polls on party preferences are published today. In order to obtain an estimate of the changes in political opinion, the polls may be combined into a poll of polls. We discuss a method for combining polls using the fact that they are compositions and respecting the properties of the compositional sample space (the simplex). The method is easily implemented and the estimate may be computed in linear time. We provide an example with Swedish data from year 2007 to 2010. The method also allows us to present the deviations between the estimated compositions and the observed. In the data set, we note, for example, differences between different polling institutes.

Suggested Citation

  • Jakob Bergman & Björn Holmquist, 2014. "Poll of Polls: A Compositional Loess Model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(2), pages 301-310, June.
    • Handle: RePEc:bla:scjsta:v:41:y:2014:i:2:p:301-310
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    File URL: http://hdl.handle.net/10.1111/sjos.12023
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    Cited by:

    1. Juan M.C. Larrosa, 2017. "Compositional Time Series: Past and Perspectives," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 1, pages 1-1, June.
    2. de Carvalho, Miguel & Martos, Gabriel, 2020. "Brexit: Tracking and disentangling the sentiment towards leaving the EU," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1128-1137.

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