Temporal Dependence in Longitudinal Paired Comparisons

Regina Dittrich, Brian Francis, Walter Katzenbeisser

Publication: Working/Discussion PaperWU Working Paper

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Abstract

This paper develops a new approach to the analysis of longitudinal paired comparison data, where comparisons of the same objects by the same judges are made on more than one occasion. As an alternative to other recent approaches to such data, which are based on Kalman filter- ing, our approach treats the problem as one of multivariate multinomial data, allowing dependence terms between comparisons over time to be incorporated. The resulting model can be fitted as a Poisson log-linear model and has parallels with the quadratic binary exponential distribution of Cox. An example from the British Household Panel Survey illustrates the approach.
Original languageEnglish
Place of PublicationWien
DOIs
Publication statusPublished - 1 Oct 2008

Publication series

SeriesResearch Report Series / Department of Statistics and Mathematics
Number67

WU Working Paper Series

  • Research Report Series / Department of Statistics and Mathematics

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