Temporal dependence in longitudinal paired comparisons

Publication type

Research Paper

Series Number

67

Series

Vienna University of Economics and Business: Department of Statistics and Mathematics Research Report Series

Authors

Publication date

July 1, 2008

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. (authorĀ“s abstract)

Subject

Link

- http://epub.wu-wien.ac.at/dyn/virlib/wp/showentry?ID=epub-wu-01_d9b&from=DL

#512335

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