Issue salience, attention and valence

AttentionPunctuation: kurtosis and L-kurtosis of pooled percentage changes in issue attention (Jones and Baumgartner). ValenceConvergence: Schofield's convergence coefficient and characteristic matrix for the mean-voter equilibrium with valence. StructureInducedEquilibrium: Shepsle's issue-by-issue weighted median. Identical to the Python arm morie.fn.salience.

Usage

AttentionPunctuation(series)

ValenceConvergence(ideals, valence, beta)

StructureInducedEquilibrium(ideals, weights = NULL)

Arguments

series

List of attention (or budget) series, one per issue.

ideals

Voter ideal points (matrix, one row per voter).

valence

Party valences.

beta

Spatial coefficient.

weights

Optional voter weights.

Value

A list, or a numeric vector for StructureInducedEquilibrium.

References

Jones, B. D. and Baumgartner, F. R. (2005). The Politics of Attention. University of Chicago Press.

Hosking, J. R. M. (1990). L-moments. Journal of the Royal Statistical Society B 52, 105-124.

Schofield, N. (2007). The mean voter theorem: necessary and sufficient conditions for convergent equilibrium. Review of Economic Studies 74, 965-980.

Shepsle, K. A. (1979). Institutional arrangements and equilibrium in multidimensional voting models. American Journal of Political Science 23, 27-59.

Examples

AttentionPunctuation(list(c(10, 11, 10, 30, 29), c(5, 5, 6, 6, 2)))$l_kurtosis
#> [1] 0.7932664
StructureInducedEquilibrium(rbind(c(0, 3), c(2, 1), c(1, 0)))
#> [1] 1 1