issue_attention_diversity

0th

Percentile

Issue Attention Diversity

Effective number of Manifesto Issues suggested by Zac Greene. When using the measure please cite Greene 2015 (see reference below)

Usage
issue_attention_diversity(data, method = "shannon", prefix = "per",
  include_variables = paste0(prefix, setdiff(v4_categories(), "uncod")),
  aggregate_categories = list(c(101, 102), c(104, 105), c(107, 109), c(108,
  110), c(203, 204), c(301, 302), c(406, 407), c(409, 414), c(504, 505), c(506,
  507), c(601, 602), c(603, 604), c(607, 608), c(701, 702)))
Arguments
data

a data.frame in format of Manifesto Project Main Dataset

method

entropy measure used for the effective number of manifesto issues. Possible options are "shannon" for Shannon's H and "herfindahl" for the Herfindahl-Index.

prefix

Prefix of variable names to use (usually "per")

include_variables

names of variables to include

aggregate_categories

list of category groups to aggregate into one issue. Default to selection used in Greene 2015

References

Greene, Z. (2015). Competing on the Issues How Experience in Government and Economic Conditions Influence the Scope of Parties' Policy Messages. Party Politics.

Aliases
  • issue_attention_diversity
Documentation reproduced from package manifestoR, version 1.2.4, License: GPL (>= 3)

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