Replication Data for: A unified approach to measuring unequal representation
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/VUBGCJ
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The concept of unequal representation is commonly understood through the lenses of <i>disproportionality</i> and <i>malapportionment</i>, pertaining to <i>inter-party</i> and <i>inter-district</i> aspects, respectively. Popular indices used to measure such features are analyzed separately despite being mathematically identical. District-level <i>wasted votes</i> are not measured in terms of unequal representation, even though they can be conceptualized as <i>intra-district unequal representation</i>. A new component, <i>intra-party unequal representation</i>, which measures unequal representation across districts for voters who support each party, has not been considered to contribute to unequal representation. We propose a unified approach for measuring these components—disproportionality, malapportionment, wasted votes, and intra-party unequal representation—by using α-divergence. We show mathematically that the total of disproportionality and intra-party unequal representation equals that of malapportionment and wasted votes. We apply this approach to the Japanese political system and demonstrate the role of intra-party unequal representation in sustaining disproportionality in favor of the Liberal Democratic Party.
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Harvard Dataverse
创建时间:
2024-02-18



