Publication:
The composition of descriptive representation

Loading...
Thumbnail Image

Institution Authors

Research Projects

Journal Title

Journal ISSN

Volume Title

Type

Article

Access

info:eu-repo/semantics/openAccess
Attribution-NonCommercial 4.0 International

Publication Status

Published online

Creative Commons license

Except where otherwised noted, this item's license is described as info:eu-repo/semantics/openAccess

Journal Issue

Abstract

How well do governments represent the societies they serve? A key aspect of this question concerns the extent to which leaders reflect the demographic features of the population they represent. To address this important issue in a systematic manner, we propose a unified approach for measuring descriptive representation. We apply this approach to newly collected data describing the ethnic, linguistic, religious, and gender identities of over fifty thousand leaders serving in 1,552 political bodies across 156 countries. Strikingly, no country represents social groups in rough proportion to their share of the population. To explain this shortfall, we focus on compositional factors - the size of political bodies as well as the number and relative size of social groups. We investigate these factors using a simple model based on random sampling and the original data described above. Our analyses demonstrate that roughly half of the variability in descriptive representation is attributable to compositional factors.

Date

2023

Publisher

Cambridge University Press

Description

Keywords

Citation


Page Views

0

File Download

0