The composition of descriptive representation

Title The composition of descriptive representation
Author Gerring, J., Jerzak, C. T., Öncel, Erzen
Publication Date: 2023
Publication Place - Cambridge University Press
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 2-s2.0-85170686146
Record ID 2dd0b6e7-72aa-4e62-a3ac-94a1f1551b4b
Library Location International Relations
Date 2023
Notes Frederick S. Pardee Center ; World Bank Group ; Boston University ; Cornell University
Sample Text 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.
DOI 10.1017/S0003055423000680
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The composition of descriptive representation

Author Gerring, J., Jerzak, C. T., Öncel, Erzen
Publication Date 2023
Publication Place - Cambridge University Press
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 2-s2.0-85170686146
Record ID 2dd0b6e7-72aa-4e62-a3ac-94a1f1551b4b
Library Location International Relations
Date 2023
Notes Frederick S. Pardee Center ; World Bank Group ; Boston University ; Cornell University
Sample Text 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.
DOI 10.1017/S0003055423000680
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