JOURNAL ARTICLE

Measuring Social Polarization with Ordinal and Categorical Data

Iñaki PermanyerConchita D’Ambrosio

Year: 2013 Journal:   Journal of Public Economic Theory Vol: 17 (3)Pages: 311-327   Publisher: Wiley

Abstract

Abstract We examine the measurement of social polarization with categorical and ordinal data. We partition the society into groups on the basis of salient social characteristics, such as race and ethnicity, and we take into account the extent to which these groups are clustered in certain regions of an attribute's distribution. This is particularly useful in many contexts where cardinal data are not available. The new measures we propose are characterized axiomatically.

Keywords:
Categorical variable Ordinal data Salient Polarization (electrochemistry) Partition (number theory) Ethnic group Econometrics Sociology Economics Mathematics Statistics Computer science Artificial intelligence Combinatorics Anthropology

Metrics

28
Cited By
4.72
FWCI (Field Weighted Citation Impact)
22
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Culture, Economy, and Development Studies
Social Sciences →  Social Sciences →  Demography
Opinion Dynamics and Social Influence
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Electoral Systems and Political Participation
Social Sciences →  Social Sciences →  Political Science and International Relations

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