TY - JOUR
T1 - On social polarization and ordinal variables: the case of self-assessed health.
AU - Fusco, Alessio
AU - Silber, Jacques
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Social polarization refers to the measurement of the distance between different social groups, defined on the basis of variables such as race, religion, or ethnicity. We propose two approaches to measuring social polarization in the case where the distance between groups is based
on an ordinal variable, such as self-assessed health status. The first one, the 'stratification approach', amounts to assessing the degree of non-overlapping of the distributions of the ordinal variable between the different population subgroups that are distinguished. The second one, the
'antipodal approach', considers that the social polarization of an ordinal variable will be maximal if the individuals belonging to a given population subgroup are in the same health category, this category corresponding either to the lowest or to the highest health status. An empirical illustration
is provided using the 2009 cross-sectional data of the European Union Statistics on Income and Living
Conditions (EU-SILC). We find that Estonia, Latvia, and Ireland have the highest degree of social polarization when the ordinal variable under scrutiny refers to self-assessed health status and the (unordered) population subgroups to the citizenship of the respondent whereas Luxembourg is the country with the lowest degree of social polarization in health.
AB - Social polarization refers to the measurement of the distance between different social groups, defined on the basis of variables such as race, religion, or ethnicity. We propose two approaches to measuring social polarization in the case where the distance between groups is based
on an ordinal variable, such as self-assessed health status. The first one, the 'stratification approach', amounts to assessing the degree of non-overlapping of the distributions of the ordinal variable between the different population subgroups that are distinguished. The second one, the
'antipodal approach', considers that the social polarization of an ordinal variable will be maximal if the individuals belonging to a given population subgroup are in the same health category, this category corresponding either to the lowest or to the highest health status. An empirical illustration
is provided using the 2009 cross-sectional data of the European Union Statistics on Income and Living
Conditions (EU-SILC). We find that Estonia, Latvia, and Ireland have the highest degree of social polarization when the ordinal variable under scrutiny refers to self-assessed health status and the (unordered) population subgroups to the citizenship of the respondent whereas Luxembourg is the country with the lowest degree of social polarization in health.
KW - EU-SILC
KW - migration
KW - ordinal information
KW - self-assessed health
KW - social polarization
U2 - http://dx.10.1007/s10198-013-0529-5
DO - http://dx.10.1007/s10198-013-0529-5
M3 - Article
SN - 1618-7598
VL - 15
SP - 841
EP - 851
JO - European Journal of Health Economics
JF - European Journal of Health Economics
ER -