On social polarization and ordinal variables: the case of self-assessed health

被引:4
作者
Fusco, Alessio [1 ]
Silber, Jacques [1 ,2 ]
机构
[1] CEPS INSTEAD, L-4364 Esch Sur Alzette, Luxembourg
[2] Bar Ilan Univ, Dept Econ, Ramat Gan, Israel
关键词
EU-SILC; Migration; Ordinal information; Self-assessed health; Social polarization; INEQUALITY; INCOME; DIFFERENCE; ORDERINGS; LIFE;
D O I
10.1007/s10198-013-0529-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:841 / 851
页数:11
相关论文
共 50 条
  • [32] Objective vs. subjective fuel poverty and self-assessed health
    Llorca, Manuel
    Rodriguez-Alvarez, Ana
    Jamasb, Tooraj
    ENERGY ECONOMICS, 2020, 87 (87)
  • [33] Self-assessed health and mortality: could psychosocial factors explain the association?
    Mackenbach, JP
    Simon, JG
    Looman, CWN
    Joung, IMA
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2002, 31 (06) : 1162 - 1168
  • [34] The predictive ability of self-assessed health for mortality in different educational groups
    Huisman, Martijn
    van Lenthe, Frank
    Mackenbach, Johan
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2007, 36 (06) : 1207 - 1213
  • [35] Self-assessed health among older people in Europe and internet use
    Tavares, Aida Isabel
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2020, 141
  • [36] General health in Timor-Leste: self-assessed health in a large household survey
    Earnest, Jaya
    Finger, Robert P.
    AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, 2009, 33 (04) : 378 - 383
  • [37] Do Measured and Unmeasured Family Factors Bias the Association Between Education and Self-Assessed Health?
    Monden, Christiaan W. S.
    SOCIAL INDICATORS RESEARCH, 2010, 98 (02) : 321 - 336
  • [38] Health care utilization and self-assessed health: specification of bivariate models using copulas
    Murteira, Jose M. R.
    Lourenco, Oscar D.
    EMPIRICAL ECONOMICS, 2011, 41 (02) : 447 - 472
  • [39] Positive Affectivity, Self-Mastery, and a Sense of Failure as Predictors of Self-Assessed Health
    Pulkkinen, Lea
    Kokkonen, Marja
    Makiaho, Ari
    EUROPEAN PSYCHOLOGIST, 1998, 3 (02) : 133 - 142
  • [40] Improving health equity: changes in self-assessed health across income groups in China
    Zhou, Yuqi
    Yao, Xi
    Jian, Weiyan
    INTERNATIONAL JOURNAL FOR EQUITY IN HEALTH, 2018, 17