Session 4 Examples of discrimination in the field

Session 4. Examples of discrimination in the field of social protection • Why does this lady has a greater chance of being discriminated in the field of social protection?

Criteria Age Sex Race, ethnic origin, colour Nationality or national extraction, national minority, language Disability, health, genetic features Social origin, fortune, birth, property Sexual orientation Religion, political … Examples of discrimination in the field of social protection?

Criteria Examples of discrimination in the field of social protection? Age: if they did not contribute to any pension scheme during their active life, they can only rely on family support in oldage … Also discrimination linked to employment (more difficult to get a job, therefore to be covered) Sex: In many pension schemes, calculation of benefits is unfavourable to women since they have a greater life expectancy and contribute less, due to job interruption and lower salaries Race, ethnic origin, colour Race / colour: Refuse of health care treatment Nationality or national extraction, national minority, language Minority / nationality: Discrimination of illegal migrants (in Discriminated Europe), cultural and language barriers, geographic exclusion of some minorities, ROMs people often Disability, health, genetic features Social origin, fortune, birth, property Sexual orientation Religion, political … ! cumulate more then Handicap, health status: Discrimination of people living with one criteria HIV/Aids in France Informal economy workers

Criteria Examples of discrimination in the field of social protection? Age IMPACT ON THE RISK PROFILE Sex Race, ethnic origin, colour Nationality or national extraction, national minority, language Disability, health, genetic features Social origin, fortune, birth, property Sexual orientation Religion, political … CORRELATE WITH: Living conditions Place of living Area of work Education Attitude twds risks

Session 4. Criteria and risk profile • Risk of illness & death is globally higher: – – for old men than for old women for blue-collar than for white-collar workers for elderly persons than for young and for Afro-Americans than for WASPs • Knowledge about risk profiles is necessary to calculate the cost of risk • However it should not be used to exclude “bad” risks OR apply higher fees to them • In social protection “bad” and “good” risks musts exist alongside each other