Per Erik Solem

Thus, the questions used are not measuring the prevalence of age discrimination. However, it
is possible to compare age discrimination with sex discrimination. The questions also give an
indication of the relative prevalence of different types of age discrimination and of possible
changes during the study period.
Results
Iversen et al. (2009) refer to twenty-seven different definitions of ageism, which is used in the
research literature. The definitions cover, to varying degrees, four dimensions:
- The three classic components of attitudes: the cognitive (stereotypes), affective (prejudice)
and behavioral (discrimination), - positive and negative ageism, - implicit and explicit ageism,
- ageism on micro level (individual), meso level (e.g. intergroup segregation) and on macro
level (e.g. legislation on mandatory retirement).
Ageism is defined as negative or positive stereotypes, prejudice and/or discrimination against
(or to the advantage of) elderly people on the basis of their chronological age or on the basis
of a perception of them as being 'old' or 'elderly'. Ageism can be implicit or explicit and can
be expressed on a micro-, meso- or macro-level.
The results from the Norwegian Senior Policy Barometer show only small changes from 2003
to 2009. Changes are statistically significant for managers, but not for the age group of
workers susceptible for discrimination, the seniors 55 years and above. In 2009 managers
report less age discrimination than in 2003, while the seniors have observed no change.
Managers have over the whole period lower estimates than senior workers, of how often they
have observed that age discrimination takes place. For example, in 2009 23 per cent of the
managers say they at least now and then have experienced that older workers are passed over
for appointments and internal recruitments, compared to 35 per cent of seniors saying the
same. For one question, that younger workers are preferred when new technology or new
working methods are introduced, managers have more negative estimates than seniors. In
2009, 58 per cent and 52 per cent of mangers and seniors respectively report this to happen at
least now and then. The difference is small, but probably seniors themselves often have low
confidence in their ability to use new technologies.
Conclusions
When studying ageism and age discrimination it is of great value to be clear on what
dimensions of ageism are included in the study. The empirical part of this paper study the
behavioral part of attitudes; age discrimination, and show small changes over the study
period. Managers estimate discrimination of older workers to happen less often than do
seniors.
(Further analyses will expand on conclusions)