DEVELOPMENT
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indicators with those for women’s participation in the<br />
labour market. The fewer women that there are in the<br />
labour market, the more probable it is that working<br />
women’s careers will follow a manly trajectory, and that<br />
jobs and working conditions intended especially for<br />
women will not be created. Instead, it will be assumed<br />
that working women are orientated to their jobs and<br />
careers, and therefore, will receive a “man’s wages”. This<br />
rule could explain the small pay gaps in states like Italy,<br />
Malta and Belgium, where a traditional gender regime<br />
applies. On the other hand, in the countries where the<br />
majority of women are in the labour market, jobs that<br />
are intended for women have developed, along with<br />
working conditions that are appropriate for combining<br />
work and family life. Often, these areas of employment<br />
have low wage levels, and therefore, women’s wages are<br />
generally lower than men’s. This could explain why<br />
the gender pay gap in Sweden, Norway, Denmark and<br />
France is quite considerable.<br />
If we turn our attention to the pay differences that<br />
occur within the framework of the same occupation,<br />
several factors must be considered. Wages are affected,<br />
to a great degree, by the worker’s general competitiveness;<br />
personal suitability for the job, including (appropriate)<br />
preparation; sufficient efforts and dedication to<br />
work. However, the working conditions offered by the<br />
employer, for the specific work and position, are also<br />
important.<br />
In Estonia, the gender pay gap has been thoroughly<br />
researched, and although some part of the pay gap can<br />
be attributed to structural or individual factors, a large<br />
part of the pay gap cannot be explained objectively (Anspal<br />
et al., 2010). This provides a basis for asserting that<br />
women’s unequal pay is the result of the prevalence of<br />
old-fashioned gender roles, and the behavioural choices<br />
based thereon.<br />
How has the recent economic crisis affected the<br />
gender pay gap? In Figure 3.2.7 we see that, although the<br />
pay gap has not increased in Estonia between 2006 and<br />
2010, the decrease is also marginal. We see a similar stability<br />
in many other states, which once again confirms<br />
that the differences in women’s and men’s wages are,<br />
to a great extent, related to non-economic factors. For<br />
example, it is evident that the states where the gender<br />
pay gap has sharply decreased, during the last decade,<br />
are Catholic and Greek Orthodox countries (Poland,<br />
Slovenia, Ireland and Cyprus). Only in Portugal is the<br />
development moving in the opposite direction. In the<br />
European states generally, the developments in gender<br />
inequality have moved in different directions, and therefore,<br />
it is hard to indicate a general trend.<br />
3.2.5<br />
In conclusion<br />
Based on the Gini coefficient, income inequality in Estonia<br />
lags behind the best performers in Europe and is thus<br />
close to the European average, and a slight decrease in<br />
inequality is noticeable on favourable reading. A totally<br />
different situation exists in regard to the assessments of<br />
the population related to inequality, with the people in<br />
Estonia being among the most critical. Two thirds of the<br />
Figure 3.2.7<br />
Changes in the gender pay gap in the European countries,<br />
2006-2010.<br />
Changes during the economic crisis, 2008-2010<br />
Trend in the changes before the economic crisis, 2006-2008<br />
Total change, 2006-2010<br />
Percentage<br />
Slovenia<br />
Poland<br />
Netherlands<br />
Slovakia<br />
Cyprus<br />
Great Britain<br />
Ireland<br />
Luxembourg<br />
Lithuania<br />
Spain<br />
Denmark<br />
Estonia<br />
Sweden<br />
Austria<br />
Finland<br />
Germany<br />
Norway<br />
France<br />
Latvia<br />
Switzerland<br />
Bulgaria<br />
Greece<br />
Belgium<br />
Czech Republic<br />
Romania<br />
Italy<br />
Hungary<br />
Malta<br />
Portugal<br />
Percentage<br />
-100 -80 -60 -40 -20 0 20 40 60 80<br />
-100 -80 -60 -40 -20 0 20 40 60 80<br />
Source: Eurostat, author’s calculations<br />
120<br />
Estonian Human Development Report 2012/2013