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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

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