Page 12 - IDEA Study 3 2015 Duchodova studie

and Eastern countries (E: Hungary, Poland and Slovenia). This division of countries is common in other studies based on SHARE data and reflects the similarities of their institutions and policies with respect to pension and health policies. In the core text of this paper we focus on major issues; the Appendix presents more detailed results and statistics for all countries. For the Czech Republic, the graphs also compare the indicators based on data from the first wave of SHARE data collection in 2007 and from the last available data collected in 2013. All the graphs show the indicators separately for men and women, with age on the horizontal axis. This division is necessary due to substantial differences between genders. For statistical accuracy, only respondents aged 50-74 were considered. The indicator values were averaged for five-year age categories; however, in order to better capture their retirement decisions, we divided the age category in which the actual retirement age most commonly falls (for men between 60-64 years of age, and for women 55-59) into two parts. Finally, at the bottom of each graph we present a formula clarifying the calculation of the relevant statistics. GRAPH 0.1 Percentage of working Czech women aged 50-54 inyear2010 is69% 100% 80% 60% 40% 20% 0% Percentage of working Czech women aged 50-54 in year 2007 is 61% Data point for Nordic region (wave 2013) Percentage of Working Women N W N W N S W S N S W S N W S N W S W age, gender ___________________________________ P age, gender Czechdatafrom5th wave(2013) Czechdatafrom2nd wave(2007) Explanation of what is in the graph: percentage of working respondents in age-gender group relative to the total population in the same age-gender group Source: Data SHARE Age group - women (years) 10