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CPS877 Paula J.G. et al.
            several  data  tables  based  on  the  STATIS  and  PCA  (Principal  Components
            Analysis) methods with a focus on the various individual countries.
                The tables related to quantitative data collected for the same countries
            (34) and variables (15) in different years (7), and permitted to perform the
            simultaneous analysis and exploration of  the entire set of data  tables. The
            study  individuals  were  the  countries  (Australia,  Austria,  Belgium,  Canada,
            Switzerland,  Czech  Republic,  Germany,  Denmark,  Spain,  Estonia,  Finland,
            France, United Kingdom, Greece, Hungary, Ireland, Iceland, Israel, Italy, Japan,
            Korea,  Luxembourg,  Latvia,  Mexico,  Netherlands,  Norway,  New  Zealand,
            Poland,  Portugal,  Slovak  Republic,  Slovenia,  Sweden,  Turkey,  and  United
            States) while the variables involved several of the indicators measured by the
            initiative in accordance with the datasets of the “How’s Life” report of 2017.
                The study variables are: Household net-adjusted disposable income (USD
            at PPP, per capita, 2015); Employment rate (age 15 to 64, as % population with
            same age);  Average annual gross earnings per full-time employee (USD at
            2016 PPP); Labor market insecurity (monetary loss from unemployment, share
            previous earnings); Long-term unemployment rate (% labor force unemployed
            more  than  one  year);  Rooms  per  person  (average  number);  Household
            expenditure  on  housing  (%  household  gross  adjusted  disposable  income);
            Dwellings without basic sanitary facilities (% people w/o dedicated flushing
            toilet); Employees working very long hours (% employees working more than
            50h/week); Life expectancy at birth (years); Perceived health status (% adults
            self-reporting  above  “good”);  Upper  secondary  education  attainment  per
            adults (% people 25-64); Social support (% people that can rely on friends or
            relatives); Satisfaction with water quality (% people in the population); and
            Feelings of safety when walking alone at night (% people).
                The analysis produced at a global level permitted to obtain a view on the
            general evolution and trends with regard to the conditions of life in the OECD
            countries  during  the  period  from  2009  to  2015  (i.e.,  after  the  2008  global
            financial crisis). For this purpose, each of the years in the analysis period was
            treated as an observation (center of gravity), and the study variables were the
            selected indicators (15) of the “How’s Life” program. The statistical effect of
            the outlier observations related to Mexico and Turkey (on four variables each),
            Korea (on three variable), and Spain and Greece (on two variables each) was
            attenuated due to the standardization of data given the different units of the
            study variables.
                In  this  context,  the  PCA  conducted  to  eigenvalues  (and  associated
            eigenvectors)  for  the  correlation  matrix  indicating  that  the  first  two  axes
            largely explained the results given their combined variability (85.6% of the
            total inertia). The representation on the first principal plan (Figure 1) indicated
            that  the  first  axis  related  to  the  evolution  over  time  of  the  dimensions
            associated with the quality and material conditions of life. In the period 2009

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