Assessing Subjective Well-being in Wide Populations. A Posetic Approach. . .
259
Fig. 7 Cumulative frequencies distribution of severity function according to labour status and
gender
the unemployed and for just 5% of full-time employees. With respect to gender
differences, the considerations made above can be confirmed.
6 Conclusions
The relationship between labour status and SWB is widely established in the
literature. However, this notion is always evaluated at the general level comparing
aggregated data or else at individual psychological level.
The present analyses confirm this relationship at individual level, in wide population of respondents. Applying the analyses to micro-data supplied by an official
statistical survey represents a further step that allows us to compare a consistent
number of really subjective conditions. It is in line with the recommendations of the
Commission on the Measurement of Economic Performance and Social Progress
and following international guidelines on measuring well-being in wide populations.
The adopted methodology of synthesis (poset) perfectly fits the framework of
SWB providing a satisfying tool to analyse micro-data and synthesize indicators
expressed in ordinal way. Moreover, the non-compensatory nature of posets make
them the perfect approach to analyze SWB data. This research experiments also a
multi-stage application of this methodology, identifying critical issues and proposing solutions.
259
Fig. 7 Cumulative frequencies distribution of severity function according to labour status and
gender
the unemployed and for just 5% of full-time employees. With respect to gender
differences, the considerations made above can be confirmed.
6 Conclusions
The relationship between labour status and SWB is widely established in the
literature. However, this notion is always evaluated at the general level comparing
aggregated data or else at individual psychological level.
The present analyses confirm this relationship at individual level, in wide population of respondents. Applying the analyses to micro-data supplied by an official
statistical survey represents a further step that allows us to compare a consistent
number of really subjective conditions. It is in line with the recommendations of the
Commission on the Measurement of Economic Performance and Social Progress
and following international guidelines on measuring well-being in wide populations.
The adopted methodology of synthesis (poset) perfectly fits the framework of
SWB providing a satisfying tool to analyse micro-data and synthesize indicators
expressed in ordinal way. Moreover, the non-compensatory nature of posets make
them the perfect approach to analyze SWB data. This research experiments also a
multi-stage application of this methodology, identifying critical issues and proposing solutions.