Assessing Subjective Well-being in Wide
Populations. A Posetic Approach
to Micro-data Analysis
Leonardo Salvatore Alaimo and Paola Conigliaro
1 Measuring Subjective Well-being: A Multidimensional
Issue 1
The growing attention to the issues of quality of life and well-being in social
studies and in political analysis led to the use of an increasingly wide range of
subjective indicators. The so-called “Stiglitz Report” (Stiglitz et al. 2009) asserts
the need to analyze the subjective condition using indicators able to detect both
aspects of conscious evaluation and emotional states. Further studies added a third
dimension, the eudaimonic one. This three-dimensional classification was explained
in particular in the OECD guidelines on subjective well-being (OECD 2013), which
collect and systematize the most accredited theoretical production in this field.
The definition of measures to assess subjective well-being (hereinafter: SWB)
involves many disciplines, different approaches and a very articulated range of
models, indicators and inquiring tools. This topic naturally belongs to the field
1 Although this paper should be considered the result of the common work of the two authors, L.
S. Alaimo has mainly written Sections “Exploratory Data Analysis”, “Application of the partial
ordering methodology” and “Conclusions”; P. Conigliaro has mainly written Sections “Measuring
subjective well-being: a multidimensional issue”, “The issue of subjective indicators synthesis”
and “Data”.
L. S. Alaimo
Department of Social Sciences and Economics, Sapienza University of Rome, Rome, Italy
Italian National Institute of Statistics, Istat, Rome, Italy
e-mail: leonardo.alaimo@istat.it
P. Conigliaro ()
Italian National Institute of Statistics, Istat, Rome, Italy
e-mail: paola.conigliaro@istat.it
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
R. Bruggemann et al. (eds.), Measuring and Understanding Complex Phenomena,
https://doi.org/10.1007/978-3-030-59683-5_16
243
Populations. A Posetic Approach
to Micro-data Analysis
Leonardo Salvatore Alaimo and Paola Conigliaro
1 Measuring Subjective Well-being: A Multidimensional
Issue 1
The growing attention to the issues of quality of life and well-being in social
studies and in political analysis led to the use of an increasingly wide range of
subjective indicators. The so-called “Stiglitz Report” (Stiglitz et al. 2009) asserts
the need to analyze the subjective condition using indicators able to detect both
aspects of conscious evaluation and emotional states. Further studies added a third
dimension, the eudaimonic one. This three-dimensional classification was explained
in particular in the OECD guidelines on subjective well-being (OECD 2013), which
collect and systematize the most accredited theoretical production in this field.
The definition of measures to assess subjective well-being (hereinafter: SWB)
involves many disciplines, different approaches and a very articulated range of
models, indicators and inquiring tools. This topic naturally belongs to the field
1 Although this paper should be considered the result of the common work of the two authors, L.
S. Alaimo has mainly written Sections “Exploratory Data Analysis”, “Application of the partial
ordering methodology” and “Conclusions”; P. Conigliaro has mainly written Sections “Measuring
subjective well-being: a multidimensional issue”, “The issue of subjective indicators synthesis”
and “Data”.
L. S. Alaimo
Department of Social Sciences and Economics, Sapienza University of Rome, Rome, Italy
Italian National Institute of Statistics, Istat, Rome, Italy
e-mail: leonardo.alaimo@istat.it
P. Conigliaro ()
Italian National Institute of Statistics, Istat, Rome, Italy
e-mail: paola.conigliaro@istat.it
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
R. Bruggemann et al. (eds.), Measuring and Understanding Complex Phenomena,
https://doi.org/10.1007/978-3-030-59683-5_16
243