Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices

Most of the socio-economic phenomena such as development, well-being, and quality of life have a multidimensional nature and require the definition of a set of individual indicators to be properly assessed. Often, individual indicators are summarized and a composite index is created. One of the main problems in constructing composite indices is the choice of a method which allows time comparisons. In this paper, we consider the Adjusted Mazziotta–Pareto Index, a non-compensatory composite index used by the Italian National Institute of Statistics for measuring “Equitable and Sustainable Well-being” in Italy. An empirical comparison with some traditional non-compensatory indices is presented and an Influence Analysis is, for the first time, performed in order to assess the robustness of the index.     

Time in the Development of Indicators on Sustainable Wellbeing: A Local Experiment in Developing Alternative Indicators

This paper is a theoretical and methodological study on the topics of distribution of and competition between time spans dedicated to social activities in the development of sustainable well-being indicators. This article seeks to answer the following question: why and how should we take into account social time in the development of alternative indicators? To bring to light the complex relationship between well-being, sustainability and people’s relationship to time, this article draws on an experiment aimed at developing Regional Sustainable Well-being Indicators (Indicateurs de Bien-être Soutenable Territorialisés—IBEST), which took place in the Grenoble urban area. This experiment was based on two methodologies; the first one being a quantitative survey, and the second one being a series of qualitative interviews coupled with a participatory approach. One of the datasheet indicators developed following this methodological crossover is the activity times balancing indicator, which allows us to take into consideration the pressure affecting time spent on social activities (work, leisure, families and civic engagement).     

Media Use and Satisfaction with Democracy: Testing the Role of Political Interest

An interesting measure for equitable and sustainable well-being has been proposed recently by the National Institute of Statistics in Italy and the National Council for Economy and Labour. It is called BES (from the Italian Benessere Equo e Sostenibile). A set of indicators, partitioned into several domains and themes, is used for measuring the BES. Taking into account prior knowledge of both the structure of this set of indicators and the relationships among them, the paper proposes a hierarchical composite model for measuring and modeling the BES of the Italian provinces. This hierarchical model allows us to synthesize individual indicators into single indexes in order to construct composite indicators at a global and a partial level. Moreover, we analyze the relationships among the different domains and themes as well as the effects of these on equitable and sustainable well-being, in order to search for strongly influential factors. In order to estimate the parameters of the model, we use both Partial Least Squares path modeling and a new method, called Quantile Composite-based path modeling. In particular, Partial Least Squares path modeling is used to estimate average effects in the network of relationships between variables, while with Quantile Composite-based path modeling we investigate whether the magnitude of these effects changes across different parts of the variable distributions, providing a more complete picture and uncovering specific local leveraging factors for improvement. A final ranking of the Italian provinces, according to the BES composite indicator, is also provided at the national level and for different geographic areas of Italy.     

A Measure of Well-Being Across the Italian Urban Areas: An Integrated DEA-Entropy Approach

In recent years, there has been an increasing proliferation of initiatives focusing on the concept of quality of life and well-being. At the centre of these studies there is the recognizing that the GDP offers only a partial perspective of factors affecting people’s lives. Following this line of the research, this paper is aimed at computing the well-being efficiencies of a sample of Italian Province capital cities, using a methodological approach that combines data envelopment analysis (DEA) with Shannon’s entropy formula. To avoid subjectivity in choosing a representative set of variables that proxy the phenomenon under study, we rely on the theoretical framework adopted by the Italian National Institute of Statistics (ISTAT) within the equitable and sustainable well-being (BES) project. The dashboard of indicators included in the analysis are related to the Ur-BES initiative, promoted by ISTAT to implement the BES framework at cities level. In a first step of the analysis, an immediate focus on separate dimensions of urban well-being is obtained by summarizing the plurality of available indicators through the building of composite indices. Next, the adopted integrated DEA–Shannon entropy approach has permitted to increase the discriminatory power of DEA procedure and attain a more reliable profiling of Italian Province capital cities well-being efficiencies. The results show a marked duality between the Northern and Southern cities, highlighting important differences in many aspects of human and ecosystem well-being.     

Capability Approach and Multidimensional Well-Being: The Italian Case of BES

This paper lies within the debate on GDP and beyond and provides an empirical assessment of the Italian equitable and sustainable well-being (BES) as a composite measure of multidimensional well-being. From a policy perspective, the goal is to deliver a reading of the Italian BES able to shed light on its usability. The aim is to offer a suitable method for making the information included in the BES more viable for policy design. To this end, the paper is grounded in an interpretation of the Italian BES through the lens of the capability approach and investigates the relations among BES indicators and life domains. The empirical assessment uses Italian data from the national survey “Aspects of daily life” and applies the Structural Equation Model to estimate several life capabilities and their causal path. Outcomes show the interrelated nature of multi-dimensional well-being and prove the role of exogenous causes in the determination of capabilities. Moreover, the paper provides a final ranking analysis where Italian regions are compared based on their position per capability and income performance. Results confirm, on one hand, the disparity of income and well-being measurements and the importance of multidimensional assessment for human development and, on the other, the importance of focusing on the single components of multidimensional well-being and their interconnections.     

Measuring Well-being Across Europe: Description of the ESS Well-being Module and Preliminary Findings

It has become customary to judge the success of a society through the use of objective indicators, predominantly economic and social ones. Yet in most developed nations, increases in income, education and health have arguably not produced comparable increases in happiness or life satisfaction. While much has been learned from the introduction of subjective measures of global happiness or life satisfaction into surveys, significant recent progress in the development of high-quality subjective measures of personal and social well-being has not been fully exploited. This article describes the development of a set of well-being indicators which were included in Round 3 of the European Social Survey. This Well-being Module seeks to evaluate the success of European countries in promoting the personal and social well-being of their citizens. In addition to providing a better understanding of domain-specific measures, such as those relating to family, work and income, the design of the Well-being Module recognises that advancement in the field requires us to look beyond measures which focus on how people feel (happiness, pleasure, satisfaction) to measures which are more concerned with how well they function. This also shifts the emphasis from relatively transient states of well-being to measures of more sustainable well-being. The ESS Well-being Module represents one of the first systematic attempts to create a set of policy-relevant national well-being accounts.

Exploring Multidimensional Well-Being in Switzerland: Comparing Three Synthesizing Approaches

Well-being is increasingly conceptualized and measured from a multidimensional perspective in order to provide policy makers and the general public with the necessary tools for monitoring social change. Synthetic measures of multidimensional concepts such as well-being are, therefore, needed. This paper provides a systematic comparison of three methodological approaches applicable in a top-down perspective to construct a synthetic multidimensional measure of well-being using the same theoretical framework and the same data. The three methodologies used are the confirmatory factor analysis, the Alkire and Foster counting approach and the posetic approach. The first two methodologies belong to the family of composite indicators, the most common way to synthetize multidimensional information. The third was developed in order to deal with the construction of composite indicators’ two major issues, namely weighting and aggregating. The main contribution of this paper is methodological; it aims at discussing the advantages and drawbacks of the three methodologies, and at identifying their similarities and specificities.     

The Well-Being of 12 - to 16-Year-Old Adolescents and their Parents: Results from 1999 to 2003 Spanish Samples

This study adopts satisfaction with life as a whole and satisfaction with specific life domains as indicators to analyse the relationships between the well-being of 12 to 16-year-old adolescents and some related constructs such as self-esteem, perceived control and perceived social support. Well-being indicators from a 2003 Spanish sample using an 11-point scale (N = 1,634) are compared with an equivalent 1999 Spanish sample using a 5-point scale (N = 1,618). The different results obtained from the 2003 sample with a Principal Component Analysis (PCA) using a shorter and a longer list of life domains are also discussed. A sub-sample of the adolescents’ results from the 2003 sample are compared with their parents’ answers, using the same well-being indicators. Using a list of 8 life domains, and despite the change of scale used, overall results show no relevant changes in adolescents’ satisfaction with life domains between 1999 and 2003 in Spain and are in agreement with normative data expected from western societies [Cummins: 1998, Social Indicators Research 43, pp. 307–334; Cummins et al.: 2001, Australian Unity Well-being Index (Australian Centre on Quality of Life, Deakin University, Melbourne)]. Adolescents’ overall life satisfaction has been shown to correlate consistently with the other well-being related constructs. However, it clearly decreases with age over the period studied. The results also show that increasing the list of life domains has a major impact on the structure of the results obtained. When we compare results from parents with those from their own child, outstanding differences in well-being appear between generations: few domain satisfaction dimensions show significant correlation between parents and children and more than 20% of the population studied shows high discrepancies in the answers in four domains.     

A Review Essay on the Measurement of Child Well-Being

Research on indicators related to the state of child well-being is a growing field that has experienced several changes over time. The growing supply of data on children, as well as the need to facilitate conclusions and to track trends, has led researchers to develop a number of child well-being indexes. This paper critically reviews the most recent and relevant child well-being indexes, i.e., the Index of Child and Youth Well-Being in the United States, the Child Well-being Index for the European Union, the Microdata Child Well-being Index, and the Deprivation Index. The study focuses primarily on the contributions and innovations the indexes have brought to the field, making a critical assessment of the methods used in the construction of the indexes and identifying their main limitations.     

A study of the impact of environmental surroundings on personal well-being in urban China using a multi-item well-being indicator

We examine the relationship between atmospheric and water pollution, traffic congestion, access to parkland and personal well-being using a survey administered across six Chinese cities in 2007. In contrast to existing studies of well-being determinants by economists which typically employ single-item indicators, we use the Personal Well-being Index (PWI). We also employ the Job Satisfaction Survey (JSS) to measure job satisfaction, which is one of the variables for which we control when examining the relationship between environmental surroundings and personal well-being. Previous research by psychologists has shown the PWI and JSS to have good psychometric properties in western and Chinese samples. A robust finding is that in cities with higher levels of atmospheric pollution and traffic congestion, respondents report lower levels of personal well-being ceteris paribus. Specifically, we find that a one standard deviation increase in suspended particles or sulphur dioxide emissions is roughly equivalent to a 12–13% reduction in average monthly income in the six cities.     

Child Well-Being in Advanced Economies in the Late 2000s

This paper aimed at comparing the well-being of children across the most economically advanced countries of the world while discussing the methodological issues involved in comparing children’s well-being across countries. A Child Well-being Index was constructed to rank countries according to their performance in advancing child well-being. The Index used 30 indicators combined into 13 components, again summarised in 5 dimensions for 29 rich countries. Data from various sources were combined to capture aspects of child well-being: material well-being, health, education, behaviour and risks, housing and environment. The scores for the countries on all variables and combinations of variables were discussed in detail. The Child Well-being Index revealed that the Netherlands and the Scandinavian countries (excluding Denmark) did relatively better than the other countries while Romania and the United States performed well below the average. Overall, serious differences existed in child well-being across countries suggesting that in many, improvement could be made in the quality of children’s lives.     

Measuring Well-Being and Progress

Well-being is becoming a concept which is more and more involved in any world development consideration. A large amount of work is being carried out to study measurements of well-being, including a more holistic vision on the development and welfare of a country. This paper proposes an idea of well-being and progress being in equilibrium with each other. This is distant from the two extreme positions: poor but happy, and rich then happy; too romantic the first, and reductive the second. After a short explanation on the meaning of Objective and Subjective well-being, we show some interesting relations between economic and social variables, and we propose a new index to measure the well-being and progress of the countries: the Well-being & Progress Index (WIP). It includes several aspects of well-being and progress, like human rights, economic well-being, equality, education, research, quality of urban environment, ecological behaviours, subjective well-being, longevity, and violent crime. The most frequently used indexes usually only focus on some aspects, like ecology, or economy, or policy, or education, or happiness, and so forth. On the contrary, this new WIP index allows a global and well-balanced vision, thanks to the large range of indicators used, and how representative they are.     

Measuring the Well-Beings of the Developing Countries: Achievement and Improvement Indices

The paradigm of development in the recent days has been shifted from Per Capita Gross National Product (PCGNP) to Human Well-being. It has also been admitted broadly that PCGNP does not automatically transformed into human well-being. It has thus become common practice to use a range of socio-economic variables for measuring the human Well-being (quality of life) in a country. In order to measure the well-being of about 70 developing countries, this study widens the scope of the Physical Quality of Life Index (PQLI) introduced by Morris, by incorporating a number of social aspects of life. On the basis of these indicators, the achievements in the quality of life of these countries are analyzed in this study. An attempt is also made to compare the decadal improvements in their performances in respect of the quality of life over a period of 1960 to 1990. The study also attempts to analyze the relations between achievements and improvements of quality of life and achievements and improvements in terms of PCRGDP of the countries.     

Measuring World Better Life Frontier: A Composite Indicator for OECD Better Life Index

The OECD Better Life initiative recently released a comprehensive set of 11 indicators of well-being covering a group of countries. Each individual indicator corresponds to a key topic that is essential to well-being. However, the problem of aggregating them is left to users of this dataset. Using these as individual indicators, we propose a composite indicator of overall well-being, which is intended to measure the performance of each country in terms of providing well-being to its people. The ‘benefit of the doubt’ approach (BOD), a well-known aggregation tool based on a weighed sum, assigns the most favourable weights for each entity under investigation. BOD may also be considered to evaluate the performance of each entity in terms of its efficiency. Regarding individual indicators as outputs, it constructs the benchmark production frontier from observed individual indicators. A composite indicator based on BOD equals the distance between each entity’s individual indicator and the production frontier, indicating its efficiency. It is widely considered that the well-being of a country’s people stems from its productive base, which is characterized by capital assets and social infrastructures. Thus, the productive base can be considered the input used to produce well-being, which is reflected by individual indicators. Therefore, when we apply BOD to aggregate individual well-being indicators across countries, we implicitly assume that all countries have the same productive base, as BOD addresses only the output and neglects the input. This inaccurate assumption leads to a distorted performance measure. Data envelopment analysis (DEA), in which BOD has its roots, is a tool to measure the efficiency of each entity by allowing for differences in inputs as well as outputs across entities. DEA also measures efficiency by using the distance to the production frontier; however, unlike BOD, DEA constructs the production frontier more accurately by utilizing the information of inputs as well as outputs, leading to a better performance measure. We apply DEA to aggregate 11 individual well-being indicators into a composite indicator using the World Bank’s estimates of each country’s productive base. The composite indicator based on BOD is distributed similarly to and is highly correlated with the existing Human Development Indicator (HDI). It is also positively correlated with GDP per capita. On the other hand, we show that the composite indicator based on DEA is negatively correlated with HDI as well as GDP per capita.     

Activity Participation and Well-Being Among European Adults Aged 65 years and Older

Increasing evidence suggests that different patterns of activity participation confer several positive well-being outcomes through the later years of life. The aim of the present study is to examine the likelihood of higher well-being linked with a socially engaged lifestyle with a view to extending prior research. Data on a nationally representative sample of adults aged 65 and older from eleven European countries (n = 7025) was drawn from the first Wave of the Survey of Health, Aging and Retirement in Europe (SHARE, 2004/5). Socially and productively oriented activities were administered as salient aspects of activity participation and were rated on frequency of involvement. Well-being was defined by the clustering of six indicators including life satisfaction, quality of life, self-rated health, psychological distress, chronic diseases and Body Mass Index (BMI). The effect of activity participation on the clustering of well-being indicators was estimated according to complex samples ordinal regression models. The overall pattern was that of a significantly increased likelihood for frequently active participants to present multiple presence of positive well-being outcomes (p < 0.05). This held true not only at the individual level but also across most SHARE countries. Although the findings of the current analysis cannot identify the direction of causality of the observed effects, they still lend some support to the reasonable conjecture that old-age activity engagement matters for individuals’ wellbeing and testify to the suggestion that public health and social care interventions should consider the respective potential well-being gains and therefore foster the facilitation of activities and attachments.     

Measurement Assessment in Cross-Country Comparative Analysis: Rasch Modelling on a Measure of Institutional Quality

This paper uses recent multidimensional well-being measurements to examine multidimensional well-being and inequality across the European regions in 2000 and 2014 with the use of eleven well-being indicators from the OECD Better Life Index. We use generalized mean aggregation method with alternative parameters to allow different substitutability and complementarity levels between well-being dimensions, which range between perfect substitutability and some degree of complementarity between the dimensions, to examine well-being and inequality across the European regions. Accounting for the interactions between the well-being dimensions matters for the multidimensional well-being and inequality across the European regions. The results show that the multidimensional well-being across the European regions are relatively lower when the dimensions are more seen as complements compared to the case when they are considered to be perfect substitutes. Furthermore, there is also a higher degree of multidimensional inequality across the European regions when the dimensions are considered to have some complementarity. Changes in well-being dimensions between 2000 and 2014 indicates that multidimensional well-being improved and inequality decreased in the personal and community well-being categories, but remained unchanged in material well-being category across the European regions irrespective of interaction levels between well-being dimensions. Policy implications of these multidimensional well-being indices are also evaluated by using these indices to determine the eligible regions for the European Union structural funds where the number eligible regions shows some variation depending on whether the dimensions are perfect substitutes or more of complements.

     

Child Well-being: A Systematic Review of the Literature

A systematic review the child well-beingliterature in English was conducted withsearches in five databases to assess thecurrent state of child well-being research andanswer the following questions: (1) How is childwell-being defined? (2) What are the domains ofchild well-being? (3) What are the indicators ofchild well-being? and (4) How is childwell-being measured? This review updates andexpands a previous review of the childwell-being literature spanning 1974–1992. Results indicate that well-being is a commonlyused but inconsistently defined term frequentlyincluded in the study of child development. There are five distinct domains of childwell-being: physical, psychological, cognitive,social, and economic. Positive indicators areused more often in the physical, cognitive,social, and economic domains, while morenegative or deficit indicators are used in thepsychological domain. There is littleagreement in the research literature on how tobest measure child well-being.

     

Development of Indicators for Family Well-Being in Malaysia

This study was carried out to develop a set of indicators for measuring and reporting the state of family well-being in Malaysia, and subsequently, to produce an Index of Family Well-Being. To build the set of indicators, domains of family well-being and relevant indicators were identified from past studies. Focus group discussions with families, professional groups and NGOs helped to refine the indicators prior to the main study. Using a stratified random sampling design, 2,808 households were identified (a parent and a child aged at least 13 years), making a total sample of 5,616 respondents. Results indicated ten key indicators that can predict family well-being—resiliency, safety, savings, healthy lifestyle, time with family, work-family balance, importance of religion, number of bedrooms at home, debt and child care—supporting the notion of family well-being being multi-dimensional and interconnected. On the basis of the results, a model of family well-being was hypothesized. This model was used to guide the development of the Index of Family Well-being. Confirmatory factor analysis (CFA) was carried out to determine the fit of the model to data. Five domains of family well-being were identified—family relationships, economic situation, health and safety, community relationship and religion/spirituality. The Index of Family Well-Being was calculated using the equal weighting strategy to each of these five domains. This index showed that the current family well-being of Malaysians is relatively high at 7.95 (SD = 1.38) on a 0–10 Likert response format. The findings suggest that family well-being is multifaceted, made up not only of the immediate family relationships and health and safety of its members, but include having adequate income to meet the demands of a minimum standard of living. Currently, the Index that is developed is only in the form of a numerical value reflecting the state of family well-being, but in future, it can be used to track changes in the family from time to time.     

The Italian Regional Well-Being in a Multi-expert Non-additive Perspective

This paper designs a multidimensional index of well-being for 20 Italian regions, based on a set of 41 indicators organized in an original hierarchical structure, a decision-tree whose four main pillars are Economy, Society, Environment and Health. Our novel approach combines the objective dimension of the evaluation (a comprehensive set of statistical indicators) within a flexible non-additive aggregation model (the Choquet integral) characterized with the preferences of informed Italian stakeholders. Adopting the Choquet integral allows us to overcome the well-known limitations embedded in the linear models, by assigning a weight (capacity) to any coalitions of dimensions, and by allowing a different degree of substitutability within each decision node in the tree. The weights and the parameters for the aggregation are elicited through a computer-based nominal group technique, a method which reduces the occurrences of drastically dissenting valuations and the potential expert-selection bias. Our results show that experts’ perception of synergies and redundancies is quite heterogeneous between levels and nodes in the tree. Moreover, well-being measures are much influenced by the degree of substitutability embedded in the experts’ preferences. Overall, the Italian picture looks more heterogeneous when analysed through the Choquet integral, with respect to a linear model.     

Economic Theory and Subjective Well-being: Mexico

Several studies have been conducted on the topic of well-being. Most of them, however, have been done in industrialized countries where income is distributed relatively more equitatively and the population tends to be more homogeneous. This paper studies the relationship between subjective and economic well-being in Mexico, a country where the economic differences among the population are more clearly marked.

According to the economic definition of well-being, higher levels of income are associated with higher levels of well-being through greater levels of material consumption. Taking into consideration this definition, it is worth asking just how important income is for an individual's happiness?Existing studies in psychology have found a positive correlation between economic well-being (socioeconomic status) and subjective well-being (happiness). However, this positive relationship is weak and a large percentage of human happiness remains unexplained.

Although the mentioned studies make a good approximation of the existing relationship between income and happiness, the characteristics or specification of the function that generates the relationship between these two variables is often assumed to be linear and positive. The main objective of this paper is to investigate further the relationship between subjective and economic well-being. In this study different specifications and approaches are used to approximate the relationship between these variables.

An empirical analysis is made from the results of a survey conducted in two Mexican cities. The investigation studies the impact of demographic, social, and economic variables on subjective well-being in Mexico. Several hypotheses are tested to identify the relationship between household income and individual well-being. It is found that income does not have a strong influence on neither well-being nor on the probability of happiness. However, people tend to overstress the impact that additional income would have on their subjective well-being. This fact could explain the importance that people place on increasing their income level, and it could possibly explain the relative sense of dissatisfaction once a higher income level is achieved.

The relationship between income and the sense of basic need satisfaction is also explored. A main assumption in economic theory suggests the existence of a direct relationship between these variables; however, empirical results show this relationship to be extremely weak. Results indicate that subjective well-being is positively related to the sense of basic need satisfaction but not to income.