How are the Kids Doing? How do We Know?

With a focus on the United States, this paper addresses the basic social indicators question: How are we doing? More specifically, with respect to children, how are our kids (including adolescents and youths) doing? These questions can be addressed by comparisons: (1) to past historical values, (2) to other contemporaneous units (e.g., comparisons among subpopulations, states, regions, countries), or (3) to goals or other externally established standards. The Child and Youth Well-Being Index (CWI), which we have developed over the past decade, uses all three of these points of comparison. The CWI is a composite index based on 28 social indicator time series of various aspects of the well-being of children and youth in American society that date back to 1975, which is used as a base year for measuring changes (improvements or deterioration) in subsequent years. The CWI is evidence-based not only in the sense that it uses time series of empirical data for its construction, but also because the 28 indicators are grouped into seven domains of well-being or areas of social life that have been found to define the conceptual space of the quality of life in numerous studies of subjective well-being. Findings from research using the CWI reported in the paper include: (1) trends in child and youth well-being in the United States over time, (2) international comparisons, and (3) best-practice analyses.     

Indicators and Indices of Child Well-being: A Brief American History

This paper traces the history of indicators and indices of child well-being from its origins in the social indicator movement of the 1970s through recent developments in the field. Initial work calling for comprehensive sets of indicators of child well-being and later recommendations for indicator improvement are detailed. Products that resulted from these recommendations, such as comprehensive indicator reports and online resources are described. The development of child well-being indices is shown to parallel the history of indicators. The contributions of state and international indicator and index projects are included as well. Important aspects of child well-being indicator development are uncovered through documenting its history, including the need to focus on subjective as well as objective measures of well-being, and the need to develop indicators for the multiple ecological contexts of children’s lives, but to separate measures of context from measures of child outcomes. A rough consensus emerges across the history of indicator efforts on the critical domains of child well-being: physical, psychological, cognitive, social, and economic well-being. Recent recognition of the importance of indicators of positive development is noted. This paper was funded by the KIDS COUNT project of the Annie E. Casey Foundation.     

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).     

Quantitative Storytelling in the Making of a Composite Indicator

The reasons for and against composite indicators are briefly reviewed, as well as the available theories for their construction. After noting the strong normative dimension of these measures—which ultimately aim to ‘tell a story’, e.g. to promote the social discovery of a particular phenomenon, we inquire whether a less partisan use of a composite indicator can be proposed by allowing more latitude in the framing of its construction. We thus explore whether a composite indicator can be built to tell ‘more than one story’ and test this in practical contexts. These include measures used in convergence analysis in the field of cohesion policies and a recent case involving the World Bank’s Doing Business Index. Our experiments are built to imagine different constituencies and stakeholders who agree on the use of evidence and of statistical information while differing on the interpretation of what is relevant and vital.

     

How to Integrate Macro and Micro Perspectives: An Example on Human Development and Multidimensional Poverty

When designing indicators of well being attention is focused on its multidimensionality and on aggregation across different dimensions. However, two other aspects need consideration: distribution of each indicator within its dimension (inequality) and joint distribution of individual achievements or—viceversa—of deprivations. Aim of this paper is to suggest a correction to the composite well-being index; correction that takes into account some aspects concerning the joint micro distribution of achievements across dimensions. As an example we correct the human development index by means of the multidimensional poverty index.     

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.     

The Development of the Good Relations Measurement Framework in Britain: A Template for Experiential Social Measurement

This article explores the development of the Good Relations Measurement Framework (GRMF), the first attempt in Britain to create a framework designed to measure how people experience their lives, specifically in relation to their interactions with each other. It provides a reference point for others seeking to construct social indicator measurement frameworks which capture the experiential in the social policy field. In a wider sense, it provides a case study of the use of social indicators within the policy process in the modern polity. The overall objective of the GRMF is to measure the state of Good Relations in Britain. Seven key areas emerged as being crucial for the development of measurement frameworks during the construction of the GRMF. Firstly, a decision has to be taken about the extent to which social measurement frameworks are confined to measurement only or are to have a normative element. Secondly, a working definition of the subject area is needed early in the process. Thirdly, an element of consultation with the public is important. A fourth issue relates to the practical method of construction through the use of ‘long lists’ of potential indicators, and finding a balance between an ‘ideal’ list of potential indicators emerging from public consultation and a second list of existing indicators drawn from existing surveys. A fifth issue relates to the availability of social indicator data at an appropriate geographical level. A sixth issue is that social indicators drawn from different surveys are not always comparable. A final factor is that while quantitative indicators are useful as a tool of social measurement, qualitative research adds a further dimension which is especially important in particular circumstances.     

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.

Away from Dissatisfaction,Closer to Well-Being: A Multidimensional Synthetic Measure

As part of the international debate on methods for measuring the social progress of a population, there has been increasing interest in individual subjective opinions about different aspects of quality of life (elementary indicators). In the literature, many methods have been introduced for producing measures of subjective well-being based on these opinions. Some of these methods aim to construct synthetic measures that allow us to consider all the aspects simultaneously. This topic often requires subjective methodological choices and/or distributional assumptions and, when the opinions are encoded by means of categorical ordinal values, the eventual quantification of the original variables. Here, starting from the Istat multipurpose survey on households’—aspects of daily life, we propose an original method for constructing a global satisfaction index. We introduce a variable based on the joint distribution of all the elementary indicators that is able to express the individual degree of global satisfaction. This approach allows us to maintain the original ordinal data scale and to avoid any aggregation formula. By comparing the observed distribution of the new variable and the theoretical one, which refers to the situation of overall dissatisfaction (all individuals are dissatisfied for every aspect), we propose three indices of global satisfaction. We also implemented two simulation studies that confirms both the efficacy and robustness of our method. We then applied it to measure the global satisfaction degree of the Italian population, using Istat multipurpose survey data for the year 2013.     

A social indicator based on time allocation

The authors have developed a social indicator, called Lambda, that has as its base the manner in which individuals allocate their time among various life activities. This indicator does not suffer from the usual demand characteristics and experimenter bias associated with most subjective social indicators, i.e., those based on question-naires. It is not a single rate indicator in the sense of suicide rate. Lambda is a weighted sum social indicator with both subjective and objective aspects. The weights are decided by the population under consideration and not by the investigators or some other outside agents. The elements to be summed are the frequency functions for the discrepancies that arise when individuals state the amount of time they would like to spend in an activitiy versus the amount of time they actually spend at the activity. There are frequency functions for each activity. The properties of this indicator are discussed in detail. A pilot study comparing Lambda to another social indicator and some demographic variables was conducted with 1012 undergraduate students. The results of the pilot study show a high correlation between Lambda and the other social indicator. The results are presented. Lambda is currently being used by the Gallup organization.     

The Impact of Adaptive Preferences on Subjective Indicators: An Analysis of Poverty Indicators

Subjective indicators are often criticized since they are thought to be particularly affected by the phenomenon of adaptive preferences and social comparison. For social policy purposes, processes of downward adaptation in disadvantaged individuals are of particular importance, i.e., it is supposed that such people compare themselves with others who are in the same precarious situation or even worse off and, as a result, lower their expectations and adapt their aspirations and preferences to their material and financial constraints. Based on the 2006–2010 waves of the Swiss Household Panel study, this contribution examines whether, and to what degree, indicators of material deprivation, subjective poverty and subjective well-being are affected by such downward adaptations. Our empirical analysis demonstrates that the bias caused by adaptation processes varies considerably among different measures and that, although subjective indicators are indeed often affected by this phenomenon, there are also robust measures, notably Townsend’s deprivation measure, Halleröd’s proportional deprivation index and the subjective well-being measure of general life satisfaction.     

Subjective Well-Being and Social Capital in Belgian Communities. The Impact of Community Characteristics on Subjective Well-Being Indicators in Belgium

In this article, we investigate the effect of individual and community level characteristics on subjective well-being in Belgium. Various indicators for subjective well-being are being used in a multilevel analysis of the 2009 SCIF survey (n = 2,080) and the 2006 Belgian ESS sample (n = 1,798). On the individual level, most hypotheses on the determinants of subjective well-being were confirmed. Living with a partner and age were shown to have strong effects, but also social capital indicators had a significant positive effect on subjective well-being. All these effects remained significant controlling for optimism. On the community level, especially unemployment rate had a negative impact on subjective well-being. The analysis further demonstrates that in homogeneous regions, community characteristics have a far weaker impact on subjective well-being indicators than in economically more heterogeneous regions.     

A test of the utility of social indicators for behavioral health service planning

Given current imperatives for more effective, responsive, and economical government, policy planners and administrators are seeking increasing assistance from social scientists. Here the usefulness of social indicators to the processes of policy planning and implementation in the delivery of mental health, alcohol and drug abuse services is investigated to determine whether social indicator data can contribute to more effective policy planning. In a two part study, the relationship between social indicators and Specific sources of these data were: population total, subdivided by geographic area and race (Caucasian, Black, and Other, which in Arizona is virtually all Native Americans) from the 1975 special census; population by age and ratio of dissolutions to marriages from the Arizona Statistical Review for 1977; crime rates from the Arizona State Justice Planning Agency for 1975; and cause of death rates from the Bureau of Vital Statistics, Arizona Department of Health Services for 1975. Subjective measures of psychological well-being were not available for the internal validational component of the study. state wide service utilization rates and The Negative Affect Scale measures the individual's level of anxiety, worry, loneliness, and sadness, and is associated with other measures that have been used in epidemiological studies to identify persons with psychological difficulties. The Psychiatric Screening Inventory assesses an individual's level of psychiatric impairment as evidenced by the frequency with which he or she reports having experienced each of the 22 psychological and psychosomatic symptoms on the scale. It has also been used in numerous epidemiological studies to investigated levels of impairment among various populations. The Positive Affect Scale reflects the degree to which the person is involved with, interested in, and experiences control over his or her physical and social environment. Active involvement with the world and frequent social participation are considered to be conducive to the experience of positive affect. The Perceived Quality of Life Scale measures the degree to which the persons is satisfied with the quality of his or her life. The score on this scale is a composite of the respondent's level of satisfaction in different areas of life such as standard of living, health, personal functioning, and family life. The greater the satisfaction in these separate areas, the higher will be the individual's overall evaluation of the quality of his or her life. psychological well-being in the community is examined. Both objective and subjective social indicators were studied. Both types of indicators were found to be useful and complementary in identifying service needs and states of well-being in the community.     

Building Weighted-Domain Composite Indices of Life Satisfaction with Data Envelopment Analysis

The specialised literature has frequently addressed the relationship between life domains and people’s satisfaction with life. Some researchers have posed questions regarding the importance of domains, therefore interpreting them as weightings and creating domain satisfaction indices. This paper illustrates how Data Envelopment Analysis (DEA) and Multi-Criteria-Decision-Making (MCDM) techniques can be employed to compute domain-based composite indices of life satisfaction and weightings for life domains. Furthermore, an empirical application is performed on a sample of 178 people living in a rural community in Yucatan (Mexico). One of the main features of the aforementioned techniques is that weightings might differ from one individual to another. Accordingly, several weighting schemes are used to compute different life satisfaction indices, in addition to a constant equally-weighted index. Based on the goodness-of-fit criteria commonly used in this literature, our main result is that DEA-MCDM indicators of life satisfaction do not improve the relationship with self-reported life satisfaction in comparison to the equally-weighted index.     

A Decade of Sub-national Pro-poor Growth in Pakistan

The literature on subjective well-being has highlighted the negative effects associated with the restrictions and inequality imposed by the hukou system on China’s rural population. However, quantifying the cost of holding a rural hukou has generally been challenging because it can reflect unobserved individual characteristics related to educational and occupational choices. Thanks to RUMiC, a new longitudinal database on China, this limitation can be overcome by exploiting exogenous changes in hukou status due to land expropriation. The results support that receiving an urban hukou substantially enhances subjective well-being within the household, especially for males. The results complement a growing literature on subjective well-being focusing on China.     

Economic Well-Being in U.S. Metropolitan Statistical Areas

In recent years there has been increased interest from economists and policy makers to measure a nation’s economic well-being. This paper extends this development to US Metropolitan Statistical Areas (MSAs). An economic well-being index is constructed using indicators of income, education, crime, health and pollution. The analysis allows comparison of a MSA with another and with itself over time. The index is not highly correlated with real gross domestic product per capita and therefore adds value to the discussion of economic well-being in MSAs. However, it is shown that the index may violate social choice principles thereby reducing its usefulness.     

Choices Which Change Life Satisfaction: Similar Results for Australia, Britain and Germany

Using data from national socio-economic panel surveys in Australia, Britain and Germany, this paper analyzes the effects of individual preferences and choices on subjective well-being (SWB). It is shown that, in all three countries, preferences and choices relating to life goals/values, partner’s personality, hours of work, social participation and healthy lifestyle have substantial and similar effects on life satisfaction. The results have negative implications for a widely accepted theory of SWB, set-point theory. This theory holds that adult SWB is stable in the medium and long term, although temporary fluctuations occur due to life events. Set-point theory has come under increasing criticism in recent years, primarily due to unmistakable evidence in the German Socio-Economic Panel that, during the last 25 years, over a third of the population has recorded substantial and apparently permanent changes in life satisfaction (Fujita and Diener in J Pers Soc Psychol 88:158–64, 2005; Headey in Soc Indic Res 85:389–403, 2008a; Headey et al. in Proc Natl Acad Sci USA 107(42):17922–17926, 2010). It is becoming clear that the main challenge now for SWB researchers is to develop new explanations which can account for medium and long term change, and not merely stability in SWB. Set-point theory is limited precisely because it is purely a theory of stability. The paper is based on specially constructed panel survey files in which data are divided into multi-year periods in order to facilitate analysis of medium and long term change.     

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.     

Individual- and Neighbourhood-Level Indicators of Subjective Well-Being in a Small and Poor Eastern Cape Township: The Effect of Health,Social Capital,Marital Status,and Income

Our study used multilevel regression analysis to identify individual- and neighbourhood-level factors that determine individual-level subjective well-being in Rhini, a deprived suburb of Grahamstown in the Eastern Cape province of South Africa. The Townsend index and Gini coefficient were used to investigate whether contextual neighbourhood-level differences in socioeconomic status determined individual-level subjective well-being. Crime experience, health status, social capital, and demographic variables were assessed at the individual level. The indicators of subjective well-being were estimated with a two-level random-intercepts and fixed slopes model. Social capital, health and marital status (all p < .001), followed by income level (p < .01) and the Townsend score (p < .05) were significantly related to individual-level subjective well-being outcomes. Our findings showed that individual-level subjective well-being is influenced by neighbourhood-level socioeconomic status as measured by the Townsend deprivation score. Individuals reported higher levels of subjective well-being in less deprived neighbourhoods. Here we wish to highlight the role of context for subjective well-being, and to suggest that subjective well-being outcomes may also be defined in ecological terms. We hope the findings are useful for implementing programs and interventions designed to achieve greater subjective well-being for people living in deprived areas.     

DEA-Like Model and Common Weights Approach for the Construction of a Subjective Community Well-Being Indicator

A growing literature assesses the quality of life and well-being in geographically and/or politically divided areas. The paper proposes a new subjective well being (SWB) indicator based on residents’ satisfaction with environment and community, personal life and leisure activities. Our approach is a novel construction and new application of the well-being index, specifically, a DEA-like model with common weights under the benefit of the doubt (BoD) approach. This approach is very interesting in the SWB framework, allowing us to differentiate efficient individuals or estimate the relative importance of each domain in the SWB indicator. The results state that Personal life is the domain that most profoundly affects SWB index; it also differs in groups of individuals and geographic spaces.