An Index of Child Well-being in the European Union

While the living conditions of children and young people in the European Union have gained increasing recognition across the EU, the well-being of children is not monitored on the European level. Based on a rights-based, multi-dimensional understanding of child well-being we analyse data already available for the EU 25, using series data as well as comparative surveys of children and young people. We compare the performance of EU Member States on eight clusters with 23 domains and 51 indicators and give a picture of children’s overall well-being in the European Union. The clusters are children’s material situation, housing, health, subjective well-being, education, children’s relationships, civic participation and risk and safety.     

Understanding material deprivation: A comparative European analysis

In this paper, taking advantage of the inclusion of a special module on material deprivation in EU-SILC 2009, we provide a comparative analysis of patterns of deprivation. Our analysis identifies six relatively distinct dimensions of deprivation with generally satisfactory overall levels of reliability and mean levels of reliability across countries. Multi-level analysis based on 28 European countries reveals systematic variation in the importance of within and between country variation for a range of deprivation dimensions. The basic deprivation dimension is the sole dimension to display a graduated pattern of variation across countries. It also reveals the highest correlations with national and household income, the remaining deprivation dimensions and economic stress. It comes closest to capturing an underlying dimension of generalized deprivation that can provide the basis for a comparative European analysis of exclusion from customary standards of living. A multilevel analysis revealed that a range of household characteristics and household reference person socio-economic factors were related to basic deprivation and controlling for contextual differences in such factors allowed us to account for substantial proportions of both within and between country variance. The addition of macro-economic factors relating to average levels of disposable income and income inequality contributed relatively little further in the way of explanatory power. Further analysis revealed the existence of a set of significant interactions between micro socio-economic attributes and country level gross national disposable income per capita. The impact of socio-economic differentiation was significantly greater where average income levels were lower. Or, in other words, the impact of the latter was greater for more disadvantaged socio-economic groups. Our analysis supports the suggestion that an emphasis on the primary role of income inequality to the neglect of differences in absolute levels of income may be misleading in important respects.     

Time Poverty Thresholds and Rates for the US Population

Time constraints, like money constraints, affect Americans’ well-being. This paper defines what it means to be time poor based on the concepts of necessary and committed time and presents time poverty thresholds and rates for the US population and certain subgroups. Multivariate regression techniques are used to identify the key variables associated with discretionary time and time poverty. The data confirm the idea that individuals in households with children have less discretionary time and are thus more likely to be time poor than those in households without children. Controlling for other household characteristics, an additional child reduces a household adult’s daily discretionary time by 35 min. Surprisingly, while one might expect the necessary and committed activities required of an individual to be less in a two-adult household with children than in a one-adult household with children because child care can be shared, the data show that the presence of such a second adult only marginally reduces the necessary and committed time burden of an individual household member. Perhaps even more surprisingly, household income is not a statistically significant correlate of discretionary time or time poverty.     

When Twenty-Four Hours is not Enough: Time Poverty of Working Parents

Individuals can be money poor, time poor or both. While income is the most used indicator of poverty, broader indexes including non-monetary aspects of deprivation have been proposed and measured. As one such measure, our study focuses on the element of deprivation arising from the time deficit of many working people. The usual poverty threshold is calculated as the amount of income to buy the minimum required goods and services from the market. This minimum required purchase is greater for these people since they have less time than the average person to produce some goods and services for themselves at home. So, they need money to buy these in the market in order to maintain the same consumption. The income standard must be supplemented to adequately measure actual poverty. Time use data make it possible to establish time requirements and time availability and provide a measure of time poverty. Using Canadian GSS 1998 data, and building on the work of Vickery (1977, ‚The time poor: A new look at poverty’, The Journal of Human Resources 12(1), pp. 27-48) and of Douthitt (1993, ‚The inclusion of time availability in Canadian poverty measures’, Time-Use Methodology: Toward Consensus (ISTAT, Roma), pp. 83–91), and our own previous study, we estimate time-adjusted poverty thresholds and rates for single and dual parent Canadian families. As expected, we have found high incidence of time deficit among the employed single parents with children. We make a case for the acceptance of a redefined poverty standard for such time-deprived groups.     

Household Budgets as a Social Indicator of Poverty and Inequality in South Africa

In the absence of a universally accepted method of calculating poverty, household expenditure can be used to provide an indication of inequality of wealth and serve as an indicator of poverty. Household expenditure comprises expenditure of private households on goods and services, irrespective of their durability. The portion of household budgets allocated to different types of goods and services provides an indication of the material standard of living of a population. The article discusses different definitions of poverty and compares the state of poverty according to these definitions in selected countries. This is followed by an analysis of South Africa’s economic position in the world and a comparison of the household budgets and demographic profile of South African households that fall into different income groups in order to identify the differences between the poorest and the wealthiest households in South Africa. Income inequality in South Africa is further elucidated by means of the Gini coefficient. A comparison is also made between the household budgets of the poorest households with the minimum financial living level requirements in South Africa to maintain their health and have acceptable standards of hygiene and sufficient clothing for their needs.     

The European 'Welfare Mix': Institutional Configuration and Distributive Outcome in Sweden and the European Union. A Longitudinal and Comparative Perspective

This paper explores the institutional configuration (the three welfare delivery systems: market, welfare state, family) and its distributional correlates (income inequality; poverty rates; inequality related to social cleavages such as social class, generation, gender, region and family). The analysis has a twofold perspective: comparative (comparing 14 EU member states) and longitudinal (comparing Sweden 1975--1995), using nations as statistical units. The European union appears to be divided in three distinct and homogeneous clusters: a Nordic cluster (Sweden, Denmark, Finland) exhibiting large social expenses, high labour market participation and weak family ties. Its distributional features are low income inequality, poverty rates and class inequality, but high levels of inequality between generations; a southern cluster (Greece, Italy, Spain, Portugal) characterised by lower welfare provisions, low employment, but strong traditional families. Its distributional features are high levels of income inequality, poverty and class inequality, but low levels of generational inequality; a central European cluster in intermediate position. UK joins the southern cluster with high levels of income inequality, poverty and class inequality.     

Child Poverty in Vietnam: Providing Insights Using a Country-Specific and Multidimensional Model

Despite a wide under-prioritization, the issue of child poverty has received increasing attention worldwide over the last decade. The acknowledgement in Vietnam that child-specific poverty measurement is crucial for poverty efforts directed towards children, and the current lack thereof, instigated the development of a Vietnam child poverty approach. This paper proposes a country-specific, multidimensional and outcome-based approach for the measurement of the incidence, depth and severity of child poverty. It does so at the level of the individual child using household survey data. The development of such an approach at the level of the individual child presents an appropriate alternative for or supplement to the widely used monetary poverty approach, allowing for the use of compatible analytical methods. Findings suggest that 37% of all children in Vietnam live in poverty, with the most pressing areas of deprivation being water, sanitation and leisure. We do not find evidence for a gender bias but do observe a large urban–rural divide, regional disparities and large ethnic inequalities. We argue that this tailor-made approach is a valuable new tool for policy makers and analysts in Vietnam as it enables identification and analysis of poor children, their characteristics and most pressing areas of deprivation within the country’s specific social and cultural context.     

Good Job,Good Life? Working Conditions and Quality of Life in Europe

Cross-national comparisons generally show large differences in life satisfaction of individuals within and between European countries. This paper addresses the question of whether and how job quality and working conditions contribute to the quality of life of employed populations in nine strategically selected EU countries: Finland, Sweden, the UK, the Netherlands, Germany, Portugal, Spain, Hungary, and Bulgaria. Using data from the European Quality of Life Survey 2003, we examine relationships between working conditions and satisfaction with life, as well as whether spillover or segmentation mechanisms better explain the link between work domain and overall life satisfaction. Results show that the level of life satisfaction varies significantly across countries, with higher quality of life in more affluent societies. However, the impact of working conditions on life satisfaction is stronger in Southern and Eastern European countries. Our study suggests that the issue of security, such as security of employment and pay which provides economic security, is the key element that in a straightforward manner affects people’s quality of life. Other working conditions, such as autonomy at work, good career prospects and an interesting job seem to translate into high job satisfaction, which in turn increases life satisfaction indirectly. In general, bad-quality jobs tend to be more ‘effective’ in worsening workers’ perception of their life conditions than good jobs are in improving their quality of life. We discuss the differences in job-related determinants of life satisfaction between the countries and consider theoretical and practical implications of these findings.     

Measuring Child Poverty in South Africa: Sensitivity to the Choice of Equivalence Scale and an Updated Profile

This paper offers evidence on the sensitivity of child poverty in South Africa to changes in the adult equivalence scale (AES) and updates the child poverty profile based on the Income and Expenditure Survey 2005/06. Setting the poverty line at the 40th percentile of households calculated with different AESs the scope and composition of child poverty are found to be relatively insensitive to the scale used. The rankings of children of different ages, girls versus boys, racial groupings and children living in rural versus urban areas are unaffected by choice of AES, although some provincial rankings on the poverty headcount measure are. The proportions of children and households ‘correctly’ identified as poor for the full range of scales is extremely high. These findings support the argument that it may be appropriate for profiling poverty in South Africa to use a poverty line based on a per capita welfare measure. For the construction of the child poverty profile, per capita income is used as the welfare indicator with the poverty line set at the 40th percentile of household. The profile suggests that poverty amongst children is more extensive than amongst the population or adults even after the massive injection of transfers into households with poor children through the child support grant. The child poverty headcount, depth and severity are all highest amongst children age 0–4 and lowest amongst those aged 15–17, who are not yet beneficiaries of the grants. They are also highest amongst African and Coloured children. Large variations across provinces remain. The analysis underlines the importance of prioritising children in the fight against poverty, particularly in their earliest years.     

Household and Contextual Indicators of Poverty in Tunisia: A Multilevel Analysis

Using micro data from the 2010 National Survey on Households’ Budget, Consumption and Standard of Living, this study aims to investigate main factors contributing to poverty distribution, one of the most severe socioeconomic problems in Tunisia. To this end, we use a multilevel Logit model and a multilevel mixed linear model to simultaneously analyze the micro-level (household) and macro-level (governorate) factors that might affect the household poverty status. Household size, household composition, occupation, education levels, the gender of the household head and the number of earner by household variables were assessed at the micro-level. Unemployment rate, poverty rate, industrial and agriculture parts and the migration are included to control the effect of contextual effects. Our findings showed that the likelihood of household being poor is positively and significantly related to household size, more children and lower education level. Extreme poverty is more likely to occur in rural than urban areas. Macro-level analyses indicated that greater neighbourhood unemployment rate was associated with higher odds of poverty, while greater industrial agglomeration and migration balance were associated with reduced odds of poverty.     

Personal Wellbeing Index in a National Cohort of 87,134 Thai Adults

Satisfaction with life correlates with other measures of subjective wellbeing and correlates predictably with individual characteristics and overall health. Social indicators and subjective wellbeing measures are necessary to evaluate a society and can be used to produce national indicators of happiness. This study therefore aims to help close the gap in wellbeing data for Thailand. The specific aims are to: (1) calculate the Thai PWI and domain scores using a large scale sample; (2) examine the level of life satisfaction of Thais when compared to international standards; (3) examine the Thai PWI and domains in relation to demographic, socioeconomic, and geographic characteristics. Our report derives from the findings on the Personal Wellbeing Index (PWI) in a large national cohort of Sukhothai Thammathirat Open University adult students living all over Thailand (n = 87,134). This Thai cohort had an overall PWI of 70.0 on a scale from 0 to 100 which is consistent with Western populations. The ‘spirituality and religion’ domain had the highest average score. ‘Standard of living’, ‘future security’ and ‘achievement in life’ made the largest contribution to overall ‘satisfaction in life as a whole’. These domains also show a positive trend with increasing age, being married, higher income, more education, more household assets, and rural residence. The PWI will be an important tool for policymakers to understand the subjective wellbeing of population groups especially as Thailand is undergoing a political and economic transition.     

Exploring Differences in National and International Poverty Estimates: Is Uganda on Track to Halve Poverty by 2015?

This paper explores causes of differences in estimates of poverty incidence in Uganda since the early 1990s as measured by the Uganda Bureau of Statistics and the World Bank. While both sets of estimates from the two organisations show a declining trend in poverty incidence there are important differences in the levels of poverty, the speed of the decline and the direction of change in the early 2000s. Methodological differences linked to the determination of the poverty line and adjustments for household composition are found to play a role. Assessing the effect of other potential causes is complicated by limitations in the World Bank’s meta-data.     

A Multilevel Analysis of Factors Related to Poverty in Welfare States

This study aims to investigate factors contributing to poverty, one of the most significant social problems in Western societies. To this end, 13 countries that have made a variety of efforts to reduce poverty, and therefore experienced similar development processes related to welfare, were selected. To overcome the methodological limitations of previous studies, the study utilized a Hierarchical Generalized Linear Model to simultaneously analyze individual-level and state-level factors that might affect the poverty status of a household, employing household data from the fifth wave of Luxembourg Income Study and Comparative Welfare State data. By comparing the magnitude of individual- and state-level effects in the analysis process, the model can empirically illuminate which of the two levels is more responsible for households’ destitution. Furthermore, by analyzing the level of and characteristics of poverty in each country, this study examines whether there are discrepancies in the level of poverty across types of welfare states and what factors contribute to these discrepancies.     

The Capability Approach and Fuzzy Poverty Measures: An Application to the South African Context

One way of making the capability approach (CA) operational uses fuzzy poverty measures. In this paper, we present a new approach to applying these measures in the South African context using responses to a questionnaire on ‘The Essentials of Life’ in conjunction with a methodology for dealing with the vagueness of poverty. Our results suggest very low cut-offs for people or households to classify as definitely poor for some social indicators. These cut-offs are far lower than those Klasen used in his application of the CA. The attempt to apply the CA using Cheli and Lemmi’s ‘totally fuzzy and relative’ poverty measure in conjunction with our approach to specifying cut-offs can lead to incoherence. This measure can, nonetheless, be useful when social indicators have a ‘relativist component’. While the Cerioli and Zani measure does not lead to such incoherence, it also has a serious weakness.     

Work-Family Conflict and Working Conditions in Western Europe

This article explores the influence of working conditions on work-family conflict (WFC) among married/cohabiting employees across seven European countries. Using data from the European Social Survey, the paper first investigates the role of working conditions relative to household level characteristics in mediating work-family conflict at the individual level. It then considers whether perceived conflict is lower in countries with coordinated production regimes and where social policy is more supportive of combining paid work and care demands. For men the lowest rates of WFC occurred in Denmark, Sweden and Norway, so for men there was a distinct ‘Nordic’ effect consistent with the welfare and production regime expectations. For women, we find paradoxically that ‘raw’ levels of work-family conflict are particularly high in France, Denmark and Sweden where supports for reconciling work and family life are high. Our models show that the high conflict among French women can be explained by household composition factors and so is due to higher levels of family pressures. Higher levels of conflict among Danish and Swedish women appear to be associated with their longer hours of work. Work conditions are found to play a larger role than family characteristics in accounting for work-family conflict, both in the country level models and in the pooled models. While this partly reflects our focus on the spillover of work into family life, it is notable that family characteristics have little effect in mediating work pressures. The results suggest that a policy emphasis on improving work conditions is likely to have major leverage in reducing work-family conflict.

A Sociodemographic Risk Index

In this paper, we conceptualize and develop an index of sociodemographic risk that we hypothesize will be an improvement over the standard poverty measure as a measure of risk for children’s development. The poverty line is widely used in government statistics and in research but is also widely acknowledged to have multiple shortcomings. Using recent data from the National Survey of America’s Families, we develop and examine a Sociodemographic Risk Index for two potential purposes: (a) to serve as a summary indicator of children’s environments that affect their well-being, and (b) to serve as a variable that can be used to identify at-risk subgroups of children whose well-being should be examined separately in indicator reports. Based on substantial research on children’s development, we chose five variables for the index: family income, family structure, parent education, family size, and home ownership. An additive sociodemographic risk index using these variables is strongly associated with multiple measures of child well-being in both bivariate and multivariate analyses. Hence, it serves as a good marker of risk for children and therefore as an indicator that could be monitored over time, across groups, and across places, as well as a variable that could be used to identify subgroups of at-risk children whose well-being should be monitored. However, analyses do not indicate that it performs better at identifying at-risk children than the current poverty measure. Therefore, we recommend the Sociodemographic Risk Index primarily as an additional summary indicator to be monitored, rather than as a replacement for the poverty measure.     

How to Reduce the Impact of Equivalence Scales on Poverty Measurement: Evidence from Turkey

The main aim of the paper is to contribute to the poverty measurement literature by demonstrating a method to reduce the impact of equivalence scales in poverty measurement. This is accomplished by choosing the most appropriate reference household type. The results showed that one adult household is certainly not suitable for being the reference household type. When one adult household is set as the reference, in the range of no equivalence scale and per capita equivalence scale, poverty head count ratio changes from 1 to 48 %, showing the huge effect of the equivalence scale choice. Also the analyses at household size level showed that one adult household type is not convenient to be the reference household type. On the other hand, no clear distinction could be made between central household types, but the importance of choosing a household type close to the center was demonstrated for Turkish data.     

Role of women in schooling and child labour decision: the case of urban boys in India

This paper uses household level data from National Sample Survey Organization (NSSO) of India, the 55th round (1999–2000), to show that for urban male children there exists significant wage incentive for schooling, though school dropout rate and child labour incidence are not so small. The parents’ level of education plays an important role in reducing this tendency; thus establishing the linkage between social and human capital outcomes in the family. We also look at the incidence of harmful and manual occupations among the child labour. Mother’s education now appears as a very important factor in curbing these incidences; supporting earlier findings that women’s empowerment (one important indicator of which would be female educational level) is indeed instrumental in increasing parental awareness.     

Improving Well-Being in Bhutan: A Pursuit of Happiness or Poverty Reduction?

Increasing happiness is a key priority for the Bhutanese government. This priority displaces more traditional (economic) objectives such as the pursuit of income growth and the reduction of income poverty. This paper examines the implications of this approach by examining whether there are common correlates of the four following measures of human well-being in Bhutan: income poverty; multidimensional poverty; perceived poverty; and happiness. Our findings suggest that whilst there is a degree of commonality, determinants of the different measures of well-being are distinct. Common factors include having a savings account, levels of literacy and household size. Further we show that higher levels of income poverty, multidimensional poverty and perceived poverty are found to be negatively associated with happiness. Importantly, our findings suggest that a focus on increasing happiness might come at the expense of improving other measures of wellbeing.     

Do Income Surveys Overestimate Poverty in Western Europe? Evidence from a Comparison with Institutional Frameworks

Comparative poverty research flourishes,especially since comparable income data areeasily available through the Luxembourg IncomeStudy. However, widely-used income surveyssuffer from a number of methodological pitfallsfor comparative poverty research. This researchreport uses the data available in theLuxembourg Income Study for three countries –Germany, Sweden and the United Kingdom – toexemplify the limited comparability ofwidely-used income data used in povertyresearch. In a simple simulation exercise,entitlements to means-tested benefits areimputed for each household in the sample, basedon the institutional regulations in eachcountry. Compared to actual poverty rates inthe original sample, imputed poverty rates aremarkedly smaller, if not reduced to zero. Evenif one accounts for an incomplete take-up ofbenefits, a large gap between actual andsimulated poverty rates still remains, largelycaused by problems in survey design. The paperconcludes with a number of recommendations forimproving income surveys from the perspectiveof comparative poverty research.