Decomposing the Europe 2020 Index

Providing a reliable indicator of the progress of the European countries towards the achievement of the Europe 2020 objectives is crucial for policy makers. Recently, a composite index was suggested for this task. In this paper, we propose a decomposition of this composite index by distinguishing between three different components: country-, group-, and objective-specific indexes. The decomposition, while simple and consistent with previous works, allows us to better quantify, measure, and monitor the progress of the European countries towards the achievement of the Europe 2020 objectives. Our findings suggest that significant efforts are still required to reach the Europe 2020 objectives. The decomposition highlights important patterns for the three levels for each country.     

Parenthood and Quality of Life in Old Age: The Role of Individual Resources,the Welfare State and the Economy

Although the notion of ‘Social Europe’ can refer to different principles and policy options, most research narrows down attitudes towards Social Europe to a unidimensional construct. In this study, we instead propose a multi-dimensional approach, and contribute to the literature in three ways. First, we elaborate the notion of ‘Social Europe’ conceptually, and distinguish between the decision-making level for social policy, European social citizenship, harmonization, member-state solidarity and interpersonal solidarity. Second, analysing the 2014 Belgian National Election Study by means of confirmatory factor analysis we evidence that citizens indeed have distinct attitudes towards the policy principles and instruments of Social Europe. Although these attitudinal dimensions are interrelated, they cannot be reduced to a single Social Europe factor, meaning that citizens differentiate in their attitudes between various aspects of Social Europe. In addition, our research indicates that member-state solidarity is the primary aspect of Social Europe in public opinion, whereas the feature that has received most scholarly attention in empirical research to date—the preferred decision-making level for social policy—cannot be considered as a key component of attitudes towards Social Europe. Third, we investigate whether citizens with different educational levels conceptualize Social Europe similarly using multigroup confirmatory factor analysis. Results indicate that the attitudinal factor structure of Social Europe is largely equivalent among lower and higher-educated citizens.     

Developing a Social Capital Index for the Netherlands

This paper integrates a set of independent social capital indicators into one index by using structural equation modeling (SEM) based on partial least squares estimation (PLS). The social capital index consists of two dimensions: participation and trust. In each of the two dimensions, three levels are distinguished: social (micro), organizational (meso), and political (macro). The main objectives of the index are to: (1) provide a coherent overview of social capital in the Netherlands; (2) monitor social capital over time; and (3) compare subpopulations. A broad spectrum of indicators is included, however, these are only weakly correlated and consequently treated as distinct. Therefore, traditional index development methods such as factor analysis and reflective modeling cannot be applied. Consequently, formative modeling in which the indicators are specified as causes rather than as effects is used. We employ the Permanent Survey on Living Conditions 2009 (POLS), administered face-to-face to 7,560 respondents in the Netherlands. We find that the index predicts well-being and health, which demonstrates nomological validity. Subsequently, bootstrapping is conducted to test the robustness of the index. And the 2009 index is replicated based on the 2010 POLS data. The replication shows that the 2009 model is relatively stable and results are robust. Finally, the model is extended by including volunteering and informal help, which changes the model but the results remain largely the same. This index, which is shown to be valid and robust, contributes to a further understanding of the concept of social capital.     

The European Gender Equality Index: Conceptual and Analytical Issues

This article presents a composite indicator designed to measure and compare existing structural gender equality in the countries of the European Union. The construction of an index is always a complex task which requires making a great many important conceptual, analytical and empirical decisions. This complexity explains the wide variety of gender equality indices created during the last 25?years. All the proposed indices attempt to measure the same thing, gender (in)equality, but none of them define the concept they want to measure in exactly the same way, nor do they operationalize measurement in the same manner. Taking into account the methodology of these preceding approaches, this article explains the basis for the most important analytical and conceptual decisions made in constructing the European Gender Equality Index. The article also includes the overall scores obtained by the 27 European countries on this index, on its three basic dimensions (education, work and power), and on the eighteen indicators that make up its structure. With this data, corresponding to 2009, an adequate analysis of gender equality in Europe can be established.     

Beyond GDP: Using Equivalent Incomes to Measure Well-Being in Europe

It has become widely accepted that focusing exclusively on income growth may lead to a too narrow-sighted measure of changes in well-being. People care about other dimensions of life, such as their health, employment, social interactions and personal safety. Moreover, an exclusive focus on income growth remains blind to the distribution of income and well-being in the society. We propose therefore a set of five principles for a richer measure of well-being. In particular, we advocate the use of a measure based on “equivalent incomes”, which satisfies these principles. We discuss and illustrate how this equivalent income approach can be implemented in Europe, using the ESS data for 2008 and 2010. We find that introducing inequality aversion and including other dimensions in the analysis leads to a remarkably different perspective on the growth of well-being in Europe.     

Construction, Validation and Application of the Measurement of Social Cohesion in 47 European Countries and Regions

This paper aims to present a theoretically based, multidimensional and comparable measurement of social cohesion, applicable in 47 European countries/regions using the most recent micro-level data of the European Value Study (EVS) from 2008 that build upon the previous research conducted on the EVS data from 1999 covering 33 countries. The analysis is conducted in five steps. In the first part, we create a set of measurable intermediate indicators that correspond to the social cohesion dimensions suggested by the theory. In the second part, we verify whether these indicators empirically corroborate the multidimensional structure of the concept proposed by the theory. The third part examines whether the obtained intermediate indicators of social cohesion form the same constructs across countries and whether they can yield a cross-country equivalent measure of social cohesion. In the fourth step, composite scores of all dimensions of social cohesion are calculated for all analysed countries/regions. The last step shows a practical application of the obtained indices and compares levels of social cohesion in six broader geographical regions of Europe to demonstrate the applicability of the measurement in comparative research.     

Hypersegregation in U.S. Metropolitan Areas: Black and Hispanic Segregation Along Five Dimensions

Residential segregation has traditionally been measured by using the index of dissimilarity and, more recently, the P* exposure index. These indices, however, measure only two of five potential dimensions of segregation and, by themselves, understate the degree of black segregation in U.S. society. Compared with Hispanics, not only are blacks more segregated on any single dimension of residential segregation, they are also likely to be segregated on all five dimensions simultaneously, which never occurs for Hispanics. Moreover, in a significant subset of large urban areas, blacks experience extreme segregation on all dimensions, a pattern we call hypersegregation. This finding is upheld and reinforced by a multivariate analysis. We conclude that blacks occupy a unique and distinctly disadvantaged position in the U.S. urban environment.     

Are marriages that cross ethnic boundaries more likely to end in divorce?

According to the most recent Australian census, almost 40 per cent of the population were immigrants or the children of immigrants. They came from a wide range of countries, mainly in Europe or Asia. Earlier census analyses of their marriage patterns in Australia show a declining tendency over time towards inmarriage among most immigrant groups. However, there are potential biases in using retrospective census data to measure changes in inmarriage. For example, marriages that cross ethnic lines may be more likely to end in divorce than ethnically homogeneous marriages. If so, an analysis of marriages surviving to the most recent census will tend to (1)understate past rates of intermarriage and (2)overstate any trend over time towards intermarriage. This paper discusses data on ethnic divorce patterns in Australia since the end of the Second World War and assesses evidence for differential rates of breakdown among ethnically homogeneous versus heterogeneous marriages. Analysis shows that, relative to a cross-pressures model of behavioural convergence, heterogamous marriages are more likely to end in divorce than homogamous ones.     

Employment and Earnings Expectations of Jobless Young Skilled: Evidence from Italy

Quality of Life (QoL) is a multi-dimensional idea that includes various distinctive dimensions and its estimation is considered as an essential factor for policy assessment. The study estimates the inter-district variation in QoL in Pakistan by using a data set of Household Integrated Economic Survey of 2010–2011. Objective and subjective indices are constructed to measure QoL with 7 domains and 31 indicators within 89 districts of Pakistan by employing the principal component analysis. The leading result of the study reveals that top ranked district is Jhelum in term of QoL and Tharparkar is at the bottom. The analysis also reveals that the most of the top ranked districts are located in Punjab province. This reflects the better performance of the province in term objective and QoL indices. Whereas, the districts of Balochistan emerge at the lower end in terms of objective and QoL indices. Majority districts of Punjab shows a modest level of satisfaction regarding the facilities provided by the government and the least satisfied districts belong to KPK and Sindh. It is interesting to identify that disparity in the objective index and subjective perceptions are representing QoL differences.

     

Challenges in Constructing a Multi-dimensional European Job Quality Index

There are few attempts to benchmark job quality in a multi-dimensional perspective across Europe. Against this background, we have created a synthetic job quality index (JQI) for the EU27 countries in an attempt to shed light on the question of how European countries compare with each other and how they are developing over time in terms of job quality. Taking account of the multi-faceted nature of job quality, the JQI is compiled on the basis of six sub-indices which cover the most important dimensions of job quality as identified in the literature. The paper addresses the methods used to construct the JQI and make it comparable over time. It presents the results for 2010 and briefly addresses changes over time to illustrate the potential and limits of a multidimensional European JQI. It also considers alternative specifications for various sub-indices and tests for the impact of changes in the indicators used on the outcomes. Overall, the findings appear to confirm the feasibility and desirability of attempting to assess job quality by means of a composite index that can be periodically updated. The key strength of this approach is the possibility to monitor and benchmark EU countries’ overall job quality performances and the outcomes in six sub-dimensions of job quality and compare them with each other, across gender and over time. At the same time, the limitations of such a composite index need to be borne in mind. The most important challenges are the availability (over time), timeliness and periodicity, comparability and disaggregation of data.     

Socio-economic Indexes in Surveys for Comparisons between Countries

The study of socio-economic inequalities from across-national perspective has been hampered by the lack of adequate common indices of socio-economic status that can be used in a self-report survey instrument. This paper examines the construction and the properties of global social indexes in general, and of the Family Affluence Scale (henceforth FAS) in particular. The paper proposes a new strategy for making comparisons of the global index with stratified data, building a revised FAS based on Adapted Canonical Variate Analysis (henceforth ACVA). This alternative strategy for constructing a global index is available in standard software, and the new proposal for stratified data only requires a simple program, which is justified, explained and provided in the text. Data come from the 1998 Health Behaviour in School-Aged Children (HBSC), a WHO Cross-National Study using cluster sampling of schoolchildren from five countries: Denmark, Latvia, Portugal, Scotland and the USA. The results reveal that in every country we would have had a completely different evaluation of the three indicators of Family Affluence if we had used either linear or nonlinear approaches to compute the global indexes. Moreover, Family Affluence comparisons among countries shows that the relative contribution of the three indicators to the overall FAS, changes from country to country. We conclude that separate indicators of Family Affluence are not equally relevant in each country and, as a consequence, do not contribute equally to the global index. For cross-cultural studies, the strategy for constructing an index should be country specific. The methodological developments presented in the paper open up opportunities to study socio-economic patterning of health among young people in the developed world, since self completed surveys can now employ a common measure of family material wealth. The findings show that the RFAS (Revised FAS) is a useful index of socio-economic status for use in national and cross-national surveys of adolescent health and health behaviour. The new strategy for weighting observed indicators in the index gives it enhanced power to detect in equalities.     

Developing an Index of Deprivation Which Integrates Objective and Subjective Dimensions: Extending the Work of Townsend,Mack and Lansley,and Halleröd

This article presents a new approach to index development, extending the methods used by Townsend, Mack and Lansley and Halleröd to measure deprivation in the developed world. The index combines three ‘objective’ dimensions of deprivation (i.e. monetary, consumption and work-related), and weighs them according to subjective perceptions regarding which items are more critical to deprivation. A particular application of factor analysis to determining deprivation measures and their corresponding weights leads to a more sophisticated and theoretically robust index than those used previously. The index draws on data from interviews with both partners of 17 households randomly sampled from a Turkish squatter settlement. The article contends that the methodological and substantive advantages of this approach are relevant to both developing and developed contexts.     

The Reconstruction of a Social Network Abroad. An Analysis of the Interaction Patterns of Erasmus Students

Abstract

Most studies of interaction patterns of international students focus on ‘degree mobility’ and flows from ‘non-Western’ towards ‘Western’ countries. Nevertheless, in Europe, the shorter alternative of ‘credit mobility’ is more prevalent. However, empirical evidence on social network formation within this specific group of international students remains limited. Therefore, in this article, we study the formation of interaction patterns of students who study for a delineated period in another European country, based on a research project conducted in Austria, Belgium, Italy, Norway, Poland and the UK. The results show that specific interaction patterns can be explained from a flow perspective. Moreover, our study shows that students’ networks abroad are already formed before actual departure. In addition, we provide empirical evidence that institutional as well as group practices encourage or impede interaction between exchange and local students. Two transversal dimensions are especially relevant in the explanation of how groups are formed abroad: language proficiency and shared social spaces.     

Using Indicators of Multiple Deprivation to Demonstrate the Spatial Legacy of Apartheid in South Africa

This paper presents a spatial analysis of multiple deprivation in South Africa and demonstrates that the most deprived areas in the country are located in the rural former homeland areas. The analysis is undertaken using the datazone level South African Index of Multiple Deprivation which was constructed from the 2001 Census. Datazones are a new statistical geography designed especially for this Index using techniques developed in the United Kingdom. They are smaller in population size than wards, enabling fine-grained spatial analysis of deprivation across the whole of South Africa. The spatial scale used is the smallest to be used in a developing country to date. Levels of deprivation are compared between former homeland areas as a whole, the rest of South Africa and a case-study township, as well as between each former homeland. Individual dimensions of deprivation and an overall composite measure are presented. Municipality-level analysis shows that this spatial pattern of multiple deprivation continued to persist in 2007, demonstrating the ongoing spatial legacy of apartheid.     

Multi-Dimensional Deprivation in the U.S.

This paper presents a comprehensive analysis of multidimensional deprivation in the U.S. since the Great Recession, from 2008 to 2013. We estimate a Multidimensional Deprivation Index by compiling individual level data on several well-being dimensions from the American Community Survey. Our results indicate that the proportion of the population that is multidimensional deprived averages about 15 percent, which exceeds the prevalence of official income poverty. Lack of education, severe housing burden and lack of health insurance were some of the dimensions in which Americans were most deprived in. Though deprivation increased during the recession, it trended towards a decline between 2010 and 2013. Unlike the official and the supplemental poverty measure which did not show any decline, the deprivation index better reflects the economic recovery since the recession. Overall, the prevalence of deprivation was higher in the southern and the western states and among the Asian and the Hispanic population. Importantly, there was not much overlap between individuals who were income poor and those who were multidimensional deprived. In fact, almost 30 % of individuals with incomes slightly above the poverty threshold experienced multiple deprivations. Our analysis underscores the need to look beyond income based poverty statistics in order to fully realize the impact of the recession on individuals’ well-being.     

Multi-Poverty in Cameroon: A Structural Equation Modeling Approach

The primary objective of this study is to capture multi-poverty with values for welfare dimensions rather than the typical approach of a composite welfare indicator. The method used to explain, measure and calculate the scores for five dimensions of welfare is Structural Equation Modeling. Poverty analysis methods applied on these scores show that each type of poverty has specific determinants, although some determinants are common to several dimensions of poverty. Similarly, each region is affected by particular types of poverty while no form of poverty is unique to a single region. We thus propose to target multi-poverty via dimensional scores to formulate policy. A comparison with previous approaches shows that dimensional scores are more appropriate for identifying the specific needs of the population in the fight against poverty.     

Measuring Social Cohesion: An Experiment using the Canadian National Survey of Giving,Volunteering, and Participating

Social cohesion is a concept difficult to define and to measure. As there can be many definitions, so there can be many measurements. The main problem, either in defining or measuring the concept, is its multilevel and multidimensional nature. At one extreme, country is the most commonly used level to view social cohesion but measurement at this level is of little use for any interventions. At the other extreme, community is the most useful level but it is a social construct for which data are difficult to get, given the administrative boundaries used in social surveys. As an initial attempt to measure social cohesion at a subcountry level, this study focuses on census metropolitan areas for which data on several dimensions of social cohesion are available. We use the information gathered by the National Survey on Giving, Volunteering and Participating (NSGVP) on three dimensions of social cohesion: political (voting and volunteering), economic (occupation, income, labour force participation) and social (social interactions, informal volunteering). Using statistical techniques including factor analysis and standardization, we create an overall index of social cohesion for each CMA. We point out use of this measure for further analysis of social dynamics.     

A Survey of Asset Poverty Among Older Adults of Hong Kong

This study proposes a framework that quantifies and integrates both the tangible and intangible aspects of HC to comprehensively measure the overall level of human capital index (HCI) in small and medium manufacturing enterprises (SMEs). Data were collected from 100 SME experts through the use of questionnaires in two stages. The data collected were first, used for selection purpose, and second, for the prioritization of relevant dimensions and sub-dimensions of HC. The analytic hierarchy process was adopted to prioritize and assign dimension and sub-dimension weights to HC to derive the HCI. The results indicate that not all dimensions and sub-dimensions of HC are important for the HCI. Namely, the HCI can be best represented by 9 dimensions and 35 sub-dimensions of HC. The core dimensions are experience, skills, education, abilities and training. Indeed, within experience, the main sub-dimensions are work-related experience and organizational tenure. The results suggest the importance of experience relative to skills and education. The proposed framework can also be applied to derive industry specific HCI.     

Measuring Temporal Dimensions of the Intensity of Violent Political Conflict

Violent political conflict shows patterns of varied intensity and persistence. These patterns may induce changes in human behavior in various temporal dimensions. In order to study these effects, empirical research needs a suitable way to measure conflict intensity. This paper suggests and illustrates a method of aggregating raw data on violence incidence into complementary temporal categories, in order to enrich empirical insights. We construct short-, medium-, and long-term measures based on daily fatality counts in the Israeli-Palestinian conflict between 1997 and 2011. We show that these dimensions, although constructed from the same set of raw data, contain complementary information since they are only weakly correlated. As an example, we illustrate how several such categories can be useful in modeling the dynamics of food prices. This demonstrates that such aggregations provide complementary temporal perspectives. They therefore can potentially enrich the analysis of the effects of conflict on human behavior beyond commonly employed measurements of daily or yearly frequency.     

A New Multidimensional Approach to Measuring Precarious Employment

This article proposes a new methodology to measure precarious employment with a multidimensional approach. The adjusted multidimensional precariousness rate employed to measure job precariousness is calculated on a counting approach and exhibit several advantages, including its decomposability according to the relative contribution to total precariousness of different dimensions and sub-populations. For illustrative purposes, the methodology is applied to the Spanish case using microdata from the Encuesta de Estructura Salarial (Wage Structure Survey) and considering three precariousness dimensions of jobs (low wages, fixed-term contracts and part-time work). The evidence obtained shows that at the beginning of the economic crisis there was an increase in the incidence and intensity of precariousness for new jobs created in the Spanish economy. Moreover, obtained evidence shows that the incidence of precarious employment is particularly high in certain economic sectors and for females.