The Europe 2020 Index

This paper presents a new index to quantify, measure and monitor the progress towards the objectives of the Europe 2020 strategy. This index is based on a set of relevant, accepted, credible, easy to monitor and robust indicators presented by the European Commission at the time the strategy was launched. The internal analysis of the index shows that the Smart and the Inclusive growth dimensions of the strategy are strictly correlated and that the trade-offs between each of these two dimensions and the Sustainable one exist but are decreasing, suggesting that a change towards more sustainable models of development is occurring in Europe. The external analysis of the index shows that it can be a valid measure to assess the overall competitiveness of countries and that the most critical factors for this strategy to be successful are good governance and 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.     

Immigrants’ educational disadvantage: an examination across ten countries and three surveys

Studies on immigrants’ disadvantage focus predominantly on labour market perspectives. Immigrants’ poor education is a subject much less examined especially in a cross-national context. This paper examines differences in educational achievement between immigrants and natives across ten OECD countries. In English-speaking countries, immigrants fare best, while in Continental European countries they fare worse compared to natives. Whilst language skills seem to explain immigrants’ disadvantage in English-speaking countries, socioeconomic background and school segregation are further important determinants of immigrants’ gap in Continental Europe. Results presented are predominantly robust across three sources of achievement data: PISA, TIMSS and PIRLS.      

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.     

The influence of social and economic ties to the spread of COVID-19 in Europe

Journal of Population Research - By late January 2020, the 2019 novel coronavirus (SARS-CoV-2) had reached Europe and most European countries had registered cases by March 1. However, the spread of...     

Composite Indicator of Social Inclusion for European Countries

Social inclusion is one of the key challenges of the European Union (EU) Sustainable Development Strategy. We use four indicators from EU policies to measure social inclusion for the 27 member countries of Europe. In particular, we aggregate the four indicators in a multiplicative composite indicator via a DEA-BoD approach with weights determined endogenously with proportion constraints. We obtain a score of social inclusion that allows us to grade the 27 EU countries from 2006 to 2010. In this way, we highlight the specific role played by the four indicators in determining improvements and deteriorations of social inclusion during the European phase of the financial and economic crisis.     

How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators

If estimates are based on samples, they should be accompanied by appropriate standard errors and confidence intervals. This is true for scientific research in general, and is even more important if estimates are used to inform and evaluate policy measures such as those aimed at attaining the Europe 2020 poverty reduction target. In this article I pay explicit attention to the calculation of standard errors and confidence intervals, with an application to the European Union Statistics on Income and Living Conditions (EU-SILC). The estimation of accurate standard errors requires among others good documentation and proper sample design variables in the dataset. However, this information is not always available. Therefore, I complement the existing documentation on the sample design of EU-SILC and test the effect on estimated standard errors of various simplifying assumptions with regard to the sample design. It is shown that accounting for clustering within households is of paramount importance. Although this results in many cases in a good approximation of the standard error, taking as much as possible account of the entire sample design generally leads to more accurate estimates, even if sample design variables are partially lacking. The effect is illustrated for the official Europe 2020 indicators of poverty and social exclusion and for all European countries included in the EU-SILC 2008 dataset. The findings are not only relevant for EU-SILC users, but also for users of other surveys on income and living conditions which lack accurate sample design variables.     

Nowcasting Indicators of Poverty Risk in the European Union: A Microsimulation Approach

The at-risk-of-poverty rate is one of the three indicators used for monitoring progress towards the Europe 2020 poverty and social exclusion reduction target. Timeliness of this indicator is critical for monitoring the effectiveness of policies. However, due to complicated nature of the European Union Statistics on Income and Living Conditions (EU-SILC) poverty risk estimates are published with a 2–3 years delay. This paper presents a method that can be used to estimate (“nowcast”) the current at-risk-of-poverty rate for the European Union (EU) countries based on EU-SILC microdata from a previous period. The EU tax-benefit microsimulation model EUROMOD is used for this purpose in combination with up to date macro-level statistics. The method is validated by using EU-SILC data for 2007 incomes to estimate at-risk-of-poverty rates for 2008–2012 and to compare the predictions with actual EU-SILC and other external statistics. The method is tested on eight EU countries which are among those experiencing the most volatile economic conditions within the period: Estonia, Greece, Spain, Italy, Latvia, Lithuania, Portugal and Romania.     

Measuring Active Citizenship through the Development of a Composite Indicator

This article defines Active Citizenship within a European context as a broad range of value based participation. It develops a framework for measuring this phenomenon which combines the four dimensions of Protest and Social Change, Community Life, Representative Democracy and Democratic values. The European Social Survey 2002 is used to populate the framework as this survey provided the best data coverage available and covered 19 European Countries. In total 61 indicators were selected. A composite indicator (CI), The Active Citizenship Composite Indicator (ACCI), is built using the framework provided and using experts’ weights. In addition, the robustness of the results is tested using sensitivity analysis. The limitations to the ACCI are explained in terms of the limitation of the data availability in particular concerning the new forms of participation and less organised forms of participation. Nevertheless, ACCI proved to be statistically robust and reliable and proved to be a useful tool for monitoring levels of citizenship in Europe. The results of ACCI exhibit interesting and quite distinct regional patterns. The results showed that the Nordic countries, and in particular Sweden, have the highest rate of Active Citizenship, followed by Central Europe and Anglo-Saxon countries. Mediterranean countries are next followed by Eastern European countries that close the ranking.

Can Reporting Heterogeneity Explain Differences in Depressive Symptoms Across Europe?

Depression is one of the leading causes of disability in the developed world. Previous studies have shown varying depression prevalence rates between European countries, and also within countries, between socioeconomic groups. However, it is unclear whether these differences reflect true variations in prevalence or whether they are attributable to systematic differences in reporting styles (reporting heterogeneity) between countries and socioeconomic groups. In this study, we examine the prevalence of three depressive symptoms (mood, sleeping and concentration problems) and their association with educational level in 10 European countries, and examine whether these differences can be explained by differences in reporting styles. We use data from the first and second waves of the COMPARE study, comprising a sub-sample of 9,409 adults aged 50 and over in 10 European countries covered by the Survey of Health, Ageing and Retirement in Europe. We first use ordered probit models to estimate differences in the prevalence of self-reported depressive symptoms by country and education. We then use hierarchical ordered probit models to assess differences controlling for reporting heterogeneity. We find that depressive symptoms are most prevalent in Mediterranean and Eastern European countries, whereas Sweden and Denmark have the lowest prevalence. Lower educational level is associated with higher prevalence of depressive symptoms in all European regions, but this association is weaker in Northern European countries, and strong in Eastern European countries. Reporting heterogeneity does not explain these cross-national differences. Likewise, differences in depressive symptoms by educational level remain and in some regions increase after controlling for reporting heterogeneity. Our findings suggest that variations in depressive symptoms in Europe are not attributable to differences in reporting styles, but are instead likely to result from variations in the causes of depressive symptoms between countries and educational groups.     

European Identity: An Analysis of Measurement Equivalence Across Countries and Mode of Data Collection in the European Values Survey 2017/2018

The study of European Identity has gradually become central to social sciences in the past decades. The enlargement of the European Union, as well as the economic crises from a decade ago called into question the very idea of Europe as a polity, the legitimacy of the European project and the homogeneity of the European culture. Although many analyses study European Identity, most research focuses on the definition and measurement of European Identity within the EU member states. Due to the interest in European Identity within EU borders on the one hand, and the lack of comparable data on the other, the European Identity of all Europeans is rarely explored. To address this gap, we investigate the common understanding of Europeanness among those living in Europe. We define European Identity as ethnic/cultural identity as opposed to civic identity and analyse the measurement equivalence of the scale tapping European ethnic/cultural identity fielded by European Values Survey in 2017 in 30 European countries. The results point out to a common understanding of Europeanness among those living in Europe, in ethnic terms, not in cultural ones. Methodologically, the analyses proved that the scale is suitable for cross-national comparisons among countries, but the comparability should be refrained to comparing means of the scale across countries. The mode of data collection does not impact on the comparability of the scale in four of the six countries that used mixed modes of data collection.

     

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.     

Measuring labour market segmentation for a comparative analysis among countries

This article raises one main question in a comparative analytical exercise between two countries in different continents, Spain and Argentina. To what extent does labour market segmentation generate similar dynamics of structuring of labour inequalities in two countries with different socio-economic contexts and social models, and which aspects are specific to each country? The article is the first an analytical work aimed at comparing European and Latin American countries from the theoretical perspective of labour market segmentation. We set two main objectives. The first was to construct an analysis model to study inequalities in the labour market in comparative terms between Europe and Latin America, taking as a reference Spain and Argentina. To this end, demand and supply variables were combined from an employment perspective. We sought to corroborate the general hypothesis that there is no single labour market that adjusts supply and demand, but that several segments can be expected to structure hierarchical positions in the labour market in line with specific labour supply profiles. We expected to obtain a high correspondence between the employment segments of the two countries, despite the contextual and socio-historical differences. The second objective was to propose a methodology to obtain two synthetic measures of labour market segmentation: first, a categorical measurement through a typology constructed from hierarchical positions and profiles using multivariate techniques (combining multiple correspondence factor analysis [MCA] and cluster analysis [CLA]); and second, a continuous measurement based on the results of factor analysis, resulting in a composite indicator of labour inequality.

     

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.     

An Assessment of EU 2020 Strategy: Too Far to Reach?

In 2010, EU adopted a new growth strategy which includes three growth priorities and five headline targets to be reached by 2020. The aim of this paper is to investigate the current performance of the EU member and candidate states in achieving these growth priorities and the overall strategy target by allocating the headline targets into the priorities and the priorities into the strategy by the use of a composite indicator methodology. The paper determines how far away each member and candidate state is from the targeted levels of the priorities and the strategy by making a distinction between EU 15 and relatively new member states as well. The developed composite indices enable the observation of the performances of the member and candidate states in a single indicator for the overall strategy and each growth priority. The results of the strategy index and three growth priority indices show that Nordic states possess the highest index scores already having reached many of the targets; many new member states performed as good as EU 15 and some EU 15 states are placed at the bottom of the ranking with quite poor performance in reaching the EU 2020 strategy.     

Youth Future Civic Participation in Europe: Differences Between the East and the Rest

European countries were economically and politically separated during the Cold War, but since its end processes of globalization and the formation of the European Union have contributed to blur the borders. Previous studies suggest that the social transformations have affected differently civic participation of youths, but shortage of more recent data has precluded researchers from examining the differences in a country-comparative fashion. Along these lines, this paper has two main objectives: to explore the differences in the levels of expected civic participation across Europe, and to evaluate the fit of a theoretical model of civic participation in regard to the different points in time their democracies were established. To achieve these goals, data from 22 European educational systems (9 post-communist and 13 established democracies) participating in the International Civic and Citizenship Study (2009) conducted by International Association for the Evaluation of Educational Achievement is used. The results, in accordance with the literature, suggest differentiated patterns of future civic participation between the new and established democracies, but they are not that clear, suggesting that convergence between the two groups is ongoing. However, the tested empirical model of civic participation functions in a better way in the established than in the new democracies. In contrast with previous findings, differences in levels of expected civic participation seem to be related not only with the countries’ experience with democracy, but also with their cultural similarities and common history.     

Two Is Best? The Persistence of a Two‐Child Family Ideal in Europe

How persistent and universal has the two child family ideal been in Europe during the last three decades? We analyze responses of women of reproductive age from 168 surveys conducted in 37 countries in 1979–2012. A two‐child ideal has become nearly universal among women in all parts of Europe. Countries that used to display higher ideal family size have converged over time toward a two‐child model. Six out of ten women in Europe consider two children as ideal, and this proportion is very similar in different regions. The mean ideal family size has become closely clustered around 2.2 in most countries. Gradual shifts can be documented toward more women expressing an ideal of having one child (and, quite rarely, having no children) and a parallel decline in an ideal of three or more children. An increasing number of European countries saw their mean ideal family size falling to relatively low levels around 1.95–2.15. However, with the exception of one survey for eastern Germany and two of the surveys not included in our study owing to high nonresponse or low sample size, none of the analyzed surveys suggests a decline in mean ideal family size to levels considerably below replacement, i.e., below 1.9 children per woman.     

Family policies in OECD countries: a comparative analysis

This article discusses the diversity of family policy models in 28 OECD countries in terms of the balance between their different objectives and the mix of instruments adopted to implement the policies. Cross-country policy differences are investigated by applying a principal component analysis to comprehensive country-level data from the OECD Family database covering variables such as parental leave conditions, childcare service provision, and financial support to families. The results find persistent differences in the family policy patterns embedded in different contexts of work-family "outcomes." Country classifications of family policy packages only partially corroborate categorizations in earlier studies, owing to considerable within-group heterogeneity and the presence of group outliers. The Nordic countries outdistance the others with comprehensive support to working parents with very young children. Anglo-Saxon countries provide much less support for working parents with very young children, and financial support is targeted on low-income and large families and focuses on preschool and early elementary education. Continental and Eastern European countries form a more heterogeneous group, while the support received by families in Southern Europe and in Asian countries is much lower in all its dimensions.