Multidimensional Analysis of Regional Inequality: The case of Hungary

Hungary has been in a transition process since the fall of the IronCurtain. This process has resulted in important developments in regionalpolicy. The introduction of a western style policy system seems,however, not to have affected regional inequality to any noticeableextent as measured by income per captia. There are still largedisparities between the richest counties and the remaining counties interms of this indicator. However, single indicator approaches toregional inequality have been criticised. Therefore in this paper weadopt a multidimensional approach to analyse regional inequality. Forthe counties of Hungary the multidimensionality of inequality is takeninto account by using a multiple of social and economic indicators thatare combined into a composite index. Theil's second measure ofmultidimensional inequality and principal component analysis are used toconstruct the composite index. The results thus obtained are used toidentify the least-favoured and the most-favoured regions. We find thatthere are substantial differences between the single indicator approachbased on per capita income and the multidimensional approach. Moreover,we argue that the EU Phare Programmes for Hungary have helped theeconomic development in developed regions situated on the EU border butat the same time have stimulated disparities within Hungary.     

Timely Indicators for Inequality and Poverty Using the Italian Labour Force Survey

Income distribution measures obtained from standard household income surveys are usually published with a significant delay, of about 2 years. In this paper we propose a methodology for obtaining timelier indicators using the Italian Labour Force Survey (ILFS), a database which collects detailed information not only on individuals’ labour market status, but also on their households and wages. We develop a framework to estimate household labour income and we use it to construct distributional indicators that are available 1 year and half before the standard measures. After discussing the limitations of our approach, we show that the ILFS-based indicators closely track those calculated on standard household income surveys. The suggested indicators are not meant to substitute standard income measures but can offer up-to-date information, with the aim of better monitoring the distributional impact of changing macroeconomic conditions.

     

Application of Different Techniques of Factor Analysis to Develop Neighborhood Social Capital Rating Scale

Composite indicators are widely used to determine the ranking of countries, organizations or individuals in terms of overall performance on multiple criteria. Their calculation requires standardization of the individual statistical criteria and aggregation of the standardized indicators. These operations introduce a potential propagation effect of extreme values on the calculation of the composite indicator of all entities. In this paper, we propose robust composite indicators for which this propagation effect is limited. The approach uses winsorization based on a robust estimate of the distribution of the sub-indicators. It is designed such that the winsorization affects only the composite indicator rank but has no effect on the entities ranking in each sub-indicator. The simulation study documents the benefits of distribution-based winsorization in the presence of outliers. It leads to a ranking that is closer to the clean data ranking when compared to the ranking obtained using either no winsorization or the traditional winsorization based on empirical quantiles. In the empirical application, we illustrate the use of winsorization for ranking countries based on the United Nations Industrial Development Organization’s Competitive Industrial Performance index. We show that even though the sub-indicator ranking does not change, the robust winsorization approach has a material impact on the ranking of the composite indicator for countries with large discrepancies in the scores of the sub-indicators.

     

Social Cohesion and the Labour Market: Societal Regimes of Civic Attitudes and Labour Market Regimes

The aim of this paper is to test the connections between the indicators used in the literature on social cohesion, which usually reflect ‘general’ values or behaviours, and indicators specific to a particular space, namely the labour market. A key question is the stability of the social cohesion’s indicators when moving from a societal level to the labour market. Based on data from the World Value Survey, and following a restrictive definition of social cohesion, a comparison is done, for European countries. Examination of the situation in the two spheres makes it possible to identify more or less homogeneous groups of countries and also to point to instabilities. ‘Regimes’ of social cohesion begin to emerge. As in most analyses, the Nordic countries (excluding Finland) have high scores in all the dimensions. Conversely, most of the new EU member states from the former Eastern bloc have low scores, particularly in the horizontal dimension of trust between individuals.     

Poverty in Ireland in Comparative European Perspective

In this paper we seek to put Irish poverty rates in a comparative European context. We do so in a context whereby the Irish economic boom and EU enlargement have led to increasing reservations being expressed regarding rates deriving from the EU ‘at risk of poverty’ indicator. Our comparative analysis reports findings for both overall levels of poverty and variation by household reference person characteristics for this indicator and a consistent poverty measure for Ireland, the UK and five smaller European countries spanning a range of welfare regimes. Our findings demonstrate that the distinctiveness of Ireland’s situation lies not in the overall levels of poverty per se but in the very high penalties associated with being in a household where the household reference person is a lone parent or excluded from the labour market.     

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.     

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.     

Ranking and Prioritization of Emergency Departments Based on Multi-indicator Systems

In this work we discuss how Emergency Departments (EDs) can be ranked on the basis of multiple indicators. This problem is of absolute relevance due to the increasing importance of EDs in regional healthcare systems and it is also complex as the number of indicators that have been proposed in the literature to measure ED performance is very high. Current literature faces this problem using synthetic (or numerically aggregated) indicators of a set of performance measures but, although simple, this solution has a number of drawbacks that make this choice inefficient: a compensation effect among the indicators; a high degree of subjectivism in the indicators weighting; opacity in the decision making; all the EDs are considered to be comparable. Indeed, the situations in which EDs are comparable (i.e. when all the performance of one ED are not lower than the performance indicators of the other) are a minority and incomparability is by itself a source of information that should be used to identify situations for which different policy actions should be designed. In this work we propose to use non compensatory composite indicators and partial ordering theory to rank and compare EDs giving value to the reasons of such an incomparability. These methods are applied on a case study of 19 EDs in an administrative region in Italy.     

Labour mobility and regional disparities: the role of female labour participation

Unemployment rates, as well as income per capita, differ vastly across the regions of Europe. Labour mobility can play a role in resolving regional disparities. This paper focuses on the questions of why labour mobility is low in the EU and how it is possible that it remains low. We explore whether changes in male and female labour participation act as an important alternative adjustment mechanism. We answer this question in the affirmative. We argue that female labour participation is very important in adjusting to regional disparities.

Modeling Local BES Indicators by Copula-Based Bayesian Networks

In Italy, the measure of the Equitable and Sustainable Well-being is provided by the Italian Institute of Statistics by means of a dashboard of basic and composite indicators. To investigate the dependence structure between the different domains of well-being, we propose the use of Non-Parametric Bayesian Networks based on the normal copula distribution, that allow to explore the conditional independence relationships between the composite indicators. The main advantage of the non-parametric models is that, as opposed to the parametric approach, they do not require any assumption on the marginal distributions of the variables. The proposed model is applied to the Equitable and Sustainable Well-being indicators measured at the provincial level and enriches the analysis of well-being by inspecting similarities and differences between Italian urban areas and territories.

     

The Importance of the Geographic Level of Analysis in the Assessment of the Quality of Life: The Case of Spain

There is a growing literature on the assessment of quality of life conditions in geographically and/or politically divided regions. Sometimes these territories are countries within a specified supranational structure, such as the European Union, for instance, and sometimes they are regions within countries. There is also some research that focuses on the municipal level of analysis, measuring the quality of life in cities. In the end what the researcher obtains is, at best, an average of the living conditions in the specified territory. However, if results are intended to have policy implications, attention should be paid to the variance in living conditions within regions. In this paper we attempt to quantify the relative importance of three different geographic levels of analysis in assessing the quality of life of the Spanish population. The geo-political division in Spain consists firstly of regions called Comunidades Autónomas, which are then divided into provinces which in turn are divided into municipalities. We are interested in evaluating the extent to which the quality of life conditions of an average person living in a given municipality are explained by the province and region in which the municipality is located. To do so, we first construct a composite indicator of quality of life (QoL) for the 643 largest municipalities of Spain using 19 variables which are weighted using Value Efficiency Analysis (VEA). VEA is a refinement of Data Envelopment Analysis (DEA) that imposes some consistency on the weights of the indicators used to construct the aggregate index. The indicators cover aspects related to consumption, social services, housing, transport, environment, labour market, health, culture and leisure, education and security. We then make a variance decomposition of the VEA scores to assess the importance of the three levels of geo-political administration. The results show that the municipal level is the most important of these, accounting for 52% of the variance in QoL. Regions explain 38% while provinces only account for a moderate 10%. Therefore, political action at the regional and municipal level would seem to have a larger impact on QoL indicators.     

A Multidimensional Approach to Measuring Quality of Employment (QoE) Deprivation in Six Central American Countries

This paper proposes a methodology for measuring Quality of Employment (QoE) deprivation from a multidimensional perspective in six Central American countries (Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama) using a dataset specifically designed to measure employment conditions. Building on previous work on multidimensional poverty and employment indicators, the paper uses the Alkire/Foster (AF) method to construct a synthetic indicator of the QoE at an individual level. It selects four dimensions that must be considered as essential to QoE deprivation: income, job stability, job security and employment conditions. These dimensions then subdivide into several indicators, a threshold for each indicator and dimension is established before defining an overall cut-off line that allows for the calculation of composite levels of deprivation. The results generated by this indicator show that Central American countries can be divided into three distinct and robust performance groups in terms of their QoE deprivation. Overall, approximately 60% of the deprivation levels are attributable to non-income variables, such as occupational status and job tenure. The methodology used can allow policymakers to identify and focus on the most vulnerable workers in a labour market and highlights the fact that having a formal written contract is no guarantee of good job quality, particularly in the case of women.

     

Does Culture Make a Better Citizen? Exploring the Relationship Between Cultural and Civic Participation in Italy

In the last decades, policy discussions have increasingly considered participation in arts and cultural activities as a vehicle to reach broader social policy goals, such as social inclusion or active citizenship. However, convincing empirical evidence on the social impacts of arts and culture is still scarce. In particular, little attention has been given to the impact that cultural participation may have on individuals’ engagement in civil society, especially in Europe. In order to address this lack of evidence, this paper explores the connection between cultural participation and civic participation in Italy using Likert-scale data collected in the ISTAT “Aspetti della Vita Quotidiana” Survey (2014). To do so, two composite indicators—the participation in cultural life indicator and the participation in civic life indicator—have been built using an approach based on partial order theory and the concept of Average Rank. The effect of cultural participation on civic engagement has been estimated using a quantile regression model which controls for potentially cofounding factors such as education, income, age and gender. Results do confirm that participation in arts and cultural activities is highly correlated with participation in civic life. It is particularly worth noticing that at higher levels of civic participation, cultural participation has a positive and strong effect on civic engagement of people having a low educational level.

     

Evaluation of a regional midwifery caseload model of care integrated across five birthing sites in South Australia: Women’s experiences and birth outcomes

IntroductionThe ongoing closure of regional maternity services in Australia has significant consequences for women and communities. In South Australia, a regional midwifery model of care servicing five birthing sites was piloted with the aim of bringing sustainable birthing services to the area. An independent evaluation was undertaken. This paper reports on women’s experiences and birth outcomes.AimTo evaluate the effectiveness, acceptability, continuity of care and birth outcomes of women utilising the new midwifery model of care.MethodAn anonymous questionnaire incorporating validated surveys and key questions from the Quality Maternal and Newborn Care (QMNC) Framework was used to assess care across the antenatal, intrapartum and postnatal period. Selected key labour and birth outcome indicators as reported by the sites to government perinatal data collections were included.FindingsThe response rate was 52.6% (205/390). Women were overwhelmingly positive about the care they received during pregnancy, birth and the postnatal period. About half of women had caseload midwives as their main antenatal care provider; the other half experienced shared care with local general practitioners and caseload midwives. Most women (81.4%) had a known midwife at their birth. Women averaged 4 post-natal home visits with their midwife and 77.5% were breastfeeding at 6–8 weeks. Ninety-five percent of women would seek this model again and recommend it to a friend. Maternity indicators demonstrated a lower induction rate compared to state averages, a high primiparous normal birth rate (73.8%) and good clinical outcomes.ConclusionThis innovative model of care was embraced by women in regional SA and labour and birth outcomes were good as compared with state-wide indicators.     

What’s in a Pronoun?: The Ungovernability and Misgendering of Trans Native Kids in Juvenile Justice in Washington State

ABSTRACT

Recognition of transgender identities and best practices in care for trans youth in juvenile justice settings have been gaining increased visibility. However, in interviews with juvenile justice defense attorneys, I have found that even attorneys who want to be supportive and affirming of transgender youth struggle with consistently affirming the youth’s pronouns, especially in the case of Native trans youth. In this article, I will explore the ways that systems of “justice” are not set up to recognize transgender and Native youth correctly, because the goal is always to make Native youth invisible/assimilated and to make trans youth normative. For a transgender Native kid, even the best intentions of people working within this system are not going to be enough to overcome these systemic goals of settler colonial justice systems. This article highlights the limits of the U.S. juvenile justice system and argues for a turn to two-spirit critiques to fundamentally change the justice system for transgender Native youth.     

Mobile moratorium? The case of young people undertaking international internships

ABSTRACT

This article explores a significant yet curiously understudied form of transnational mobility as practiced by the highly qualified in Europe, namely the international internship. We argue that an international internship can be an ambivalent stage within youth transitions. While possibly providing a potential point of entry into a ‘dream’ career path, the economic and emotional costs of such undertakings also need to be accounted for, including an offsetting of professional stability and deferred rather than accelerated labour market entry. At the same time, international internships have the appearance of a response to a need for personal development and exploration. Taking on board these perspectives, we suggest that the international internship be considered a form of ‘mobile moratorium’, expanding on the possibilities associated with this conceptualisation. For young people in the European Union, this type of exchange also provides a means to engage in intra-European circulation while simultaneously pursuing personalized success. We investigate this proposition through analysis of data collected via an online survey, providing illustrations of what the international internship experience means for professional development and personal exploration.     

Composite Indicators between Analysis and Advocacy

We explore to what extent composite indicators, capable of aggregating multi-dimensional processes into simplified, stylised concepts, are up to the task of underpinning the development of data-based narratives for political advocacy. A recent OECD working paper (Nardo et al., 2005, Handbook on constructing composite indicators: methodology and user guide, OECD statistics working paper, STD/DOC(2005)3) offering ‘recommended practices’ for the construction of composite indicators is briefly illustrated, together with ‘pros’ and ‘cons’ associated with the use of aggregated statistical information. An attempt is made to summarise the terms of the controversy surrounding the use of composite indicators with practical and applied examples, as well as the mostly advocacy-driven spread of these measures in recent years. As an example, we focus on desirable narratives in support of the so-called Lisbon strategy and its ongoing revision, following one of the recommendations of a recent EU study [Kok: 2004, The High Level Group on Lisbon Strategy chaired by Wim Kok, Facing the Challenge, European Communities, Luxembourg, 2004 on how to streamline and reinvigorate the EU’s Lisbon Agenda. Finally we try to establish a link between the use of composite, even for analytic purposes, and the development of a robust culture of evaluation of policies based on information [Messerlin: 2005, 35th Wincott Lecture, October 3, 2005]. Of these, we try to offer stylised examples – also from the recent literature [Sapir: 2005, Globalisation and the Reform of European Social Models, 2005, http://www.bruegel.org/] where composite indicators are used.     

The labour division of Italian couples after a birth: assessing the effect of unobserved heterogeneity

The results of previous studies on the effect of childbearing on both parents’ paid and unpaid work suffer from the difficulty related to the specification of latent variables that influence the relationship between reproductive behaviour of the couple and working activity. The aim of this study is to estimate the effect of transition to parenthood on the partners’ division of labour by accounting for latent variables, such as the bargaining process between partners and endogenous fertility decisions. In particular, this is the first time that our specific estimation strategy has been applied to determine the impact of childbearing on the division of household labour between partners taking into account the reverse causality effect between labour and fertility decisions. We use longitudinal data on married or cohabiting Italian couples provided by the Italian panel survey of the Generation and Gender Program. Our results are consistent with previous studies, and show that the birth of a child affects a woman’s unpaid labour strongly and positively and her paid labour negatively, while men’s work is mostly unaffected. Moreover, when partners hold traditional attitudes regarding gender roles and the family, the female partner is even more strongly affected by childbearing in terms of total amount of labour (paid plus unpaid). However, our sensitivity analysis shows that these results appear only when our correction strategy for the misspecification of latent variables is applied.

     

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.

     

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.