Multidimensional Measurement of Poverty Among Women in Sub-Saharan Africa

Since the seminal work of Sen, poverty has been recognized as a multidimensional phenomenon. The recent availability of relevant databases renewed the interest in this approach. This paper estimates multidimensional poverty among women in fourteen Sub-Saharan African countries using the Alkire and Foster multidimensional poverty measures, whose identification method is based on a counting approach. Four dimensions are considered: assets, health, schooling and empowerment. The results show important differences in poverty among the countries of the sample. The multidimensional poverty estimates are compared with some alternative measures such as the Human Development Index, income poverty, asset poverty and the Gender-related Development Index. It is found that including additional dimensions into the analysis leads to country rankings different from those obtained with the mentioned four measures. Decompositions by geographical area and dimension indicate that rural areas are significantly poorer than urban ones and that a lack of schooling is, in general, the highest contributor to poverty. The paper also conducts robustness and sensitivity analyses of the multidimensional estimates with respect to the number of dimensions in which deprivation is required in order to be considered poor, as well as to the poverty lines within each dimension. Several cases of dominance between countries are found in the first robustness test.     

The Italian Regional Well-Being in a Multi-expert Non-additive Perspective

This paper designs a multidimensional index of well-being for 20 Italian regions, based on a set of 41 indicators organized in an original hierarchical structure, a decision-tree whose four main pillars are Economy, Society, Environment and Health. Our novel approach combines the objective dimension of the evaluation (a comprehensive set of statistical indicators) within a flexible non-additive aggregation model (the Choquet integral) characterized with the preferences of informed Italian stakeholders. Adopting the Choquet integral allows us to overcome the well-known limitations embedded in the linear models, by assigning a weight (capacity) to any coalitions of dimensions, and by allowing a different degree of substitutability within each decision node in the tree. The weights and the parameters for the aggregation are elicited through a computer-based nominal group technique, a method which reduces the occurrences of drastically dissenting valuations and the potential expert-selection bias. Our results show that experts’ perception of synergies and redundancies is quite heterogeneous between levels and nodes in the tree. Moreover, well-being measures are much influenced by the degree of substitutability embedded in the experts’ preferences. Overall, the Italian picture looks more heterogeneous when analysed through the Choquet integral, with respect to a linear model.     

Implementing a Multidimensional Poverty Measure Using Mixed Methods and a Participatory Framework

Recently, there have been advances in the development of multidimensional poverty measures. Work is needed however on how to implement such measures. This paper deals with the process of selecting dimensions and setting weights in multidimensional poverty measurement using qualitative and quantitative methods in a participatory framework. We estimate the multidimensional poverty measures developed by Alkire and Foster for a particular group: persons with psychiatric diagnoses in the United States. To select relevant dimensions and their relative ordering, two discussion groups are convened: one consisting of persons with lived-experience expertise and the other consisting of people with mental health service provision or research expertise. Several methods are used to convert dimension rankings into weights. The selection and ordering of dimensions differed between the two discussion groups, as did the resulting poverty measures. For instance, the poverty headcount using the dimensions and weights of the ‘lived experience’ group ranged from 20.61 to 26.96% as compared to a range of 18.62–33.19% using those of the ‘provider/researcher’ group. One of the main results of this study is that the Alkire Foster method is sensitive to the selection of dimensions and the methods used to derive rankings and weights. It points toward the limitation of relying exclusively on small scale qualitative methods for the selection and ranking of dimensions. In addition, the participatory framework used in this study was found to be essential in interpreting results, in particular with respect to the limitations of the data set in measuring relevant dimensions.     

Welfare State Development in Latin America and the Caribbean (1970s–2000s): Multidimensional Welfare Index,Its Methodology and Results

There is an ongoing debate between focalization and universalization on welfare policies as the best way to develop the welfare state in Latin America and the Caribbean. However, there is a need to develop a measure that exhibits the multidimensional nature of the welfare state, instead of focusing on the social spending dimension. Segura-Ubiergo (The political economy of the welfare state in Latin America: globalization, democracy and development. Cambridge University Press, New York, 2007) constructed a welfare effort index (WEI) to facilitate understand the relative degrees of welfare state development among Latin American countries. The WEI focuses mainly on social spending and ignores the other dimensions of welfare. Based on a comparative analysis of 17 Latin American countries and following the methodology of Segura-Ubiergo, a new index that aims at enriching the WEI was constructed. The new index is multidimensional in that it has eight indicators relating to three dimensions of welfare: social spending, coverage of welfare programs and outcome of welfare institutions. Principal component analysis was used for reducing the indicators into three indexes that represent three proposed dimensions of welfare. The combination of these three indexes gives the multidimensional welfare index. The results of the index account for more than 75 % of the data variance.     

Social Capital: Does it Add to the Health Inequalities Debate?

The aim of this study is to assess the effective measurement range of Ryff’s Psychological Well-being scales (PWB). It applies normal ogive item response theory (IRT) methodology using factor analysis procedures for ordinal data based on a limited information estimation approach. The data come from a sample of 1,179 women participating in a midlife follow-up of a national birth cohort study in the UK. The PWB scales incorporate six dimensions: autonomy, positive relations with others, environmental mastery, personal growth, purpose in life and self-acceptance. Scale information functions were calculated to derive standard errors of measurement for estimated scores on each dimension. Construct variance was distinguished from method variance by inclusion of method factors from item wording (positive versus negative). Our IRT analysis revealed that the PWB measures well-being most accurately in the middle range of the score distribution, i.e. for women with average well-being. Score precision diminished at higher levels of well-being, and low well-being was measured more reliably than high well-being. A second-order well-being factor loaded by four of the dimensions achieved higher measurement precision and greater score accuracy across a wider range than any individual dimension. Future development of well-being scales should be designed to include items that are able to discriminate at high levels of well-being.     

The Development of Official Social Statistics in Italy with a Life Quality Approach

The article covers the main steps of official statistics in the second half of the Nineties through the illustration of the transition from economic oriented official statistics to the quality of life approach. The system of the Multipurpose Surveys introduced in 1993 to give an answer to questions at social level and to provide indicators for social policies, has been developed with a quality of life approach that combines the objective dimension to the subjective one. All dimensions of the social sphere have been analyzed with this approach: health, crime, leisure, work, poverty and deprivation. Sometimes the subjective questions were proxy of the objective situation, such as health and sometimes subjective aspects complemented the objective as in the case of crime and poverty. The history of the Italian official statistics is an example of how it is possible to realize a qualitative leap in social statistics integrating the objective and the subjective dimension.     

Measurement Assessment in Cross-Country Comparative Analysis: Rasch Modelling on a Measure of Institutional Quality

This paper uses recent multidimensional well-being measurements to examine multidimensional well-being and inequality across the European regions in 2000 and 2014 with the use of eleven well-being indicators from the OECD Better Life Index. We use generalized mean aggregation method with alternative parameters to allow different substitutability and complementarity levels between well-being dimensions, which range between perfect substitutability and some degree of complementarity between the dimensions, to examine well-being and inequality across the European regions. Accounting for the interactions between the well-being dimensions matters for the multidimensional well-being and inequality across the European regions. The results show that the multidimensional well-being across the European regions are relatively lower when the dimensions are more seen as complements compared to the case when they are considered to be perfect substitutes. Furthermore, there is also a higher degree of multidimensional inequality across the European regions when the dimensions are considered to have some complementarity. Changes in well-being dimensions between 2000 and 2014 indicates that multidimensional well-being improved and inequality decreased in the personal and community well-being categories, but remained unchanged in material well-being category across the European regions irrespective of interaction levels between well-being dimensions. Policy implications of these multidimensional well-being indices are also evaluated by using these indices to determine the eligible regions for the European Union structural funds where the number eligible regions shows some variation depending on whether the dimensions are perfect substitutes or more of complements.

     

Uneven dynamics and regional disparity of multidimensional poverty in China

Qualifying the official minimum of “Two no worries and three guarantees” (certainty of food and clothing, guarantees of compulsory education, basic medical care, and housing) is essential to evaluate the targeted poverty alleviation program since 2013 in China. Using the poverty monitoring dataset and the multidimensional poverty indicator system, the uneven dynamics and regional disparity of multidimensional poverty and its driving factors in poverty-stricken areas in China during 2014–2018 are explored in this paper. The incidence rate of multidimensional poverty was reduced by 61.72%, and the poverty reduction rate within the six dimensions ranged from 52.29 to 76.36%. Multidimensional poverty and its six dimensions displayed narrowing regional disparity. Impoverished and moderately poor areas shrank, whereas low-poverty areas expanded. All 22 provinces have become low-poverty areas in 2018. The contribution of each dimension to multidimensional poverty varies for different types at different stages. Income and expenditure contribute the most to poverty status, followed by transportation, housing conditions, education, communication, and medical care and health. The contribution of each indicator among different dimensions varied with different trends from 2014 to2018. This paper helps incorporate the official minimums of “Two no worries and three guarantees” into a more operational evaluation system to promote sustainable policies for governments at all levels by 2020 and beyond, as well as provide valuable references for poverty alleviation in other developing countries worldwide.

     

On the Predictive Effect of Multidimensional Importance-Weighted Quality of Life Scores on Overall Subjective Well-Being

This study aimed to examine the effectiveness of importance weighting in predicting outcome variables in a hierarchical and multidimensional measurement context. A total of 146 undergraduate students (female = 76; mean age = 20.25) from two universities in Taiwan and China participated in this study. They evaluated their quality of life on 22 facets from the WHOQOL-BREF scale, which covers four domains (i.e., physical health, psychological health, social relationships, and environmental health). They were also asked to rate the importance of these 22 facets and items for three general subjective well-being indices, including overall quality of life, general health, and life satisfaction. A multiplicative formula was used to create importance-weighted scores for each facet, and four domain scores were obtained by averaging facet scores under specific domains. Results of regression analysis revealed that after applying the weighting procedure, the four domain scores did not account for more variances in the three indices for overall subjective well-being, and predictive effects of the four domain scores became less differential. Our findings suggest that importance weighting did not have its expected benefits but instead may negatively impact the predictive effects.     

Measuring Dimensions of Perceived Discrimination in Five Stigmatized Groups

The purpose of this investigation was to design and validate a multidimensional scale with the potential to measure perceived discrimination in different stigmatized groups. The study was carried out in Spain with a sample of 1,016 participants belonging to five stigmatized groups: Latin American immigrants, Romanian immigrants, people with HIV, gays and lesbians. Confirmatory factor analysis validated the existence of four dimensions in the scale: blatant group discrimination, subtle group discrimination, blatant individual discrimination, and subtle individual discrimination. In accordance with the literature, the scale presents positive relations with the stigma consciousness scale (Pinel in J Pers Soc Psychol 76:114–128, 1999) and negative relations with two measures of psychological well-being, affect balance and self-acceptance. Likewise, the results indicate that the perception of subtle individual discrimination is more negatively associated with participants’ psychological well-being.     

„In Freud und Leid,in guten wie in bösen Tagen“

This article raises the question how elderly female caregivers experience their double role as partners and caregivers. To answer this question a multidimensional role model has been developed and applied. This novel approach examines the subjective burden of spousal caregivers, considering individual and social dimensions. Results of a qualitative study show role expectations, strategies of role playing and role management as well as role-conflicts of female spousal caregivers. The study underlines the analytic potential of sociological role-theory for the examination of concrete empirical problems and critically discusses the applicability of theoretical role-concepts for applied research.     

Social Capital in Association with Socioeconomic Variables in Iran

The objective of this study was to determine the various dimensions of social capital in Tehran and its association with socioeconomic variables. Two thousand, four hundred and eighty-four persons participated in the study through multi-stage stratified sampling in Tehran. The study questions were extracted from the World Bank integrated questionnaire. While respondents obtained over 50 % of the attainable scores in the ‘trust’, ‘cooperation’, ‘social cohesion’, and ‘political action’ dimensions, they obtained only 18.9 % of the attainable scores in the ‘networks’ dimension. The respondents in age groups older than 45 had higher trust scores than respondents in the 18–25 age group. Men had higher ‘network’ and ‘social cohesion’ scores than women (p ≤ 0.001). Respondents in the poorest wealth quintile had lower ‘networks’ and ‘social cohesion’ scores than the richest group and ‘political action’ scores higher than the richest group (p = 0.038). The lowest score in ‘Tehranians’ social capital was in the groups and networks dimension. Therefore designing effective interventions for such activities, particularly in women’s groups, is a priority.     

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

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

Exploring Multidimensional Well-Being in Switzerland: Comparing Three Synthesizing Approaches

Well-being is increasingly conceptualized and measured from a multidimensional perspective in order to provide policy makers and the general public with the necessary tools for monitoring social change. Synthetic measures of multidimensional concepts such as well-being are, therefore, needed. This paper provides a systematic comparison of three methodological approaches applicable in a top-down perspective to construct a synthetic multidimensional measure of well-being using the same theoretical framework and the same data. The three methodologies used are the confirmatory factor analysis, the Alkire and Foster counting approach and the posetic approach. The first two methodologies belong to the family of composite indicators, the most common way to synthetize multidimensional information. The third was developed in order to deal with the construction of composite indicators’ two major issues, namely weighting and aggregating. The main contribution of this paper is methodological; it aims at discussing the advantages and drawbacks of the three methodologies, and at identifying their similarities and specificities.     

Satisfaction Ratings of QOLPAV: Psychometric Properties Based on the Graded Response Model

A scale measuring quality of life (QOL) is important in adolescent research. Using the graded response model (GRM), this study evaluates the psychometric properties of the satisfaction ratings of the Quality of Life Profile Adolescent Version (QOLPAV). Data for 1,392 adolescents were used to check IRT assumptions such as unidimensionality and local item dependence (LID). The goodness of fit of the GRM to the data and the item characteristic curves were evaluated. The reliability and validity analyses included item/test information, Cronbach’s α, and convergent and discriminant validity. Differential item functioning (DIF) procedures were also performed to detect item bias. The results provide evidence that the items sufficiently measured one single dimension. Few pairs of questions were flagged as LID due to content or wording similarity. Five items did not fit the GRM, and 4 were low in item discrimination. The findings also suggest that the assessment had appropriate reliability and validity. The DIF impact on the assessment score was considered minor. Because QOLPAV includes a respondent’s perceived importance of various life aspects, a short form that only considers important life aspects in the overall QOL estimation for each respondent becomes feasible within the framework of IRT. Future studies focusing on the development of a QOL overall index using the items from QOLPAV are recommended.     

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.     

Health,Wealth and Wisdom: Exploring Multidimensional Inequality in a Developing Country

Despite a broad theoretical literature on multidimensional inequality and a widespread belief that welfare is not synonymous to income—not the least in a developing context—empirical inequality examinations rarely includes several welfare attributes. We explore three techniques on how to evaluate multidimensional inequality using Zambian household data on consumption, education, health and land. The examination indicates that level and changes in non-monetary inequality are at odds with consumption inequality. Moreover, assessment of a multidimensional index shows evidence of that dimensions of wellbeing compensate and reinforce each other with respect to inequality. However, a majority of the results using this technique are sensitive to the degree of substitution between attributes. In applying a stochastic dominance method few combinations fulfill the required dominance conditions. Accordingly, less imposed structure come at a cost. Clearly, sensitivity analyzes, explicitness and analyzes involving more than one technique are constructive in portraying multidimensional inequality.     

Measuring fertility demand

We propose a multidimensional conceptualization of fertility demand and evaluate potential measures of each dimension, using data from a telephone survey of Wisconsin residents age 18-34. Most of the measures met tests for interval-level measurement; all produced high estimates of test-retest reliability. We found support for only two dimensions of demand, intensity and certainty; potential measures of centrality had relatively low associations with any of the latent dimensions. Demand certainty improved prediction of fertility expectations beyond a trichotomous (yes, no, don’t know) measure, but demand intensity did not. We found mixed evidence for the conceptualization of fertility demand as a single continuum on which desire to avoid pregnancy is the opposite of desire to have a child.     

Cross Cultural Application of the WHOQOL-SRPB in the Chinese Community with Diverse Spiritual Affiliations

In order to contribute to providing a methodology to ensure objectivity and transparency in the measurement of multidimensional poverty, this paper proposes a new threshold for the identification of the multidimensional poor which is also applicable to each of the dimensions of poverty, suitable for identifying the severely poor in developed countries. This new methodology is applied to analyse the evolution of material deprivation in Spain during the period of economic crisis, comparing the results with those obtained using other traditional approaches.