Labor force composition and underemployment trends, 1969–1980

Underemployment indicators are both ‘objective’ indicators of individual well-being and social welfare and ‘normative’ indicators for programmatic use. Components of an underemployment indicator framework, the Labor Utilization Framework (LUF), are operationally defined and shown to be closely related to a family of proposed alternatives. Using CPS data, a 12-year time series of LUF indicators is developed for the U.S. labor force and its key subgroups. The across-time heterogeneity of the labor force is analyzed in relation to a ‘basic’ demographic group-by-LUF-by-time contingency, showing how the complexity of labor force structure that emerges from a multi-state indicator of underemployment can be rigorously modeled. Standard loglinear models, which focus on the temporal aspects of data from repeated cross-sectional surveys, provide the analytic technique. Changes in the demographic composition of the labor force account for about 30% of the overall period variability, and age structure has made the most important contribution to the compositional change.     

Indicators of gender equality for American states and regions

The indicators described in this paper are measures of status equality (as compared to measures of status attainment). Status equality was operationalized by expressing the status attainment scores for women as a percentage of the scores for men. Indicators of equality in the economic, political, and legal spheres of life were computed for each of the 50 U.S. states. The indicators were combined to create an overall Gender Equality Index and a subscale for each of the three spheres. Analyses of internal consistency reliability and construct validity are presented. Large state-to-state and regional differences were found for all three spheres. In respect to the overall Gender Equality Index the scores ranged from a low of 19 (i.e. 19% of what is needed for equality with men) to a high of only 60%.Paper presented at the 1986 meeting of the American Sociological Association. The research reported in this paper is part of the State and Regional Indicators Archive (SRIA). A bibliography listing papers and books of the SRIA is available from the Family Research Laboratory, University of New Hampshire, 128 Horton Social Science Center, Durham, NH 03824.     

Inequality at work: Race,sex and underemployment

New indicators of underemployment are presented for whites, blacks, Mexican Americans and Puerto Ricans by sex. The indicators are based on hours worked, education, skill utilization, and pay. Data from the 1980 Current Population Survey are supplemented with Dictionary of Occupational Titles information to construct the indicators. Whites consistently have the lowest underemployment, and comparison across groups reveals the different types of employment problems faced by minorities and women. These indicators of underemployment are compared with those from a different conceptual approach (the Labor Utilization Framework) using the same survey data. The advantages of the new indicators are discussed.     

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.     

Spatial Disaggregation of Social Indicators: An Info-Metrics Approach

In this paper we propose a methodology to obtain social indicators at a detailed spatial scale by combining the information contained in census and sample surveys. Similarly to previous proposals, the method proposed here estimates a model at the sample level to later project it to the census scale. The main novelties of the technique presented are that (i) the small-scale mapping produced is perfectly consistent with the aggregates -regional or national- observed in the sample, and (ii) it does not require imposing strong distributional assumptions. The methodology suggested here follows the basics presented on Golan (2018) by adapting a cross-moment constrained Generalized Maximum Entropy (GME) estimator to the spatial disaggregation problem. This procedure is compared with the equivalent methodology of Tarozzi and Deaton (2009) by means of numerical experiments, providing a comparatively better performance. Additionally, the practical implementation of the methodology proposed is illustrated by estimating poverty rates for small areas for the region of Andalusia (Spain).

     

Explaining cross-national differences in marriage, cohabitation, and divorce in Europe, 1990-2000

European countries differ considerably in their marriage patterns. The study presented in this paper describes these differences for the 1990s and attempts to explain them from a macro-level perspective. We find that different indicators of marriage (i.e., marriage rate, age at marriage, divorce rate, and prevalence of unmarried cohabitation) cannot be seen as indicators of an underlying concept such as the 'strength of marriage'. Multivariate ordinary least squares (OLS) regression analyses are estimated with countries as units and panel regression models are estimated in which annual time series for multiple countries are pooled. Using these models, we find that popular explanations of trends in the indicators - explanations that focus on gender roles, secularization, unemployment, and educational expansion - are also important for understanding differences among countries. We also find evidence for the role of historical continuity and societal disintegration in understanding cross-national differences.     

On the measurement of certain aspects of social development

An attempt has been made in this paper to measure social development. There has been some limited use of per capita national income as a measure of development. A number of social indicators from various societal areas may, alternatively, better represent social development of a region. A composite index of selected social indicators has been proposed as a measure of social development. Certain existing methods of construction of composite indexes have been examined and new methods proposed using the variance-covariance matrix and intercorrelation matrix of the indicators and the concept of (Euclidean) distance. Two examples of intertemporal and international comparisons have been presented to illustrate the proposed methods.The author is grateful to Prof. M. Mukherjee under whose supervision and guidance this work was carried out. However, the views expressed in this paper are those of the author and not of the institution to which he belongs.     

Indicators of Social Isolation: A Comparison Based on Survey Data from Germany

The paper presents a data-based comparison of three indicators of social isolation that are frequently used in contemporary social research: (a) low frequency of social contact with friends, relatives, and neighbors (social contact indicator); (b) absence of a discussion network (discussion network indicator); (c) absence of social support (support indicator). All three indicators are in line with an understanding of social isolation as the absence of close personal relationships. However, as shown in this paper, they are correlated only weakly to each other and lead to different results concerning the overall share of social isolation, age disparities, and gender differences of social isolation. Against this background, the paper proceeds with considerations on the content validity and criterion validity of the three indicators. Different versions of each indicator are scrutinized to gain insights on content validity. Conclusions on criterion validity are drawn from an examination of the correlations between the indicators and health, poverty, satisfaction with family life, and satisfaction with social life. Findings suggest a higher validity of the social contact indicator compared to the other two indicators. Data source is the German Socio-Economic Panel. Discussions of content validity are additionally based on analyses using the German Family Survey and the German Aging Survey.     

Sustainability Evaluation Frameworks and Alternative Analytical Scenarios of National Economies

In this article a macro-oriented conceptual framework of the conditions necessary for the advancement of sustainability within an economy and society is formulated and analysed. The theoretical framework presented is a set of logical identities, which define relationships between the total environmental stress (TES) and the basic indicators of economic, technological and social development. The framework, called the Total Environmental Stress Approach, provides necessary but not sufficient conditions for advancing sustainability. Scenario alternatives utilizing the TES approach with data from Finland are presented to evaluate the theoretical framework.     

A Happy Nation? Opportunities and Challenges of Using Subjective Indicators in Policymaking

This article seeks to combine decades of academic research with emerging policy demands by systematically assessing the state of the knowledge on using subjective indicators in public policy. In particular, it outlines opportunities that arise from a new focus on subjective information as a basis for policy decisions and challenges that ought to be overcome. The paper presents pros and cons of using subjective (versus objective) indicators, and it discusses six ways in which information on citizens’ subjective well-being (SWB) can advance the policymaking process: Monitoring progress, informing policy design, policy appraisal, examining the divergence of objective and subjective quality of life, ranking public institutions and allocating resources, as well as informing development strategies and goals. In doing so, best practice examples are presented and put in context. Finally, subjective measures “beyond SWB” are discussed and a new measure for the overall satisfaction with society is suggested. The next frontier for research and practice will be to build on the potential outlined here and to address the deficits in order make the most out of subjective indicators and the unique value they can add to the policymaking process.     

What Defines Quality of Life? The Gap Between Public Policies and Locally Defined Indicators Among Residents of Kodagu, Karnataka (India)

Improving quality of life (QoL) is one of the main goals of many public policies. A useful tool to measure QoL needs to get a good balance between indicators guided by theories (top-down approach) and indicators defined by local people (bottom-up approach). However, QoL measurement tools often neglect to include elements that define the standard of living at local level. In this paper, we analyse the correspondence between human development index, as an indicator adopted by governments to assess QoL, and the elements defined by local people as important in their QoL, called here local means. Using a free-listing technique, we collected information from 114 individuals from Kodagu, Kartanataka (India), to capture local means defining QoL. We then compared local means with the indicators used by Human development report (HDR) of Karnataka, the main measurement tool of QoL in Kodagu. The list of local means included access to basic facilities and many issues related to agriculture and natural resources management as elements locally defining QoL. We also found that HDR does not capture the means defined by people as indicators of QoL. Our findings suggest an important gap between current QoL’s indicators considered by public policies and the means of QoL defined by people. Our study provides insights for a set of plausible local indicators useful to achieve a balance between top-down and bottom-up approaches for the local public policies.     

MEASURING HUMAN WELLNESS

A conceptual framework is presented as a means to organize the many measures of human wellness that are now available. Health and human wellness are now often used interchangeably and there has been considerable augmentation of the indicators of progress – in addition to traditional indicators such as life expectancy and mortality rates, there is now an ability to use more positive indicators such as self-related health and self-esteem.     

The quality of life in large American cities: Objective and subjective social indicators

The concept of ‘quality of life’ as a tool of comparative social indicators research is analyzed. Inter-city comparisons of objective and subjective measures of well being are presented and the distinctiveness of these two dimensions of the quality of life is documented. The paper concludes with some observations on the implications that this distinctiveness has for the use of the concept ‘quality of life’ in future social indicators research.     

Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices

Most of the socio-economic phenomena such as development, well-being, and quality of life have a multidimensional nature and require the definition of a set of individual indicators to be properly assessed. Often, individual indicators are summarized and a composite index is created. One of the main problems in constructing composite indices is the choice of a method which allows time comparisons. In this paper, we consider the Adjusted Mazziotta–Pareto Index, a non-compensatory composite index used by the Italian National Institute of Statistics for measuring “Equitable and Sustainable Well-being” in Italy. An empirical comparison with some traditional non-compensatory indices is presented and an Influence Analysis is, for the first time, performed in order to assess the robustness of the index.     

Testing the Comparability of Different Types of Social Indicators Across Groups

The social indicator movement has realized a considerable increase in importance during the last 50 years. This happened not the least by the publications in the journal Social Indicators Research. Social indicators have been developed for many aspects of life. The scores on these indicators often are compared through time and across groups. An essential requirement for such research is that the measures used are comparable through time and across groups. The comparability through time is not such a big problem but the comparability of measures across groups is not so obvious. This requires harmonization of indicators based on objective variables and invariance testing for indicators based on subjective and objective variables. In this paper we discuss how the comparability of different types of social indicators based on subjective and objective variables can be tested using invariance testing. This is a relevant issue because the existing testing procedure is designed for only one type of social indicators and this test is not directly applicable on the other types of social indicators.     

Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns

With the proliferation of social indicator databases, the need for powerful techniques to study patterns of change has grown. In this paper, the utility of spatial data analytical methods such as exploratory spatial data analysis (ESDA) is suggested as a means to leverage the information contained in social indicator databases. The principles underlying ESDA are illustrated using a study of clusters and outliers based on data for a child risk scale computed for countries in the state of Virginia. Evidence of spatial clusters of high child risks is obtained along the Southern region of Virginia. The utility of spatial methods for state agencies in monitoring social indicators at various localities is discussed. A six-step framework that integrates spatial analysis of key indicators within a monitoring framework is presented; we argue that such a framework could be useful in enhancing communication between State and local planners. Given cost considerations, the original color figures have been printed in black and white in this article. The color figures can be obtained from http://www.chs.med.ed.ac.uk/rubhc/evaluation/     

Social indicators of living conditions in Ireland with European comparisons

This monograph presents data from a nationwide survey of social indicators of living conditions in Ireland. This survey was part of a European Community (EC)-harmonised survey of subjective social indicators carried out in eight EC countries. The survey, the first of two, focussed on people's perceptions of their health, health services, housing, neighbourhood and life in general. Extensive analysis is made of the demographic determinants of a wide range of subjective measures of well-being in all of these life domains. Examination is also made of the predictors of global measures of well-being. Data are presented for Ireland and multi-nation comparative data are also presented throughout. Emphasis is placed on the relationship between objective and subjective social indicators.     

Social indicators of youth development and educational performance: A programmatic statement

This paper argues for the use of social indicators, in conjunction with the traditional norm-referenced and criterion-referenced tests, to assess the effects of local educational systems. A conceptual framework for the study of educational performance is presented, interrelating (1) personal resources invested by youth, (2) opportunities for development, (3) developmental behaviors, (4) educational system impacts, and (5) other contextual variables, which together affect (6) progress toward adulthood. Four types of variables and 15 content areas that should be monitored are described, with examples of social indicators for each. Procedures are presented for selecting variables, collecting time-series data, and analyzing and reporting the indicators, relying entirely on existing data sources. Appendices include a data base screening form, a statistic screening form, and a list of United States national, state, county, and city sources of time-series data relevant to youth development and educational performance.