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Equality of opportunity is about leveling the playing field so that circumstances such as gender, ethnicity, place of birth, or family background do not influence a person's life chances. Success in life should depend on people's choices, effort and talents, not to their circumstances at birth. 'Measuring Inequality of Opportunities in Latin America and the Caribbean' introduces new methods for measuring inequality of opportunities and makes an assessment of its evolution in Latin America over a decade. An innovative Human Opportunity Index and other parametric and non-parametric techniques are presented for quantifying inequality based on circumstances exogenous to individual efforts. These methods are applied to gauge inequality of opportunities in access to basic services for children, learning achievement for youth, and income and consumption for adults.

The article is devoted to improving methods for assessing the degree of compliance with the principles of social responsibility in the field of labor remuneration of Ukrainian enterprises. The authors propose methods for calculating indicators suitable for evaluating both the dynamics of the spread of the principles of business social responsibility and for comparing the results observed in different types of economic activity. In particular, it is proposed to supplement the assessment based on the ratio of labor productivity growth rates to the growth rates of wages with the use of the index of inequality of factor income distribution, which will reflect the ratio of per capita personnel costs to per capita incomes from profit per recipient of such type of incomes. That ensures an advantage compared with common indicators, which are not suitable for comparing the extent of implementation of social responsibility principles in different branches of the economy.It is substantiated that the period since the beginning of the full-scale Russian military invasion is characterized by an increase in the susceptibility of Ukrainian businesses to the principles of social responsibility, which is manifested in the equalization of the distribution of factor income. Despite the processes of forced militarization of the economy, the growing share of capital-intensive economic activities, and the intensification of production concentration, since the beginning of the full-scale war, Ukrainian businesses have mostly maintained the share of wages in the value added, which indicates the importance of institutional prerequisites for strengthening the social responsibility of business, in particular regarding wages. The factor inequality of income distribution has also decreased, as evidenced by the dynamics of the index calculated according to the author's methodology. The use of the proposed tools allows for improving the analytical support for the development of state policy on the regulation of incomes and wages, more accurately determining the current “margin of safety” that enterprises have to improve the conditions of remuneration.

Social inequality in mathematical skill is apparent at kindergarten entry and persists during elementary school. To level the playing field, we trained teachers to assess children’s numerical and spatial skills every 10 wk. Each assessment provided teachers with information about a child’s growth trajectory on each skill, information designed to help them evaluate their students’ progress, reflect on past instruction, and strategize for the next phase of instruction. A key constraint is that teachers have limited time to assess individual students. To maximize the information provided by an assessment, we adapted the difficulty of each assessment based on each child’s age and accumulated evidence about the child’s skills. Children in classrooms of 24 trained teachers scored 0.29 SD higher on numerical skills at posttest than children in 25 randomly assigned control classrooms (P = 0.005). We observed no effect on spatial skills. The intervention also positively influenced children’s verbal comprehension skills (0.28 SD higher at posttest, P < 0.001), but did not affect their print-literacy skills. We consider the potential contribution of this approach, in combination with similar regimes of assessment and instruction in elementary schools, to the reduction of social inequality in numerical skill and discuss possible explanations for the absence of an effect on spatial skills.

In this paper, we bring issues of inequality as a cross-cutting principle to all SDGs with a critical perspective on power relations, exemplified through the relevant social question of housing. For this purpose, we have developed the inequality and poverty assessment model (IPAM), a systematic approach for streamlining problems and solutions within the SDG-framework in an inequality-sensitive way, serving as a guideline to screen topics for five dimensions of social and environmental justice: (a) distribution, (b) procedure and participation, (c) fairness in climate and environmental adaptation, (d) legitimacy and (e) recognition. Following a mixed-methods research design with expert interviews, stakeholder workshops, document analysis and an extensive literature review, we identify areas of concern, such as the interlinkage of energy efficient, affordable and climate-friendly housing, and elaborate on strategies and policy recommendations to support affordable and sustainable housing, in the specific context of urban (in)equalities in Austria. We recommend three sets of measures on the (I) De-commodification of housing by remunicipalisation, (II) De-commodification by spatial and building planning and regulated land use and (III) Strategies for more inclusive housing.

We previously proposed that socioeconomic status (SES) is a fundamental cause of health inequalities and, as such, that SES inequalities in health persist over time despite radical changes in the diseases, risks, and interventions that happen to produce them at any given time. Like SES, race in the United States has an enduring connection to health and mortality. Our goals here are to evaluate whether this connection endures because systemic racism is a fundamental cause of health inequalities and, in doing so, to review a wide range of empirical data regarding racial differences in health outcomes, health risks, and health-enhancing resources such as money, knowledge, power, prestige, freedom, and beneficial social connections. We conclude that racial inequalities in health endure primarily because racism is a fundamental cause of racial differences in SES and because SES is a fundamental cause of health inequalities. In addition to these powerful connections, however, there is evidence that racism, largely via inequalities in power, prestige, freedom, neighborhood context, and health care, also has a fundamental association with health independent of SES.

This article examines the intersection of two structural developments: the growth of surveillance and the rise of \"big data.\" Drawing on observations and interviews conducted within the Los Angeles Police Department, I offer an empirical account of how the adoption of big data analytics does—and does not—transform police surveillance practices. I argue that the adoption of big data analytics facilitates amplifications of prior surveillance practices and fundamental transformations in surveillance activities. First, discretionary assessments of risk are supplemented and quantified using risk scores. Second, data are used for predictive, rather than reactive or explanatory, purposes. Third, the proliferation of automatic alert systems makes it possible to systematically surveil an unprecedentedly large number of people. Fourth, the threshold for inclusion in law enforcement databases is lower, now including individuals who have not had direct police contact. Fifth, previously separate data systems are merged, facilitating the spread of surveillance into a wide range of institutions. Based on these findings, I develop a theoretical model of big data surveillance that can be applied to institutional domains beyond the criminal justice system. Finally, I highlight the social consequences of big data surveillance for law and social inequality.

A guide to a holistic approach to healthcare measurement aimed at improving access and outcomes Healthcare System Access is an important resource that bridges two areas of research—access modeling and healthcare system engineering. The book's mathematical modeling approach highlights fundamental approaches on measurement of and inference on healthcare access. This mathematical modeling facilitates translating data into knowledge in order to make data-driven estimates and projections about parameters, patterns, and trends in the system. The complementary engineering approach uses estimates and projections about the system to better inform efforts to design systems that will yield better outcomes. The author—a noted expert on the topic—offers an in-depth exploration of the concepts of systematic disparities, reviews measures for systematic disparities, and presents a statistical framework for making inference on disparities with application to disparities in access. The book also includes information health outcomes in the context of prevention and chronic disease management. In addition, this text: * Integrates data and knowledge from various fields to provide a framework for decision making in transforming access to healthcare * Provides in-depth material including illustrations of how to use state-of-art methodology, large data sources, and research from various fields * Includes end-of-chapter case studies for applying concepts to real-world conditions Written for health systems engineers, Healthcare System Access: Measurement, Inference, and Intervention puts the focus on approaches to measure healthcare access and addresses important enablers of such change in healthcare towards improving access and outcomes.

In this article, we consider how individuals’ long-term employment trajectories relate to wage inequality and the gender wage gap in the United States. Using more than 30 years of data from the National Longitudinal Survey of Youth 1979 sample, we identify six employment trajectories for individuals from ages 22 to 50. We find that women across racial/ethnic groups and Black men are more likely than White and Hispanic men to have nonsteady employment trajectories and lower levels of employment throughout their lives, and individuals who have experienced poverty also have heightened risks of intermittent employment. We then assess how trajectories are associated with wages later in careers, at ages 45–50. We find significant variation in wages across work trajectories, with steady high employment leading to the highest wages. This wage variation is primarily explained by work characteristics rather than family characteristics. Finally, we examine gender variation in within-trajectory wages. We find that the gender wage gap is largest in the steady high employment trajectory and is reduced among trajectories with longer durations of nonemployment. Thus, although women are relatively more concentrated in nonsteady trajectories than are men, men who do follow nonsteady wage trajectories incur smaller wage premiums than men in steady high employment pathways, on average. These findings demonstrate that long-term employment paths are important predictors of economic and gender wage inequality.

Background The social determinants of health have been widely recognised yet there remains a lack of clarity regarding what constitute the macro-economic determinants of health and what can be done to address them. An umbrella review of systematic reviews was conducted to identify the evidence for the health and health inequalities impact of population level macroeconomic factors, strategies, policies and interventions. Methods Nine databases were searched for systematic reviews meeting the Database of Abstracts of Reviews of Effects (DARE) criteria using a novel conceptual framework. Studies were assessed for quality using a standardised instrument and a narrative overview of the findings is presented. Results The review found a large ( n  = 62) but low quality systematic review-level evidence base. The results indicated that action to promote employment and improve working conditions can help improve health and reduce gender-based health inequalities. Evidence suggests that market regulation of tobacco, alcohol and food is likely to be effective at improving health and reducing inequalities in health including strong taxation, or restriction of advertising and availability. Privatisation of utilities and alcohol sectors, income inequality, and economic crises are likely to increase health inequalities. Left of centre governments and welfare state generosity may have a positive health impact, but evidence on specific welfare interventions is mixed. Trade and trade policies were found to have a mixed effect. There were no systematic reviews of the health impact of monetary policy or of large economic institutions such as central banks and regulatory organisations. Conclusions The results of this study provide a simple yet comprehensive framework to support policy-makers and practitioners in addressing the macroeconomic determinants of health. Further research is needed in low and middle income countries and further reviews are needed to summarise evidence in key gaps identified by this review. Trial registration Protocol for umbrella review prospectively registered with PROSPERO CRD42017068357 .

This article offers an evaluation of cross-national measures of ethnic socio-economic inequality. It demonstrates that the measures differ in important ways regarding empirical scope, conceptualization, measurement and aggregation. Despite significant advances in the measurement of ethnic inequality, all measures have shortcomings, such as limited and biased coverage, as well as measurement error from the underlying data sources. Moreover, the empirical convergence between conceptually similar measures is strikingly low: some of the measures show no or even negative covariation. Four replication studies also indicate that extant measures of ethnic inequality are generally not interchangeable. Scholars should therefore take the various features highlighted in this evaluation into account before employing any of them. Based on this conclusion, the article offers multiple suggestions for improving existing measures and developing new ones.