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This study aims to explore whether trends in the pattern of income inequality over the past 40 years apply equally to working and retirement age households in the UK, and if so, why this might be so.

Drawing on data from the Office of National Statistics, various indices of income inequality have been calculated among retired and working-age households for the period 1977–2017.

Despite a broadly similar trend towards increasing inequality during the 1980s and into the 1990s among both types of household, income inequality among UK retired households has always remained below than that of working-age households. For retired and working-age households alike, the fortunes of those in the upper half of the income distribution have seen themselves do better. Despite the temporal contiguity, different explanations for both sets of inequalities seem to be required, and likely different strategies needed to ameliorate their more negative effects.

Few studies have conducted comparisons of inequality between retirement and working-age households over four decades in any country. The present study's long view suggests that factors creating inequality in the upper half of the income distribution may differ in both their cause and impact, compared with inequalities in the lower half. Arguably, the greatest need is to improve access to benefits for those retired householders at the bottom of the income distribution.

Existing research tends to conceptualize age- and gender-based discrimination as distinct and unrelated social phenomena. A growing body of scholarship, however, highlights the importance of conceptualizing ageism as potentially gendered, and gender discrimination as inherently shaped by age. Using an intersectional theoretical perspective, this chapter examines how gender and age combine to shape women’s and men’s experiences of workplace mistreatment.

The data are obtained from the U.S. General Social Survey. The analysis begins with descriptive statistics, showing how rates of perceived age and gender mistreatment vary for men and women of different age groups. Multivariate logistic regressions follow.

Experiences of workplace mistreatment are significantly shaped by both gender and age. Among both men and women, workers in their 30s and 40s report relatively low levels of perceived age-based discrimination, compared to older or younger workers. It is precisely during this interval of relatively low rates of perceived age-based discrimination that women’s (but not men’s) perceptions of gender-based mistreatment rises dramatically. At all ages, women are significantly more likely to face either gender- or age-based discrimination than men, but the gap is especially large among workers in their 40s.

Women tend to perceive age- and gender-based mistreatment at different times of life, but a concurrent examination of gender- and age-based mistreatment reveals that women’s working lives are characterized by high rates of mistreatment throughout their careers, in a way that men’s are not. The results highlight the importance of conceptualizing gender and age as intersecting systems of inequality.

This chapter focuses on an important aspect of economic inequality – the question of how people perceive inequality and whether these perceptions deviate in any meaningful way from statistical measures of inequality. Using a novel approach, the author investigates whether individuals across different countries are able to correctly estimate the shape of income distribution of the country where they reside. The author further investigates whether individuals have the distribution of a particular reference group in mind when they answer questions on inequality. The author finds that perceptions of inequality are frequently shaped by reference groups such as those formed according to educational attainment, age, and gender.

Wellbeing evaluation using ordered categorical response data is hazardous given the scale dependent nature of most measures of wellbeing and inequality. Here, scale independent instruments for measuring levels of wellbeing and inequalities between groups in multidimensional ordered categorical environments are introduced and applied in a study of health and consumption wellbeing and the aging process in twenty‐first century China. Urban/rural location, gender, age and the availability of welfare support were considered circumstances in what is in essence a study of equality of opportunity in the acquisition of health and consumption wellbeing in Chinas’ aging population. Older populations are found to experience diminished and increasingly diverse wellbeing outcomes that are, to some extent, ameliorated by welfare support.

This paper introduces a new quinquennial dataset of educational inequality disaggregated by age group for 146 countries, from 1950 to 2010, by using the Gini index of education as a measure of the distribution of years of schooling. Based on recent estimates of average years of schooling from Barro and Lee (2010), our calculations take into consideration, for the first time, the changes over time in the duration of educational stages, in each country and for each age group. The downward trends in educational inequality observed during the last decades depend on age group, gender, and development level.

The purpose of this study was to develop a scale that can be used to assess inequality at work based on gender, age and ethnicity that is grounded in Acker’s (2006) inequality regimes.

The authors used three representative samples (total N = 1,806) of Swedish teachers, nurses and social workers to develop and validate the scale. The validation process included the assessment of content validity, confirmatory factor analysis for factorial validity, internal consistency and associations with theoretically warranted outcomes and related constructs to assess criterion-related validity and convergent validity.

The authors found evidence supporting the content, factorial, criterion-related and convergent validity of the InEquality in organisations Scale (InE-S). Furthermore, the scale demonstrated high internal consistency.

The newly developed scale InE-S may be used to further the understanding of how inequality at work influences employees. This study makes a contribution to the current literature by providing a scale that, for the first time, can test Acker’s hypotheses using quantitative methods to demonstrate the consequences of inequality at work.

Most politicians and ethical observers are not interested in pure health inequalities, as they want to distinguish between different causes of health differences. Measures of “unfair” inequality – direct unfairness and the fairness gap, but also the popular standardized concentration index (CI) – therefore neutralize the effects of what are considered to be “legitimate” causes of inequality. This neutralization is performed by putting a subset of the explanatory variables at reference values, for example, their means. We analyze how the inequality ranking of different policies depends on the specific choice of reference values. We show with mortality data from the Netherlands that the problem is empirically relevant and we suggest a statistical method for fixing the reference values.

We explore what health-capital theory has to offer in terms of informing and directing research into health inequality. We argue that economic theory can help in identifying mechanisms through which specific socioeconomic indicators and health interact. Our reading of the literature, and our own work, leads us to conclude that non-degenerate versions of the Grossman (1972a, 1972b) model and its extensions can explain many salient stylized facts on health inequalities. Yet, further development is required in at least two directions. First, a childhood phase needs to be incorporated, in recognition of the importance of childhood endowments and investments in the determination of later-life socioeconomic and health outcomes. Second, a unified theory of joint investment in skill (or human) capital and in health capital could provide a basis for a theory of the relationship between education and health.

This paper uses a lifetime income simulation model to examine the effects on inequality and progressivity of extending the time period over which income is measured. The income tax schedule typically displays increasing marginal rates, and there is a substantial amount of relative income mobility, along with a systematic variation in average incomes over the life cycle of the cohort. Simulations show that progressivity and inequality measures can often move in opposite directions, both over time for annual accounting periods, and as the length of period is gradually increased. The relationship between summary measures is complicated by the role of the aggregate tax ratio, in addition to the re‐ranking that can occur in the larger period framework. Some tax structures are found to increase in progressivity, while others show less progressivity, as the time period increases. Re‐ranking is found to increase as the accounting period increases: it is higher and increases more rapidly as the accounting period is increased for tax structures displaying more steeply rising rate structures.

This paper applies a recently developed method of ranking socioeconomic inequality in health to ranking U.S. happiness from 1994 to 2012 using the GSS data. We also compare happiness between subgroups as decomposed by gender, race, and age. We establish and test a monotone condition of happiness – a richer person is likely to be happier. Under the monotone condition, standard tools of welfare and inequality ranking can be applied straightforwardly.