In a less widely known contribution, Béla Martos (1966, Hungarian Academy of Sciences) introduced a generalized notion of concavity that is closely related to what is nowadays known as r-concavity in the operations research literature, and that is identical to what is nowadays known as...

We review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM) and mixture-based clustering for an ordered stereotype model (OSM). The latter is for modeling of ordinal...

The burgeoning use of ordinal data throughout the Empirical Sciences calls for location and variation measurement instruments suitable for such data environments. Neither Pearson's Coefficient of Variation nor the Sharpe Ratio, relative variation comparison workhorses in cardinal worlds, are...

How to undertake distributional comparisons when personal well-being is measured using income is well-established. But what if personal well-being is measured using subjective well-being indicators such as life satisfaction or self-assessed health status? Has average well-being increased or...

Non-intersection of appropriately-defined Generalized Lorenz (GL) curves is equivalent to a unanimous ranking of distributions of ordinal data by all Cowell and Flachaire (Economica 2017) indices of inequality and by a new index based on GL curve areas. Comparisons of life satisfaction...

To compare distributions of ordinal data such as individuals' responses on Likert-type scale variables summarizing subjective well-being, we should not apply the toolbox of methods developed for cardinal variables such as income. Instead we should use an analogous toolbox which takes account of...

We argue that the relationship between individual satisfaction with life (SWL) and SWL inequality is more complex than described by leading earlier research such as Goff, Helliwell, and Mayraz (Economic Inquiry, 2018). Using inequality indices appropriate for ordinal data, our analysis using the...

Surveys are an important tool in economics and in the social sciences more broadly. However, methods used to analyse ordinal survey data (e.g., ordered probit) rely on strong and often unjustified distributional assumptions. In this paper, we propose using survey response times to solve that...

Purpose: The Stress-Energy Questionnaire (SEQ) is an instrument developed to measure two aspects of mood at work. This study evaluates the discriminant validity of the SEQ when assessments are separated into work and leisure time. Furthermore, the use of the scale categories was explored with...

Perceived health, mood, job demands and social support are common outcome variables in epidemiological studies of the psychosocial work environment, as measured by multidimensional multiitem questionnaires. The Stress-Energy Questionnaire (SEQ) is one such questionnaire and was developed to...