This paper analyzes how perceived income inequality is associated with subjective well-being. Using four waves of the "Social Inequality" module of the International Social Survey Programme, I show that the higher the level of perceived income inequality is, the lower the individual's perception...

As far as standard measures of income inequality are concerned, the Nordic countries rank among the most equal economies in the world. This paper studies whether and how this picture changes when the focus is on inequality of income composition, meaning the heterogeneity in individuals' factor...

The paper discusses the main issues related to negative and zero incomes that are relevant for the measurement of poverty. It shows the prevalence of non-positive incomes in high- and middle-income countries, provides an analysis of the sources and structure of these incomes, outlines the...

The key challenge in making distributional comparisons with ordinal data is the lack of commensurability of the distances between the ordered categories. This chapter provides a critical review of the most recent theoretical developments addressing this challenge and providing methods for...

Poverty prediction models are used by economists to address missing data issues in a variety of contexts such as poverty profiling, targeting with proxy-means tests, cross-survey imputations such as poverty mapping, or vulnerability analyses. Based on the models used by this literature, this...

This paper aims to identify the potential influence of financial literacy's marginal change on households' income (wealth) inequality levels both at the mean value and along with the distribution value. Using data from the Bank of Italy Survey of Households Income and Wealth (SHIW)'s 2016 wave -...

Although it is often argued that wealth inequality matters more for economic growth than income inequality, this relationship has rarely been studied empirically, with a few exceptions covering a very restricted country sample or short timeframe. Leveraging hitherto unexploited wealth inequality...

OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests, poverty mapping or cross-survey impu- tations. This paper compares the performance of econometric and machine learning models in predicting poverty using alternative objective...

Working from home (WFH) has become a key factor during the COVID-19 pandemic, especially in countries that have implemented severe social distancing measures. This paper investigates the potential influence of the working from home attitude of occupations on the gender wage gap (GWG) reported by...

The main aim of this study is to analyse the wage returns of Overeducated workers employed in Trinidad and Tobago. To undertake such a study, data from the Continuous Sample Survey of Population (CSSP) for the period 1991-2015 is used to estimate an initial OLS and Quantile regression version of...