Standard kernel density estimation methods are very often used in practice to estimate density function. It works well in numerous cases. However, it is known not to work so well with skewed, multimodal and heavy-tailed distributions. Such features are usual with income distributions, defined...

Estimates of the level of inequality of opportunity have traditionally been interpreted as lower bounds due to the downward bias resulting from the partial observability of circumstances that affect individual outcome. We show that such estimates may also suffer from upward bias as a consequence...

Earning an income is probably the best way of avoiding poverty and social exclusion, hence the recent trend of promoting employment through in-work transfers in OECD countries. Yet, the relative consensus on the need for "making work pay" policies is muddied by a number of concerns relative to...

The COVID-19 pandemic risks exacerbating inequality in Asia. High frequency labor surveys show that the pandemic is having particularly adverse effects on younger workers, women and people that are more vulnerable. Pandemics have been shown to increase inequalities. As a result, income...

This papers quantifies the redistributive effects on progressivity, poverty and welfare, that would occur if the monetary benefits currently in place in the Spanish system were to be replaced by a neutral alternative in terms of spending, granting a universal basic income (UBI) to everyone. We...

The "Minimum Vital Income" (IMV) constitutes a novelty in the panorama for fighting poverty by guaranteeing minimum incomes after the COVID-19 crisis. This work simulates the distributional and poverty effects of the IMV introduction across Spanish regions using EUROMOD. Our results show that...

GDP contractions are typically associated with within-country income inequality increases. While official income inequality data for 2020 will not be available for about two years, the already available employment data for 2020 shows that the difference between highly-educated and low-educated...