We examine how people redistribute income when there is uncertainty about the role luck plays in determining opportunities and outcomes. We elicit redistribution decisions from a U.S.-representative sample who observe worker outcomes and whether luck magnified workers' effort ("lucky...

This paper studies a model of the distribution of income under bounded needs. Utility derived from any given good reaches a bliss point at a finite consumption level of that good. On the other hand, introducing new varieties always increases utility. It is assumed that each variety is owned by a...

The US labour market has experienced a remarkable polarization in the 1980s and 1990s. Moreover, recent empirical work has documented a sharp increase in the wealth to income ratio in that period. Contemporary to these inequality trends, the US faced a fast technological catch-up as European...

We analyze some macroeconomic implications that follow from the fact that people tend to consume higher-quality goods as their incomes rise. The model involves two sectors: one producing a homogeneous good and the other producing a product with variable levels of quality. Both sectors use...

We propose a model of "trade" between high income and low-income groups where the rich being scared of the spread of infection hires the poor to engage them in exposure-intensive outdoor activities as workers in the household industry. People who endure hardships and sustain exposure to...

The Routine-Biased Technological Change (RBTC) has been called as a relatively novel technologybased explanation of social changes like job and wage polarization. In this paper we investigate the wage inequality between routine and non-routine workers along the wage distribution in Italy. Thanks...

We develop a possibility to work index (PWI) taking the ability to work from home and workplace closures into account. By using the data from the HLFS in Turkey, we examine the individual level determinants of PWI. Our findings reveal that PWI and ability to work from home are significantly...