We introduce distributive justice into a simple model of growth and distribution. Two groups (‘classes’) of otherwise identical, capital-rich and capital-poor individuals (‘capitalists’) and (‘workers’) are in conflict over factor (labour-capital) shares. Capitalists’ (workers’)...

We experimentally examine how the incentive to defect in a social dilemma affects conditional cooperation. In our first study we conduct online experiments in which subjects play eight Sequential Prisoner’s Dilemma games with payoffs systematically varied across games. We find that few second...

This study explores mechanism design with allocation-based social preferences. Agents’ social preferences and private payoffs are all subject to asymmetric information. We assume quasi-linear utility and independent types. We show how the asymmetry of information about agents’ social...

We consider a country whose government provides a bundle of goods and services through a multi-tier administrative organization. We compare the optimal architectures of public governance (i.e. the division of the state into several tiers, the distribution of services among them, their number of...

There is vast heterogeneity in the human willingness to weigh others’ interests in decision making. This heterogeneity concerns the motivational intricacies as well as the strength of other-regarding behaviors, and raises the question how one can parsimoniously model and characterize...

This paper reviews recent research on the aggregation of heterogeneous time preferences. Main results are illustrated in simple Ramsey models with two or three agents who differ in their discount factors. We employ an intertemporal view on these models and argue that preferences of a decision...

We study the interplay between intragenerational and intergenerational equity in an economy with two countries producing and consuming from national capital stocks. We characterize the sustainable development path that a social planner would implement to achieve intertemporal egalitarianism. If...