Research on moral cleansing and moral self-licensing has introduced dynamic considerations in the theory of moral behavior. Past bad actions trigger negative feelings that make people more likely to engage in future moral behavior to offset them. Symmetrically, past good deeds favor a positive...

Research on moral cleansing and moral self-licensing has introduced dynamic considerations in the theory of moral behaviour. Past bad actions trigger negative feelings that make people more likely to engage in future moral behaviour to offset them. Symmetrically, past good deeds favour a...

In this paper we explore how individual social preferences correlate with political support for redistribution. We ran an incentivized experiment with a large representative sample of the Spanish population. Our participants took six decisions that elicited their social preferences. Their...

In this paper we explore how individual social preferences correlate with political support for redistribution. We ran an incentivized experiment with a large representative sample of the Spanish population. Our participants took six decisions that elicited their social preferences. Their...

Research on moral cleansing and moral self-licensing has introduced dynamic considerations in the theory of moral behavior. Past bad actions trigger negative feelings that make people more likely to engage in future moral behavior to offset them. Symmetrically, past good deeds favor a positive...

Using a dataset of 15,000 subjects from 32 western countries, the current study examines individuals who were raised in a certain religion and at some stage of their lives left it. Currently, they define their religious affiliation as 'no religion'. A battery of explanatory variables...

Using an international dataset of about 35,000 subjects, this paper provides an empirical example of high-stakes incentives in relation to religious practice. First, we show that incentives (based on absolute belief) play a salient role in religious performance. Second, we find that, when both...