Climate change has caused both substantial short and long-term financial impacts on individuals and families. Little research, however, has examined its financial consequences on retirement savings. This study explores the relationship between climate risk (CR) and retirement wealth, and related pathways via risk aversion and regret with 1,438 Dutch respondents. Findings show that CR is positively related to risk aversion and avoidance of regret, and more savings for retirement. The findings indicate that CR is a relevant determinant of savings for retirement, but it is inconclusive that more savings is through precautionary motive or future regret.

Greed is best defined as the “experience of desiring to acquire more and the dissatisfaction of never having enough” (Seuntjens, Zeelenberg, Breugelmans, & Van De Ven, 2015, p. 518). The Dispositional Greed Scale (Seuntjens, Zeelenberg, Van De Ven, & Breugelmans, 2015) is most often used to measure greed and has been validated for various languages, although not for Spanish. We present the first Spanish translation of the DGS. We tested two parallel translations of the scale (N = 305) using two related but distinct words for greedy: codicioso and avaricioso. Both translations showed unidimensional factor structure, with acceptable reliability. Multigroup confirmatory factor analysis showed evidence for scalar equivalence of both translations. A comparison with data from a previous English version of the scale showed evidence of metric equivalence. Additionally, we found the expected relationships between greed and envy, materialism, need for achievement, and self-improvement. We conclude the DGS-Spanish has been successful in capturing the essential features of the DGS.

Accumulating wealth is one of the main concerns for consumers. Higher education is widely associated with higher wealth, but the underlying reasons for this association remain unclear. Using data from a field study conducted with 218 adults in agrarian communities in Peru's Andean highlands, we explored the extent to which education, non‐numeric fluid intelligence, crystallized intelligence, and numeracy skills were related to wealth. Wealth was measured using data on asset ownership (e.g., owning a fridge) and housing characteristics (e.g., toilet facilities). Structural equation modeling revealed that the level of schooling was associated with greater numeracy as well as greater non‐numeric fluid and crystallized intelligence; only greater numeracy was associated with greater wealth. Our findings are consistent with the idea that education is linked with financial outcomes, at least in part, through the enhancement of cognitive skills, particularly numeracy that then leads to greater wealth accumulation.