Comparing experience- and description-based economic preferences across 11 countries

Hernán Anlló, Sophie Bavard, Fatima Ezzahra Benmarrakchi, Darla Bonagura, Fabien Cerrotti, Mirona Cicue, Maelle Gueguen, Eugenio José Guzmán, Dzerassa Kadieva, Maiko Kobayashi, Gafari Lukumon, Marco Sartorio, Jiong Yang, Oksana Zinchenko, Bahador Bahrami, Jaime Silva Concha, Uri Hertz, Anna B. Konova, Jian Li, Cathal O’MadagainJoaquin Navajas, Gabriel Reyes, Atiye Sarabi-Jamab, Anna Shestakova, Bhasi Sukumaran, Katsumi Watanabe, Stefano Palminteri

Research output: Contribution to journalArticlepeer-review

Abstract

Recent evidence indicates that reward value encoding in humans is highly context dependent, leading to suboptimal decisions in some cases, but whether this computational constraint on valuation is a shared feature of human cognition remains unknown. Here we studied the behaviour of n = 561 individuals from 11 countries of markedly different socioeconomic and cultural makeup. Our findings show that context sensitivity was present in all 11 countries. Suboptimal decisions generated by context manipulation were not explained by risk aversion, as estimated through a separate description-based choice task (that is, lotteries) consisting of matched decision offers. Conversely, risk aversion significantly differed across countries. Overall, our findings suggest that context-dependent reward value encoding is a feature of human cognition that remains consistently present across different countries, as opposed to description-based decision-making, which is more permeable to cultural factors.

Original languageAmerican English
Number of pages14
JournalNature Human Behaviour
Early online date14 Jun 2024
DOIs
StatePublished - Aug 2024

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Social Psychology
  • Behavioral Neuroscience

Fingerprint

Dive into the research topics of 'Comparing experience- and description-based economic preferences across 11 countries'. Together they form a unique fingerprint.

Cite this