Which social categories matter to people: An experiment Adnan, Wifag Arin, K. Peren Charness, Gary Lacomba Arias, Juan Antonio Lagos García, Francisco Miguel Social categories Gender Religion Ethnicity Discrimination We would like to thank Zayed University for the financial support through RIF R19064 grant. Juan A. Lacomba and Francisco M. Lagos also acknowledge support from PGC2018- 097811-B-I00 and A-SEJ-151-UGR18. Social categories matter to people, but it is not obvious ex ante which ones matter more. To explore this, we conduct a novel experimental market of anonymous partners based on social categories. Participants have the option of choosing or discarding a peer according to their gender, ethnicity, and religion. Our research design allows us to explore whether in- dividuals prioritize social categories when selecting a peer and whether the order in which social categories are prioritized is context dependent. Considering both free and costly de- cisions, two economic contexts are evaluated: donations (dictator game) and investments (risk game). We find that when selecting a partner, gender appears to be the dominant social category across different conditions, with subjects exhibiting sharp preferences for being matched with a female partner. However, the partner’s religion gains prominence as a requested social category when issues concerning social-group decision-making be- come relevant to one’s own payoffs. Finally, we find that choosing social categories seems to have economic consequences both by increasing economic donations and increasing in- vestments. 2026-01-14T10:50:29Z 2026-01-14T10:50:29Z 2022 journal article Published version: Adnan, Wifag et al. Which social categories matter to people: An experiment. Journal of Economic Behavior & Organization Volume 193, January 2022, Pages 125-145. https://doi.org/10.1016/j.jebo.2021.11.010 https://hdl.handle.net/10481/109674 10.1016/j.jebo.2021.11.010 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier