For Whom Is Parting With Possessions More Painful?
Bibliographic record
Abstract
The endowment effect--the tendency for owners (potential sellers) to value objects more than potential buyers do--is among the most widely studied judgment and decision-making phenomena. However, the current research is the first to explore whether the effect varies across cultures. Given previously demonstrated cultural differences in self-construals and self-enhancement, we predicted a smaller endowment effect for East Asians compared with Westerners. Two studies involving buyers and sellers of a coffee mug (Study 1a) and a box of chocolates (Study 1b) supported this prediction. Study 2 conceptually replicated this cultural difference by experimentally manipulating independent and interdependent self-construals. Finally, Study 3 provided evidence for an underlying self-enhancement mechanism: Cultural differences emerged when self-object associations were made salient, but disappeared when self-object associations were minimized. Thus, the endowment effect may be influenced by the degree to which independence and self-enhancement (vs. interdependence and self-criticism) are culturally valued or normative.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".