When cash costs you: The pain of holding coins over banknotes
Bibliographic record
Abstract
Abstract We hypothesize that the physical characteristics of cash lead to differences in “pain of holding” which influences spending. In one field study (rural India) and two controlled experiments (N = 1710), we tested that hypothesis by endowing people with coins or equivalently valued banknotes and measuring their pain of holding and spending. Holding denomination constant (e.g., $1 coins vs. $1 banknotes), participants reported a greater pain of holding for coins (vs banknotes) which in turn increased spending. These findings were consistent across three incentive‐compatible experiments using a range of contexts (spending/donation), populations (Americans/Indians), and currencies (USD/INR). There was no evidence that coins were spent more than banknotes because of lower perceived purchasing power. Our findings suggest that the pain of holding contributes to under‐saving, which may be especially problematic among vulnerable populations who rely on cash. Conceptually, we shed new insight on the denomination effect (greater spending of smaller than larger denominations) and the pain of paying (the aversive experience of spending money). Practically, we provide recommendations for practitioners who wish to encourage donations, spending, or saving.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".