Reciprocity in Gift-Exchange-Games
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2014
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| _version_ | 1866913371087962112 |
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| author | Tagiew, Rustam Ignatov, Dmitry I. |
| author_facet | Tagiew, Rustam Ignatov, Dmitry I. |
| contents | This paper presents an analysis of data from a gift-exchange-game experiment. The experiment was described in `The Impact of Social Comparisons on Reciprocity' by Gächter et al. 2012. Since this paper uses state-of-art data science techniques, the results provide a different point of view on the problem. As already shown in relevant literature from experimental economics, human decisions deviate from rational payoff maximization. The average gift rate was $31$%. Gift rate was under no conditions zero. Further, we derive some special findings and calculate their significance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1402_5593 |
| institution | arXiv |
| publishDate | 2014 |
| record_format | arxiv |
| spellingShingle | Reciprocity in Gift-Exchange-Games Tagiew, Rustam Ignatov, Dmitry I. Artificial Intelligence This paper presents an analysis of data from a gift-exchange-game experiment. The experiment was described in `The Impact of Social Comparisons on Reciprocity' by Gächter et al. 2012. Since this paper uses state-of-art data science techniques, the results provide a different point of view on the problem. As already shown in relevant literature from experimental economics, human decisions deviate from rational payoff maximization. The average gift rate was $31$%. Gift rate was under no conditions zero. Further, we derive some special findings and calculate their significance. |
| title | Reciprocity in Gift-Exchange-Games |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/1402.5593 |