Abstract
We investigate the emergence and enforcement of contribution norms to public goods in homogeneous and heterogeneous groups. With survey data we demonstrate that uninvolved individuals hold well defined yet conflicting normative views of fair contribution rules related to efficiency, equality, and equity. In the experiment, in the absence of punishment no positive contribution norm is observed and all groups converge towards free-riding. With punishment, strong and stable differences in contributions emerge across group types and individuals in different roles. In some cases these differences result from the emergence of an efficiency norm where all fully contribute. In the cases where full efficiency is not attained, these differences result from the enforcement of different relative contribution norms. Hence, our experimental data show that, even in heterogeneous groups, individuals can overcome the collective action problem inherent in public good games by agreeing on and enforcing a contribution norm. (c) 2012 Elsevier Inc. All rights reserved.
Original language | English |
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Pages (from-to) | 122-137 |
Number of pages | 16 |
Journal | Games and Economic Behavior |
Volume | 77 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2013 |
Keywords
- Public good
- Heterogeneous groups
- Punishment
- Cooperation
- Social norms
- Norm enforcement
- SOCIAL NORMS
- VOLUNTARY CONTRIBUTIONS
- HUMAN COOPERATION
- PUNISHMENT
- RECIPROCITY
- FAIRNESS
- PREFERENCES
- PROVISION
- PRODUCTIVITY
- COMPETITION
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Dive into the research topics of 'Enforcement of contribution norms in public good games with heterogeneous populations'. Together they form a unique fingerprint.Datasets
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Replication data for: Enforcement of Contribution Norms in Public Good Games with Heterogeneous Populations
Reuben, E. (Contact) & Riedl, A. (Creator), openICPSR, 10 May 2020
DOI: 10.3886/e119364v1, https://doi.org/10.1016/j.geb.2012.10.001
Dataset/Software: Dataset
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Replication data for: Enforcement of contribution norms in public good games with heterogeneous populations
Reuben, E. (Creator) & Riedl, A. (Contributor), ICPSR, 10 May 2020
DOI: 10.3886/e119364v1-102960, https://www.openicpsr.org/openicpsr/project/119364/version/V1/view?path=/openicpsr/119364/fcr:versions/V1/hetpgdata.dta&type=file
Dataset/Software: Dataset