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Part 1: Document Description
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Citation |
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Title: |
The Binary Conditional Contribution Mechanism for public good provision in dynamic settings - Theory and experimental evidence [Dataset] |
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Identification Number: |
doi:10.11588/data/QHN1KT |
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Distributor: |
heiDATA |
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Date of Distribution: |
2018-03-22 |
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Version: |
1 |
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Bibliographic Citation: |
Reischmann, Andreas; Oechssler, Jörg, 2018, "The Binary Conditional Contribution Mechanism for public good provision in dynamic settings - Theory and experimental evidence [Dataset]", https://doi.org/10.11588/data/QHN1KT, heiDATA, V1, UNF:6:oGAQOEsaP2z2MtFReyc6Uw== [fileUNF] |
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Citation |
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Title: |
The Binary Conditional Contribution Mechanism for public good provision in dynamic settings - Theory and experimental evidence [Dataset] |
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Identification Number: |
doi:10.11588/data/QHN1KT |
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Authoring Entity: |
Reischmann, Andreas (Alfred-Weber-Institute of Economics, Heidelberg University, Germany) |
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Oechssler, Jörg (Alfred-Weber-Institute of Economics, Heidelberg University, Germany) |
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Distributor: |
heiDATA |
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Distributor: |
heiDATA: Heidelberg Research Data Repository |
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Access Authority: |
Oechssler, Joerg |
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Date of Deposit: |
2018-03-20 |
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Holdings Information: |
https://doi.org/10.11588/data/QHN1KT |
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Study Scope |
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Keywords: |
Social Sciences, Experimental economics, Public goods, Mechanism design, Better response dynamics |
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Topic Classification: |
C72, C92, D82, H41 |
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Abstract: |
We present a new and simple mechanism for repeated public good environments. In the Binary Conditional Contribution Mechanism (BCCM), every agent's message has the form, “I am willing to contribute to the public good if at least k agents contribute in total.” This mechanism offers agents risk-free strategies, which we call unexploitable. We prove that if agents choose unexploitable messages in a Better Response Dynamics model, all stable outcomes of the BCCM are Pareto efficient. We conduct a laboratory experiment to investigate whether observed behavior is consistent with this prediction. Subjects play the BCCM in an environment with complete information and homogeneous valuations or in a second environment with incomplete information and heterogeneous valuations. In both cases all stable outcomes in the experiment are in line with the prediction of the dynamic model. Furthermore, comparison treatments with the Voluntary Contribution Mechanism show that the BCCM leads to significantly higher contribution rates. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
For long term preservation only |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Andreas Reischmann, Joerg Oechssler, The Binary Conditional Contribution Mechanism for public good provision in dynamic settings — Theory and experimental evidence, Journal of Public Economics, Volume 159, March 2018, Pages 104-115 |
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Identification Number: |
10.1016/j.jpubeco.2018.02.009 |
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Bibliographic Citation: |
Andreas Reischmann, Joerg Oechssler, The Binary Conditional Contribution Mechanism for public good provision in dynamic settings — Theory and experimental evidence, Journal of Public Economics, Volume 159, March 2018, Pages 104-115 |
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File Description--f1559 |
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File: data.tab |
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Notes: |
UNF:6:Ve0l60aZQqqVSrWXSSC14w== |
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File Description--f1576 |
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File: dataworking.tab |
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Notes: |
UNF:6:IDdZtcpmTVV6DYc/CVXm8A== |
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List of Variables: |
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Variables |
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f1559 Location: |
Variable Format: character Notes: UNF:6:JyWn5B9v4FyVvmjAHUi64w== |
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f1559 Location: |
Summary Statistics: Max. 12.0; Valid 3900.0; Mean 6.358974358974301; StDev 3.3246742410788466; Min. 1.0 Variable Format: numeric Notes: UNF:6:R2VKt66fhkZgrm+OrkA7Kw== |
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f1559 Location: |
Variable Format: character Notes: UNF:6:0h+dHpd9jqufcNwFxvaSrg== |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
Summary Statistics: Mean 3.5655; StDev 1.6096599804388128; Valid 2000.0; Min. 1.0; Max. 6.0 Variable Format: numeric Notes: UNF:6:4wAaiLmIgtjMrsZnn+f6ww== |
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f1559 Location: |
Summary Statistics: Mean 638.1282051282005; StDev 332.4055791775025; Min. 101.0; Max. 1202.0; Valid 3900.0 Variable Format: numeric Notes: UNF:6:rhItasQ95Iu4VPhUFaSXaw== |
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f1559 Location: |
Summary Statistics: Mean 0.5128205128205122; Max. 1.0; StDev 0.4998997012402305; Min. 0.0; Valid 3900.0 Variable Format: numeric Notes: UNF:6:9CNQoVR7scZpvCEzHmYoZw== |
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f1559 Location: |
Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.615384615384597; StDev 0.4865666397481687; Valid 3900.0; Variable Format: numeric Notes: UNF:6:7yLz6xT6xSwFunv3GAIQBQ== |
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f1559 Location: |
Summary Statistics: Valid 3900.0; Mean 3.2217948717948834; StDev 1.6783664486204415; Max. 5.0; Min. 0.0; Variable Format: numeric Notes: UNF:6:bL99VNt6P9VQq11OFBADDQ== |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
Summary Statistics: Min. 0.0; StDev 0.46421697412967156; Max. 1.0; Valid 3900.0; Mean 0.6858974358974371 Variable Format: numeric Notes: UNF:6:KsGrjxtXBvjlL3NqUJ4WTQ== |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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f1559 Location: |
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