Gunning for efficiency with third party enforcement in threshold public goods

Verfasser / Beitragende:
[James Andreoni, Laura Gee]
Ort, Verlag, Jahr:
2015
Enthalten in:
Experimental Economics, 18/1(2015-03-01), 154-171
Format:
Artikel (online)
ID: 605488770
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024 7 0 |a 10.1007/s10683-014-9392-1  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10683-014-9392-1 
245 0 0 |a Gunning for efficiency with third party enforcement in threshold public goods  |h [Elektronische Daten]  |c [James Andreoni, Laura Gee] 
520 3 |a When public goods can only be provided when donations cross a minimum threshold, this creates an advantage in that Pareto Efficient outcomes can be Nash Equilibria. Despite this, experiments have shown that groups struggle to coordinate on one of the many efficient equilibria. We apply a mechanism used successfully in continuous public goods games, the Hired Gun Mechanism (Andreoni and Gee in J.Public Econ. 96(11-12):1036-1046, 2012), to see if it can successfully get subjects across the threshold. When we use the mechanism to eliminate only inefficient equilibria, without addressing coordination, there is a modest but statistically insignificant improvement with the mechanism. However, when we hone the mechanism to eliminate all but one of the provision-point equilibria, thereby addressing the coordination issue, the mechanism moves all subjects to the desired efficient outcome almost immediately. In fact, after only one round using the hired gun mechanism, all subject are coordinating on the chosen equilibrium. The mechanism can be applied in settings where a group (1)has a plan for public good provision, (2)can measure contributions, (3)can fine members and (4)has an agreed upon standard for expected contributions. In these settings simple punishments, when focused on solving coordination as well as free riding, can greatly improve efficiency. 
540 |a Economic Science Association, 2014 
690 7 |a Public goods  |2 nationallicence 
690 7 |a Experiment  |2 nationallicence 
690 7 |a Laboratory  |2 nationallicence 
690 7 |a Equilibrium selection  |2 nationallicence 
690 7 |a Punishment  |2 nationallicence 
690 7 |a Free riding  |2 nationallicence 
700 1 |a Andreoni  |D James  |u Department of Economics, University of California, San Diego, 92093, La Jolla, CA, USA  |4 aut 
700 1 |a Gee  |D Laura  |u Department of Economics, Tufts University, 02155, Medford, MA, USA  |4 aut 
773 0 |t Experimental Economics  |d Springer US; http://www.springer-ny.com  |g 18/1(2015-03-01), 154-171  |x 1386-4157  |q 18:1<154  |1 2015  |2 18  |o 10683 
856 4 0 |u https://doi.org/10.1007/s10683-014-9392-1  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10683-014-9392-1  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Andreoni  |D James  |u Department of Economics, University of California, San Diego, 92093, La Jolla, CA, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Gee  |D Laura  |u Department of Economics, Tufts University, 02155, Medford, MA, USA  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Experimental Economics  |d Springer US; http://www.springer-ny.com  |g 18/1(2015-03-01), 154-171  |x 1386-4157  |q 18:1<154  |1 2015  |2 18  |o 10683