Control without deception: Individual behaviour in free-riding experiments revisited
Control without deception: Individual behaviour in free-riding experiments revisited
Lying to participants offers an experimenter the enticing prospect of making "others' behaviour" a controlled variable, but is eschewed by experimental economists because it may pollute the pool of subjects. This paper proposes and implements a new experimental design, the Conditional Information Lottery, which offers all the benefits of deception without actually deceiving anyone. The design should be suitable for most economics experiments, and works by a modification of an already standard device, the Random Lottery incentive system. The deceptive scenarios of designs which use deceit are replaced with fictitious scenarios, each of which, from a subject's viewpoint, has a chance of being true. The design is implemented in a sequential play public good experiment prompted by Weimann's (1994) result, from a deceptive design, that subjects are more sensitive to free-riding than cooperation on the part of others. The experiment provides similar results to Weimann's, in that subjects are at least as cooperative when uninformed about others' behaviour as they are if reacting to high contributions. No deception is used and the data cohere well both internally and with other public goods experiments. In addition, simultaneous play is found to be more efficient than sequential play, and subjects contribute less at the end of a sequence than at the start. The results suggest pronounced elements of overconfidence, egoism and (biased) reciprocity in behaviour, which may explain decay in contributions in repeated play designs. The experiment shows there is a workable alternative to deception.
experimental economics, deception, reciprocity, public goods
215-240
Bardsley, Nicholas
4cc36030-2783-4def-a06f-9f2aee92663e
2000
Bardsley, Nicholas
4cc36030-2783-4def-a06f-9f2aee92663e
Bardsley, Nicholas
(2000)
Control without deception: Individual behaviour in free-riding experiments revisited.
Experimental Economics, 3 (3), .
(doi:10.1023/A:1011420500828).
Abstract
Lying to participants offers an experimenter the enticing prospect of making "others' behaviour" a controlled variable, but is eschewed by experimental economists because it may pollute the pool of subjects. This paper proposes and implements a new experimental design, the Conditional Information Lottery, which offers all the benefits of deception without actually deceiving anyone. The design should be suitable for most economics experiments, and works by a modification of an already standard device, the Random Lottery incentive system. The deceptive scenarios of designs which use deceit are replaced with fictitious scenarios, each of which, from a subject's viewpoint, has a chance of being true. The design is implemented in a sequential play public good experiment prompted by Weimann's (1994) result, from a deceptive design, that subjects are more sensitive to free-riding than cooperation on the part of others. The experiment provides similar results to Weimann's, in that subjects are at least as cooperative when uninformed about others' behaviour as they are if reacting to high contributions. No deception is used and the data cohere well both internally and with other public goods experiments. In addition, simultaneous play is found to be more efficient than sequential play, and subjects contribute less at the end of a sequence than at the start. The results suggest pronounced elements of overconfidence, egoism and (biased) reciprocity in behaviour, which may explain decay in contributions in repeated play designs. The experiment shows there is a workable alternative to deception.
This record has no associated files available for download.
More information
Published date: 2000
Keywords:
experimental economics, deception, reciprocity, public goods
Identifiers
Local EPrints ID: 42826
URI: http://eprints.soton.ac.uk/id/eprint/42826
ISSN: 1386-4157
PURE UUID: f1de26cc-8d7f-49e9-a5fb-ee44abd37167
Catalogue record
Date deposited: 01 Feb 2007
Last modified: 15 Mar 2024 08:51
Export record
Altmetrics
Contributors
Author:
Nicholas Bardsley
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics