Reward Prediction Error in Online Game Trades

Christoph Safferling

No 2011-31, Working Paper Series of the Department of Economics, University of Konstanz from Department of Economics, University of Konstanz

Abstract: We use trade data from an online game economy to test the 'dopaminergic reward prediction error' (DRPE) hypothesis: upon buying a game item at a price which is obviously too low, a player should become more active in the trading market. We find that players are more willing to buy goods in the in-game market after such an trade incident. Hence, the effect predicted by the DRPE model is visible. Yet, contrary to the prediction of DRPE, the magnitude of the prediction error does not have any effect on the post-error trading activity.

JEL-codes: C99 D01 D12 D87 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2011-09-02
New Economics Papers: this item is included in nep-for
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.uni-konstanz.de/FuF/wiwi/workingpaperse ... ferling(trading).pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:knz:dpteco:1131

Ordering information: This working paper can be ordered from
https://www.wiwi.uni-konstanz.de/en

Access Statistics for this paper

More papers in Working Paper Series of the Department of Economics, University of Konstanz from Department of Economics, University of Konstanz Contact information at EDIRC.
Bibliographic data for series maintained by Office Ursprung ( this e-mail address is bad, please contact ).