Sender-Receiver Games with Endogenous Ex-Post Information Acquisition: Experimental Evidence
Anders Poulsen () and
Graciela Zevallos-Porles
Additional contact information
Graciela Zevallos-Porles: University of East Anglia
No 19-04, Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) from School of Economics, University of East Anglia, Norwich, UK.
Abstract:
We study the effects of endogenous ex-post information acquisition on lying behavior and beliefs in a Sender-Receiver game. After choosing an action, the Receiver can decide to find out if the Sender lied or not. We observe that a significant proportion of Receivers decide to become informed, even when this information is costly. There is, however, no impact of the option of information acquisition on Sender behavior, and no evidence of Senders being shame averse.
Keywords: Sender-Receiver Games; Endogenous Ex-Post Information Acquisition; Shame Aversion (search for similar items in EconPapers)
Date: 2019-11
New Economics Papers: this item is included in nep-exp, nep-gth and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ueaeco.github.io/working-papers/papers/cbess/UEA-CBESS-19-04.pdf main text (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:uea:wcbess:19-04
Ordering information: This working paper can be ordered from
Reception, School of Economics, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
Access Statistics for this paper
More papers in Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) from School of Economics, University of East Anglia, Norwich, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Cara Liggins ().