Abstract
Spence’s theory of signaling shows that signals can resolve adverse selections in job markets. Instead of signals, I consider what Spence calls indices and show that if the costs of knowing the indices are not nil, they could play the role of resolving adverse selection in sequential Bayesian games. I also show that by incorporating costs that are measured by the mutual information of indices, adverse selection can be resolved if the costs fall within a certain range.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.