Accountability and learning with motivated agents
Tinghua Yu
Journal of Theoretical Politics, 2022, vol. 34, issue 2, 313-329
Abstract:
Should accountability be introduced to organizations that are learning about the right policies to achieve their goals? I develop an agency model focusing on the interactions between accountability and an agent’s intrinsic motivation. More effort by the agent leads to more informative policy outcomes and thereby better policy learning. Holding the agent accountable for the policy outcomes motivates the agent and thus improves policy learning. However, by removing the agent from office upon policy failure and thereby taking away his benefit from learning through failure, accountability also discourages the agent. This negative effect is more substantial when the intrinsic motivation is higher. The principal, therefore, refrains from using accountability on the agent who is more intrinsically motivated.
Keywords: Accountability; intrinsic motivation; policy learning (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/09516298211061157 (text/html)
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:sae:jothpo:v:34:y:2022:i:2:p:313-329
DOI: 10.1177/09516298211061157
Access Statistics for this article
More articles in Journal of Theoretical Politics
Bibliographic data for series maintained by SAGE Publications ().