A Theory of Religious Affiliation
Prosper Raynold ()
Additional contact information
Prosper Raynold: Department of Economics, Farmer School of Business, Miami University, 800 E. High Street, Oxford, OH 45056, USA
Journal of Economics, Management and Religion (JEMAR), 2022, vol. 03, issue 01, 1-39
Abstract:
This paper develops a theory of religious affiliation within a framework in which religious denominations are faith intermediaries and in which risk-averse laypeople consider both religious rewards and risks in making affiliation decisions. Necessary and sufficient conditions for laypeople to affiliate with denominations suggest that their perceptions of denominational trustworthiness and of the combination of risk and return implicit in the doctrinal paths denominations prescribe, are key determinants. As such, denominations use doctrinal innovation to manage their affiliations. Overall, the theory is consistent with key empirical facts and yields testable implications on both aggregate and cross-denominational variation in religious affiliation.
Keywords: Doctrinal prescription; commitment inducement; religious affiliation; faith intermediaries; religious risk (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S2737436X22500042
Access to full text is restricted to subscribers
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:wsi:jemarx:v:03:y:2022:i:01:n:s2737436x22500042
Ordering information: This journal article can be ordered from
DOI: 10.1142/S2737436X22500042
Access Statistics for this article
Journal of Economics, Management and Religion (JEMAR) is currently edited by Robert M. Sauer
More articles in Journal of Economics, Management and Religion (JEMAR) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().