IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Quem acredita em Deus? testando o modelo de Durkin e Greeley de escolha racional envolvendo incerteza
[Who believes in God? testing the model's Durkin and Greeley to Brazil]

  • Oliveira, Livio Luiz Soares de
  • Neto, Giácomo Balbinotto
  • Cortes, Renan Xavier
  • Schmidt, Lucas

One of the most important models of rational choice to religion is the one presented by Durkin and Greeley. The authors base the problem of uncertainty of religious choice in Pascal's wager as a problem of maximizing expected utility and faith as an insurance In this paper, we test the hypotheses of the model with research data on the frequency of religious Religion Project Brazil 2002. Two dependent variables were used in the tests: attendance and religious faith. Both were positively influenced by the age of individuals and the fact that both spouses have the same religion. The religious attendance was positively correlated with belief in God, with belief in the afterlife, with religious attendance of theirs parents, and to remain in the religion of origin

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: https://mpra.ub.uni-muenchen.de/45091/1/MPRA_paper_45091.pdf
File Function: original version
Download Restriction: no

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 45091.

as
in new window

Length:
Date of creation: 14 Feb 2013
Date of revision:
Handle: RePEc:pra:mprapa:45091
Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: https://mpra.ub.uni-muenchen.de

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Azzi, Corry & Ehrenberg, Ronald G, 1975. "Household Allocation of Time and Church Attendance," Journal of Political Economy, University of Chicago Press, vol. 83(1), pages 27-56, February.
  2. Ekelund, Robert Jr. & Hebert, Robert F. & Tollison, Robert D., 1992. "The economics of sin and redemption : Purgatory as a market-pull innovation?," Journal of Economic Behavior & Organization, Elsevier, vol. 19(1), pages 1-15, September.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:45091. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.