UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Modeling Fuzzy Fidelity: Using Microsimulation to Explore Age, Period, and Cohort Effects in Secularization

Puga-Gonzalez, Ivan; Voas, David; Kiszkiel, Lukasz; Bacon, Rachel J; Wildman, Wesley J; Talmont-Kaminski, Konrad; Shults, F LeRon; (2022) Modeling Fuzzy Fidelity: Using Microsimulation to Explore Age, Period, and Cohort Effects in Secularization. Journal of Religion and Demography , 9 (1-2) pp. 111-137. 10.1163/2589742x-bja10012. Green open access

[thumbnail of 20220531 RIP-MIC-JRD MAIN MS - R1 FINAL.pdf]
Preview
Text
20220531 RIP-MIC-JRD MAIN MS - R1 FINAL.pdf

Download (1MB) | Preview

Abstract

This article presents a microsimulation that explores age, period, and cohort effects in the decline of religiosity in contemporary societies. The model implements a well-known and previously empirically validated theory of secularization that highlights the role of “fuzzy fidelity,” i.e., the percentage of a population whose religiosity is moderate (Voas 2009). Validation of the model involved comparing its simulation results to shifts in religiosity over 9 waves of the European Social Survey. Simulation experiments suggest that a cohort effect, based on weakened transmission of religiosity as a function of the social environment, appears to be the best explanation for secularization in the societies studied, both for the population as a whole and for the proportions of religious, fuzzy, and secular people.

Type: Article
Title: Modeling Fuzzy Fidelity: Using Microsimulation to Explore Age, Period, and Cohort Effects in Secularization
Open access status: An open access version is available from UCL Discovery
DOI: 10.1163/2589742x-bja10012
Publisher version: https://doi.org/10.1163/2589742x-bja10012
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Demographic projection; religiosity; secularization; microsimulation; cohort effects
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Social Research Institute
URI: https://discovery.ucl.ac.uk/id/eprint/10163198
Downloads since deposit
Loading...
130Downloads
Download activity - last month
Loading...
Download activity - last 12 months
Loading...
Downloads by country - last 12 months
1.Poland
10
2.Germany
5
3.United States
5
4.United Kingdom
4
5.Norway
3
6.Finland
2
7.Russian Federation
2
8.Italy
2
9.Hong Kong
2
10.Portugal
1

Archive Staff Only

View Item View Item