Religion and Labor: An Examination of Religious Service Attendance and Unemployment Using Count Data Methods

Neil Meredith ()

Eastern Economic Journal, 2017, vol. 43, issue 3, No 5, 471 pages

Abstract: Abstract I use count data estimation with data from the National Longitudinal Survey of Youth 1979 (NLSY79) cohort and the Health and Retirement Study (HRS) to evaluate the relationship between unemployment and the frequency of religious service attendance for individuals of working age. Empirical results for unemployed men and unemployed women in the NLSY79 show that religious service attendance is 22 percent lower and 72 percent higher, respectively, relative to employed men and employed women, respectively. Results for individuals in the HRS indicate that unemployed men and unemployed women attend religious services 18 percent less and 16 percent more frequently, respectively, relative to employed counterparts. There are no additional significant correlations for time spent unemployed.

Keywords: unemployment; religion; count data; E24; Z12 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1057/eej.2015.54 Abstract (text/html)
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:pal:easeco:v:43:y:2017:i:3:d:10.1057_eej.2015.54

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/41302

DOI: 10.1057/eej.2015.54

Access Statistics for this article

Eastern Economic Journal is currently edited by Allan Zebedee and Cynthia Bansak

More articles in Eastern Economic Journal from Palgrave Macmillan, Eastern Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().