EconPapers    
Economics at your fingertips  
 

A Coincidence Analysis of a Causal Chain

Michael Baumgartner and Ruedi Epple

Sociological Methods & Research, 2014, vol. 43, issue 2, 280-312

Abstract: This article applies coincidence analysis ( CNA ), a Boolean method of causal analysis presented in Baumgartner (2009a), to configurational data on the Swiss minaret vote of 2009. CNA is related to qualitative comparative analysis (QCA) (Ragin 2008), but contrary to the latter does not minimize sufficient and necessary conditions by means of Quine–McCluskey optimization, but based on its own custom built optimization algorithm. The latter greatly facilitates the analysis of data featuring chain-like causal dependencies among the conditions of an ultimate outcome—as can be found in the data on the Swiss minaret vote. Apart from providing a model of the causal structure behind the Swiss minaret vote, we show that a CNA of that data is preferable over a QCA.

Keywords: causal modeling; Swiss minaret vote; coincidence analysis (CNA); qualitative comparative analysis (QCA); causal chains (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0049124113502948 (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:somere:v:43:y:2014:i:2:p:280-312

DOI: 10.1177/0049124113502948

Access Statistics for this article

More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:somere:v:43:y:2014:i:2:p:280-312