EconPapers    
Economics at your fingertips  
 

Comment on "Why and When 'Flawed' Social Network Analyses Still Yield Valid Tests of no Contagion"

Shalizi Cosma Rohilla
Additional contact information
Shalizi Cosma Rohilla: Carnegie Mellon University

Statistics, Politics and Policy, 2012, vol. 3, issue 1, 5

Abstract: VanderWeele et al.'s paper is a useful contribution to the on-going scientific conversation about the detection of contagion from purely observational data. It is especially helpful as a corrective to some of the more extreme statements of Lyons (2011). Unfortunately, this paper, too, goes too far in some places, and so needs some correction itself.

Keywords: social networks; causal inference; contagion; social influence (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/2151-7509.1053 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

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:bpj:statpp:v:3:y:2012:i:1:p:5:n:6

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/spp/html

DOI: 10.1515/2151-7509.1053

Access Statistics for this article

Statistics, Politics and Policy is currently edited by Joel A. Middleton

More articles in Statistics, Politics and Policy from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:statpp:v:3:y:2012:i:1:p:5:n:6