New Regression Models with Egocentric Social Network Data: An analysis of political party preference in Japan
AbstractThis paper introduces some regression models for a categorical dependent variable with data from egocentric social networks as covariates to analyze the determinants of the outcome for the subject and those of the extent of agreement or disagreement between the outcomes for the subject and the persons to whom he/she is directly connected. The merits of those models are their wide applicability to surveys that collect data on egocentric social networks and their capacity to identify the determinants of agreement between the subject's and his/her friends' attitudinal or behavioral outcomes, controlling for the tendency to agree due to homophily in the choice of friends. An illustrative application using data from the 2004 Japanese General Social Survey shows that several substantively distinct characteristics of egocentric networks affect the subject's political party preference and the extent of agreement in the preference between the subject and that of his/her significant others.
Download InfoIf 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.
Bibliographic InfoPaper provided by Research Institute of Economy, Trade and Industry (RIETI) in its series Discussion papers with number 12048.
Length: 47 pages
Date of creation: Jul 2012
Date of revision:
Contact details of provider:
Postal: 11th floor, Annex, Ministry of Economy, Trade and Industry (METI) 1-3-1, Kasumigaseki Chiyoda-ku, Tokyo, 100-8901
Web page: http://www.rieti.go.jp/
More information through EDIRC
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-07-29 (All new papers)
- NEP-POL-2012-07-29 (Positive Political Economics)
- NEP-SOC-2012-07-29 (Social Norms & Social Capital)
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (NUKATANI Sorahiko).
If references are entirely missing, you can add them using this form.