Dear network colleagues,

I would like to ask your advice on the best way to compare policy networks
in three countries.  (Based on the data collected in my earlier work with
Knoke, Pappi, etc.)

I am trying to compare the effect of a network of expected reciprocity
("social capital") among 100+ political actors (organizations) in each of
three countries (Japan, the US and Germany) upon the political influence of
the actors (in each country seperately).  I have other measures, such as
other types of networks, organizational characteristics, actual
participation and success in poltical events, faction memberships, and other
data to use as controls in each country.

My basic question is, in this kind of case, in general, is comparing three
multiple regression models (one for each country) with "influence" as the
dependent variable the best statistical approach to use in this case?  Or
would you suggest something else?

Thanks very much for considering my request.
Yours
Jeff

Jeffrey Broadbent
Department of Sociology
909 Social Science Building
University of Minnesota
267 19th Avenue South
Minneapolis, Minnesota
USA  55455-0412
Telephone: 612-624-1828
Fax: 612-624-7020
Email: [log in to unmask]
Webpage: www.soc.umn.edu/people/broadben.htm
Multilingual webpage: www.soc.umn.edu/~broadbnt
Paper online -- "The Japanese Network State . .":
    www.soc.umn.edu/research/broadnet.pdf
Japanese Womens' Status and Identity Workshop: summaries in Japanese
     http://www.soc.umn.edu/~broadbnt/Sum.htm