Replication data for Katz-Mair (1992) 'Party organizational data'

Abstract

Katz-Mair Party Organizational Data are the data-set in the form of Excel and PDF files from the volume Party Organizations: A Data Handbook on Party Organizations in Western Democracies, 1960-90, edited by Richard S Katz and Peter Mair, and originally published by Sage (London) in 1992. The data cover various aspects of party organizational development from the 1960s through to the end of the 1980s, including for each party in each country (and for the European Community party federations, where relevant) the membership levels; the qualifications, obligations, and rights of membership; the number of basic units or branches; number of paid employees; the organization of the national executive and national congress; the membership and function of these bodies; rules about candidate selection and gender representation; party finance, including sources of income and target of expenditure, as well as the rules regarding public subventions to parties. The data are reproduced here on a non-exclusive basis as a still relevant resource for comparative party research, and as a way of encouraging scholars in the field to contribute to the eventual extension and updating of the figures. The countries included in the original data set, with the original authors of the data collection and analysis also indicated, are Austria (Wolfgang C. Müller); Belgium (Kris Deschouwer); Denmark (Lars Bille); Finland (Jan Sundberg and Christel Gyllig); Germany (Thomas Poguntke and Bernhard Boll); Ireland (David M. Farrell); Italy (Luciano Bardi and Leonardo Morlino); The Netherlands (Ruud Koole and Hella van der Velde); Norway (Lars Svǻsand); Sweden (Jon Pierre and Anders Widfeldt); United Kingdom (Paul D. Webb). At a later stage we also hope to add the data for the United States (Robin Kolodny and Richard S. Katz) and for the Transnational Federations in the European Community (Luciano Bardi), both cases having been included in the original volume. OPPR and EUDO are grateful to Ken Janda for his work in preparing these data in this format.