Measuring interest group influence using quantitative text analysis

European Union Politics

Volumn 10, Issue 4, 2009, Pages 535-549

  Klüver, Heike ^a  

^a UNIVERSITY OF MANNHEIM   (Germany)

Author keywords

Influence; Interest groups; Quantitative text analysis; Wordfish; WORDSCORES

Indexed keywords

EID: 70449779362     PISSN: 14651165     EISSN: 17412757     Source Type: Journal    
DOI: 10.1177/1465116509346782     Document Type: Article

References (19)

1. Baumgartner, Frank R., Jeffrey M. Berry, Marie Hojnacki, David C. Kimball and Beth Leech (2009) Lobbying and Policy Change: Who Wins, Who Loses, and Why. Chicago: University of Chicago Press.
2. Benoit, Kenneth and Michael Laver (2003) Extracting Policy Positions from Political Texts Using Phrases As Data: A Research Note, paper presented at the annual meeting of the Midwest Political Science Association, 3-6 April, Chicago.
3. Benoit, Kenneth, Michael Laver, Christine Arnold, Paul Pennings and Madeleine O. Hosli (2005) Measuring National Delegate Positions at the Convention on the Future of Europe Using Computerized Word Scoring, European Union Politics 6(3): 291-313.
4. Budge, Ian and Judith Bara (2001) Introduction: Content Analysis and Political Texts, in Ian Budge, Hans-Dieter Klingemann, Andrea Volkens, Judith Bara and Eric Tanenbaum (eds) Mapping Policy Preferences: Estimates for Parties, Electors, and Governments 1945-1998, pp. 1-16. Oxford: Oxford University Press.
5. Budge, Ian, Hans-Dieter Klingemann, Andrea Volkens, Judith Bara and Eric Tanenbaum (2001) Mapping Policy Preferences: Estimates for Parties, Electors, and Governments 1945-1998. Oxford: Oxford University Press.
6. Dür, Andreas (2008) Measuring Interest Group Influence in the EU: A Note on Methodology, European Union Politics 9(4): 559-76.
7. Dür, Andreas and Dirk de Bièvre (2007) Inclusion without Influence? NGOs in European Trade Policy, Journal of Public Policy 27(1): 79-101.
8. Klingemann, Hans-Dieter, Andrea Volkens, Judith Bara, Ian Budge and Michael D. McDonald (2006) Mapping Policy Preferences II: Estimates for Parties, Electors, and Governments in Eastern Europe, European Union, and OECD 1990-2003. Oxford: Oxford University Press.
9. Laver, Michael, Kenneth Benoit and John Garry (2003) Extracting Policy Positions from Political Texts Using Words as Data, American Political Science Review 97(2): 311-31.
10. Lowe, Will (2008) Understanding Wordscores, Political Analysis 16(4): 356-71.
11. Mahoney, Christine (2007) 'Lobbying Success in the United States and the European Union', Journal of Public Policy 27(1): 35-56.
12. Mahoney, Christine (2008) Brussels versus the Beltway: Advocacy in the United States and the European Union. Washington, DC: Georgetown University Press.
13. Michalowitz, Irina (2007) What Determines Influence? Assessing Conditions for Decision-Making Influence of Interest Groups in the EU, Journal of European Public Policy 14(1): 132-51.
14. Mikhaylov, Slava, Michael Laver and Kenneth Benoit (2008) Coder Reliability and Misclassification in Comparative Manifesto Project Codings, paper presented at the annual meeting of the Midwest Political Science Association, 3-6 April, Chicago.
15. Pappi, Franz U. and Christian H. C. A. Henning (1999) The Organization of Influence on the EC's Common Agricultural Policy: A Network Approach, European Journal of Political Research 36(2): 257-81.
16. Proksch, Sven-Oliver and Jonathan B. Slapin (2008) WORDFISH: Scaling Software for Estimating Political Positions from Texts, Version 1.2, URL (consulted Sept. 2008): http://www.wordfish.org.
17. Schneider, Gerald, Daniel Finke and Konstantin Baltz (2007) With a Little Help from Your State - Interest Intermediation in the Pre-Negotiations of EU Legislation, Journal of European Public Policy 14(3): 444-59.
18. Slapin, Jonathan B. and Sven-Oliver Proksch (2008) A Scaling Model for Estimating Time-Series Party Positions from Texts, American Journal of Political Science 52(3): 705-22.
19. Woll, Cornelia (2007) Leading the Dance? Power and Political Resources of Business Lobbyists, Journal of Public Policy 27(1): 57-78.