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Survival Analysis and European Union Decision-making
[Zeitschriftenartikel]
Abstract Practitioners as well as scholars of European integration have for decades debated why it takes so long for the European Union (EU) to adopt legislation and how to improve decision-making efficiency. Four studies have investigated decision-making speed using survival analysis, a particularly appropr... mehr
Practitioners as well as scholars of European integration have for decades debated why it takes so long for the European Union (EU) to adopt legislation and how to improve decision-making efficiency. Four studies have investigated decision-making speed using survival analysis, a particularly appropriate quantitative technique. In this paper I show that all four studies suffer from serious methodological problems that render their conclusions unreliable. I then outline where work in this area should focus, and take an initial step in this direction by fitting a methodologically more appropriate survival model to my 2002 EU decision-making data set (Golub, 2002). Substantively, the results indicate that throughout the EU's history, for the most important types of legislation, qualified majority voting (QMV) and EU enlargement have increased decision-making speed, whereas empowerment of the European Parliament and extreme preference heterogeneity amongst decision-makers have decreased it. Theoretically, formal approaches — spatial models and especially coalition theory — do a better job of explaining these results than do perspectives that privilege informal norms.... weniger
Klassifikation
politische Willensbildung, politische Soziologie, politische Kultur
Europapolitik
Freie Schlagwörter
decision-making; European Union; institutional rules; survival analysis;
Sprache Dokument
Englisch
Publikationsjahr
2007
Seitenangabe
S. 155-179
Zeitschriftentitel
European Union Politics, 8 (2007) 2
DOI
https://doi.org/10.1177/1465116507076428
Status
Postprint; begutachtet (peer reviewed)
Lizenz
PEER Licence Agreement (applicable only to documents from PEER project)