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The study of European Union (EU) decision-making speed holds both substantive and theoretical importance.Substantively, it helps identify which factors produce or avert legislative paralysis, an insight that is a necessary precondition for informed debate about potential EU institutional reforms.Indeed, I entered this field in 1994 while at the European University Institute in Florence to test whether the reforms contained in the famous 1987 Single European Act (SEA) had unblocked and expedited legislation.Theoretically, the study of EU decision-making speed helps us assess the utility of the tools we use to understand the EU, such as coalition and spatial models that emphasize formal rules, as well as deliberative and constructivist approaches that privilege informal norms.As more people gravitated to the study of EU decision-making speed, survival analysis rightly became their method of choice.In a recent article (Golub, 2007), I defended three claims about survival analysis and EU decision-making: first, that all previous survival studies on the topic, including two of my own, suffer from methodological problems that render their findings unreliable; second, that researchers should apply a particular form of survival analysis, a Cox model that accounts for state changes in the data -by using time-varying covariates (TVCs) -and non-proportional covariate effects; third, that we should apply this methodologically superior approach to my 2002 TVC-coded data set of Directives.The purpose of this forum was to subject my three claims to scrutiny and identify ways to modify and extend them.Thomas König, the author of two studies I discuss in my article, was invited to defend his previous methodological choices and to re-analyse his data in light of my criticisms (König, 2008).
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