Scholars are beginning to consider how state campaign finance regulation influences political behavior and elections, but they lack the systematic measure of these regulations needed to do so. This article describes a simple measure of state campaign finance regulation stringency that is based on state statutes in 2002. Further, this article explains the construction of the measure and assesses its validity and reliability. The index generally confirms qualitative assessments of state campaign finance regulation, and it is correlated with measures of related aspects of state campaign finance regulation, campaign spending, and fundraising.

Since 1990, the standard statistical approach for studying state policy adoption has been an event history analysis using binary link models, such as logit or probit. In this article, we evaluate this logit-probit approach and consider some alternative strategies for state policy adoption research. In particular, we discuss the Cox model, which avoids the need to parameterize the baseline hazard function and, therefore, is often preferable to the logit-probit approach. Furthermore, we demonstrate how the Cox model can be modified to deal effectively with repeatable and competing events, events that the logit-probit approach cannot be used to model.