Comparative state policy studies have traditionally relied on one of t
hree explanations of policy influence, classified here as the economic
, political, and group influence models. Each of these traditional mod
els, however, provides a narrow and biased representation of the polic
y process. Moreover, the single-equation, multiple regression format m
ost often used to operationalize these models can lead to misrepresent
ations of the influences surrounding policy-making. In this article, a
n integrated model of the policy process is developed and operationali
zed as an alternative to these partial theories of state policy-making
. Through theoretical discussion and empirical evaluation, this integr
ated model is demonstrated as superior to the traditional models when
analyzing the strength of state air pollution control