Modeling Regional Effects on State Policy Diffusion

By Christopher Z. Mooney. 2001

394 citations recorded by the source corpus.

Subfields: Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/69b3e32eb8225b9b0f44878fbab27e1bc1f518a3

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In Political Science and International Relations

Citations in the corpus

Horizontal Diffusion, Vertical Diffusion, and Internal Pressure in State Environmental Policymaking, 1989-1998 (2005, background): “Mooney (2001) argues that the impact of diffusion need not be uniformly positive, and he suggests that scholars and researchers need to understand more fully the learning process behind diffusion pressures.”
Estimators of Binary Spatial Autoregressive Models: A Monte Carlo Study (2013, neutral): “different sample sizes: n = 50 and n = 500. The ﬁrst sample size is set because it resembles the number of states in the US, which is a typical application area for studies in policy diffusion (e.g., Mooney, 2001; Volden, 2006; LeSage and Parent, 2007). The larger sample size is added to be able to ”
State Postsecondary Policy Innovation: Politics, Competition, and the Interstate Migration of Policy Ideas (2005, neutral): “An extension of the aforementioned logic of electoral (in)security holds that, “politicians adopt new policies at times within their election cycle that are most advantageous politically” (Berry & Berry, 1992, p.718; see also Berry & Berry, 1999; Mintrom, 1997; Mooney, 2001; Mooney & Lee, 1995).”
Kindred spirits or intergovernmental competition? The innovation and diffusion of energy policies in the American states (1990–2008) (2014, background): “, Berry and Berry 1990) with particular attention to regional effects (Mooney 2001), which explains the occurrence of an event (e.”
Called to Account: Analyzing the Origins and Spread of State Performance-Accountability Policies for Higher Education (2006, background): “Mooney (2001) also found that the early, landmark studies by Berry and Berry (1990, 1992) were biased toward finding a positive diffusion effect because they failed to use time controls to stabilize the hazard rate.”