Policy Diffusion and Telecommunications Regulation Wavre, Veronique Cham, Palgrave Macmillan (2019), 202 p., ISBN 978-3-319-70744-0

2019 ◽  
Vol 25 (1) ◽  
pp. 93-95
Author(s):  
Emmanuelle Mathieu
Keyword(s):  
Policy Diffusion ◽  
Telecommunications Regulation

scholarly journals How do Public Officials Learn About Policy? A Field Experiment on Policy Diffusion

2021 ◽  
pp. 1-8
Author(s):  
Miguel M. Pereira
Keyword(s):  
United States ◽  
Interest Group ◽  
Policy Diffusion ◽  
The United States ◽  
Causal Link ◽  
Policy Learning ◽  
Learning Context ◽  
Public Officials ◽  
Non Profit

Abstract Prior research suggests that partisanship can influence how legislators learn from each other. However, same-party governments are also more likely to share similar issues, ideological preferences and constituency demands. Establishing a causal link between partisanship and policy learning is difficult. In collaboration with a non-profit organization, this study isolates the role of partisanship in a real policy learning context. As part of a campaign promoting a new policy among local representatives in the United States, the study randomized whether the initiative was endorsed by co-partisans, out-partisans or both parties. The results show that representatives are systematically more interested in the same policy when it is endorsed by co-partisans. Bipartisan initiatives also attract less interest than co-partisan policies, and no more interest than out-partisan policies, even in more competitive districts. Together, the results suggest that ideological considerations cannot fully explain partisan-based learning. The study contributes to scholarship on policy diffusion, legislative signaling and interest group access.

The politics of policy diffusion

2019 ◽  
Vol 58 (4) ◽  
pp. 1245-1256 ◽  
Author(s):  
FABRIZIO GILARDI ◽  
FABIO WASSERFALLEN
Keyword(s):  
Policy Diffusion

Policy Diffusion in a Redistributive Policy: Affordable Housing and State Housing Trust Funds

2021 ◽  
pp. 0160323X2110494
Author(s):  
Carla Flink ◽  
Rebecca J. Walter ◽  
Xiaoyang Xu
Keyword(s):  
Affordable Housing ◽  
Event History Analysis ◽  
Policy Diffusion ◽  
State Level ◽  
Housing Affordability ◽  
Housing Investment ◽  
Trust Funds ◽  
History Analysis ◽  
Survival Modeling ◽  
Problem Severity

Diffusion models explore the reasons policies transfer across governments. In this study, we focus on U.S. state level efforts in affordable housing. Drawing predominately from policy diffusion literature, our research examines the determinants of the creation of state Housing Trust Funds (HTFs). We utilize event history analysis with logit regressions and survival modeling to examine how problem severity, neighbor adoption, economic standing, elected leadership, housing investment, and demographics predict state HTF adoption. Results indicate that both problem severity and elected leadership predict the adoption of HTFs. This work improves our understanding of state policy diffusion and efforts in housing affordability.

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