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Who Learns from What in Policy Diffusion Processes?
Type of publication
Peer-reviewed
Publikationsform
Original article (peer-reviewed)
Author
Gilardi Fabrizio ,
Project
MOSAiCH 2011
Show all
Original article (peer-reviewed)
Journal
American Journal of Political Science
Volume (Issue)
54(3)
Page(s)
650 - 666
Title of proceedings
American Journal of Political Science
DOI
10.1111/j.1540-5907.2010.00452.x
Abstract
The idea that policy makers in different states or countries may learn from one another has fascinated scholars for a long time, but little systematic evidence has been produced so far. This article improves our understanding of this elusive argument by distinguishing between the policy and political consequences of reforms and by emphasizing the conditional nature of learning processes. Using a directed dyadic approach and multilevel methods, the analysis of unemployment benefits retrenchment in {OECD} countries demonstrates that policy makers learn selectively from the experience of others. Right governments tend to be more sensitive to information on the electoral consequences of reforms, while left governments are more likely to be influenced by their policy effects.
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