EconPapers    
Economics at your fingertips  
 

Policy Innovation, Decentralised Experimentation, and Laboratory Federalism

Nicole J. Saam () and Wolfgang Kerber ()
Additional contact information
Nicole J. Saam: http://www.soziologie.phil.uni-erlangen.de/team/saam

Journal of Artificial Societies and Social Simulation, 2013, vol. 16, issue 1, 7

Abstract: Decentralised experimentation and mutual learning of public policies is seen as one of the important advantages of federal systems (Oates: laboratory federalism). Based upon Hayekian ideas of the advantages of decentralised experimentation (as a discovery procedure), we analyse the long-term benefits of parallel experimentation in a federal system from an evolutionary economics perspective. We present a simulation model in which the lower-level jurisdictions in a federal system experiment with randomly chosen policy innovations and can imitate the relatively best solutions. The simulations confirm our hypotheses that a higher degree of decentralisation has positive effects on the long-term accumulation of knowledge of suitable policy solutions and also limits risks through better protection against erroneous policies. Also problems of policy learning and trade offs with (static and dynamic) advantages of centralisation are taken into account.

Keywords: Laboratory Federalism; Policy Learning; Policy Innovation; Decentralisation (search for similar items in EconPapers)
Date: 2013-01-31
References: Add references at CitEc
Citations: View citations in EconPapers (7) Track citations by RSS feed

Downloads: (external link)
http://jasss.soc.surrey.ac.uk/16/1/7/7.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2012-63-2

Access Statistics for this article

More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Bibliographic data for series maintained by Flaminio Squazzoni ().

 
Page updated 2020-09-16
Handle: RePEc:jas:jasssj:2012-63-2