Home  |  Browse  |  Authors  |  Advanced Search  |  Help
Login | Create Account
Ania, Ana B. and Wagener, Andreas (23. November 2009): The Open Method of Coordination (OMC) as an Evolutionary Learning Process. Discussion Papers in Economics 2009-18

Metadaten exportieren

Autor(en) recherchieren

Lesezeichen anlegen

This is the latest version of this item.

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Reader
331Kb

Abstract

We interpret the Open Method of Coordination (OMC), recently adopted by the EU as a mode of governance in the area of social policy and other fields, as an imitative learning dynamics of the type considered in evolutionary game theory. The best-practise feature and the iterative design of the OMC correspond to the behavioral rule "imitate the best." In a redistribution game with utilitarian governments and mobile welfare beneficiaries, we compare the outcomes of imitative behavior (long-run evolutionary equilibrium), decentralized best-response behavior (Nash equilibrium), and coordinated policies. The main result is that the OMC allows policy coordination on a strict subset of the set of Nash equilibria, favoring in particular coordination on intermediate values of the policy instrument.

Item Type:Paper (Discussion Paper)
Keywords:Open Method of Coordination, Finite-population Evolutionarily Stable Strategy, Imitation, Mobility, Redistribution.
Subjects:Economics
Economics > Discussion Papers in Economics
Economics > Discussion Papers in Economics > Public Finance
Economics > Discussion Papers in Economics > Game Theory
Dewey Classification:300 Social sciences
300 Social sciences > 330 Wirtschaft
Journal of Economic Literature classification:H77, H75, C73, I38
URN:urn:nbn:de:bvb:19-epub-11109-8
Language:English
ID Code:11109
Deposited On:23. Nov 2009 13:59
Last Modified:28. Jun 2010 15:34

Available Versions of this Item

Open Access LMU is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software creditsAbout