This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Doing Policy In The Lab! Options For The Future Use Of Model-Based Policy Analysis For Complex Decision-Making

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Happe, Kathrin
Balmann, Alfons

Additional information is available for the following registered author(s):

Abstract

For models to have an impact on policy-making, they need to be used. Exploring the relationships between policy models, model uptake and policy dynamics is the core of this article. What particular role can policy models play in the analysis and design of policies? Which factors facilitate (inhibit) the uptake of models by policy-makers? What are possible pathways to further develop modelling approaches to better meet the challenges facing agriculture today? In this paper, we address these issues from three different points of view, each of which should shed some light on the subject. The first point of view discusses models in the framework of complex adaptive systems and uncertainty. The second point of view looks at the dynamic interplay between policies and models using the example of modelling in agricultural economics. The third point of view addresses conditions for a successful application of models in policy analysis.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://purl.umn.edu/6588
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by European Association of Agricultural Economists in its series 107th Seminar, January 30-February 1, 2008, Sevilla, Spain with number 6588.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 2008
Date of revision:
Handle: RePEc:ags:eaa107:6588

Contact details of provider:
Email:
Web page: http://www.eaae.org
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (AgEcon Search).

Related research
Keywords: modelling; complexity; participatory modelling; policy analysis; model use; Agricultural and Food Policy; Research Methods/ Statistical Methods;

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Tesfatsion, Leigh S., 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Staff General Research Papers 12514, Iowa State University, Department of Economics. [Downloadable!]
    Other versions:
  2. David Colander, 2005. "What Economists Teach and What Economists Do," Journal of Economic Education, Helen Dwight Reid Foundation, vol. 36(3), pages 249-260. [Downloadable!]
  3. David Colander, 2003. "Muddling Through and Policy Analysis," Middlebury College Working Paper Series 0317, Middlebury College, Department of Economics. [Downloadable!]
  4. Olivier Barreteau & Christophe Le Page & Patrick D'Aquino, 2003. "Role-Playing Games, Models and Negotiation Processes," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6. [Downloadable!]
  5. Janssen, Marco A. & Ostrom, Elinor, 2006. "Governing Social-Ecological Systems," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 30, pages 1465-1509 Elsevier. [Downloadable!] (restricted)
  6. Gordon C. Rausser & Richard E. Just, 1981. "Principles of policy modeling in agriculture," Proceedings, Federal Reserve Bank of Kansas City, pages 139-178.
  7. David Colander, 2000. "New Millennium Economics: How Did It Get This Way, and What Way Is It?," Journal of Economic Perspectives, American Economic Association, vol. 14(1), pages 121-132, Winter. [Downloadable!] (restricted)
  8. Geurts, Jac. L. A. & Joldersma, Cisca, 2001. "Methodology for participatory policy analysis," European Journal of Operational Research, Elsevier, vol. 128(2), pages 300-310, January. [Downloadable!] (restricted)
  9. M Duijn & L.H Immers & F.A Waaldijk & H.J. Stoelhorst, 2003. "Gaming Approach Route 26: a Combination of Computer Simulation, Design Tools and Social Interaction," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6. [Downloadable!]
  10. Ana Maria Ramanath & Nigel Gilbert, 2004. "The Design of Participatory Agent-Based Social Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7. [Downloadable!]
  11. Happe, Kathrin, 2004. "Agricultural policies and farm structures - Agent-based modelling and application to EU-policy reform," Studies on the Agricultural and Food Sector in Central and Eastern Europe 14945, Institute of Agricultural Development in Central and Eastern Europe (IAMO). [Downloadable!]
Full references

Statistics
Access and download statistics

Did you know? You can use IDEAS to provide links to papers and articles in your course syllabus.

This page was last updated on 2009-11-26.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.