IDEAS home Printed from https://ideas.repec.org/p/ags/eaae05/24464.html
   My bibliography  Save this paper

Agent-Based Modelling and Sensitivity Analysis by Experimental Design and Metamodelling: An Application to Modelling Regional Structural Change

Author

Listed:
  • Happe, Kathrin

Abstract

This paper presents the application of the sensitivity analysis techniques Design of Experiments (DOE) and metamodelling to the agent-based model AgriPoliS, which is a spatial and dynamic simulation model of regional structural change. DOE and metamodelling provide a more systematic analysis of results of complex simulation models. When summarising the results, it becomes clear that interest rates, technical change and managerial ability influence average economic land rent the most.

Suggested Citation

  • Happe, Kathrin, 2005. "Agent-Based Modelling and Sensitivity Analysis by Experimental Design and Metamodelling: An Application to Modelling Regional Structural Change," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24464, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae05:24464
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/24464
    Download Restriction: no

    References listed on IDEAS

    as
    1. Kleijnen, J.P.C., 1999. "Validation of models : Statistical techniques and data availability," Other publications TiSEM f2238bd9-e4c9-430a-96f2-a, Tilburg University, School of Economics and Management.
    2. Balmann, Alfons & Happe, Kathrin & Kellermann, Konrad & Kleingarn, Anne, 2001. "Adjustment Costs Of Agri-Environmental Policy Switchings - A Multi-Agent Approach," 2001 Annual meeting, August 5-8, Chicago, IL 20506, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Kleijnen, J.P.C., 1999. "Validation of Models : Statistical Techniques and Data Availability," Discussion Paper 1999-104, Tilburg University, Center for Economic Research.
    4. Happe, Kathrin & Balmann, Alfons & Kellermann, Konrad, 2004. "The agricultural policy simulator (AgriPoliS): an agent-based model to study structural change in agriculture (Version 1.0)," IAMO Discussion Papers 71, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    5. Balmann, Alfons, 1997. "Farm-Based Modelling of Regional Structural Change: A Cellular Automata Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 24(1), pages 85-108.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yıldızoğlu, Murat & Sénégas, Marc-Alexandre & Salle, Isabelle & Zumpe, Martin, 2014. "Learning The Optimal Buffer-Stock Consumption Rule Of Carroll," Macroeconomic Dynamics, Cambridge University Press, vol. 18(04), pages 727-752, June.
    2. repec:eee:ecomod:v:248:y:2013:i:c:p:11-19 is not listed on IDEAS
    3. repec:eee:reensy:v:118:y:2013:i:c:p:8-17 is not listed on IDEAS
    4. Jakob Grazzini & Matteo G. Richiardi & Lisa Sella, 2013. "Analysis of Agent-based Models," LABORatorio R. Revelli Working Papers Series 135, LABORatorio R. Revelli, Centre for Employment Studies.
    5. Grazzini,Jakob & Richiardi, Matteo & Sella, Lisa, 2013. "Is there a Double-Negative Effect? Gender and Ethnic Wage Differentials," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201352, University of Turin.
    6. repec:eee:ecomod:v:222:y:2011:i:19:p:3486-3499 is not listed on IDEAS

    More about this item

    Keywords

    simulation; design of experiments; metamodelling; structural change; Research and Development/Tech Change/Emerging Technologies; C9; C15;

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:eaae05:24464. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/eaaeeea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.