IDEAS home Printed from https://ideas.repec.org/p/cri/cespri/kites14_wp.html
   My bibliography  Save this paper

Methodological Issues and Models in 'History Friendly' Simulations

Author

Listed:
  • Christian Garavaglia

    (KITeS, Universita' Bocconi, Milano, Italy - University of Milano-Bicocca, Faculty of Statistics, Milan, Italy)

Abstract

Simulation techniques have proliferated a lot in the last years. In economics the industrial dynamics approach makes use of simulation techniques to understand the complexity of the industrial process of continuous change. Among these models, a new branch of studies called “History-friendly” models aims at establishing a close link between formal theory, developing stand-alone theoretical simulation models, and empirical evidence, as it stems from a rigorous study of the economic environment under exam. The paper aims to give a methodological contribution to the “History-friendly” methodology. We discuss the flexibility of simulation techniques in representing complex environments. We analyse the relationship between empirical evidence and the implementation of the simulation model. We study “History-friendly” analyses and counterfactuals. A contribution to define the role of “History-friendly” models in the debate about empirical validation of simulations is given. Finally, some examples of “History-friendly” models are examined.

Suggested Citation

  • Christian Garavaglia, 2009. "Methodological Issues and Models in 'History Friendly' Simulations," KITeS Working Papers 014, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Jan 2009.
    • Handle: RePEc:cri:cespri:kites14_wp
    as

    Download full text from publisher

    File URL: ftp://ftp.unibocconi.it/pub/RePEc/cri/papers/KitesWP14.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Simulation; Industrial dynamics; “History Friendly” models; Methodology; Complexity;
    All these keywords.

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other
    • B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;

    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:cri:cespri:kites14_wp. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valerio Sterzi (email available below). General contact details of provider: http://www.kites.unibocconi.it/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.