IDEAS home Printed from https://ideas.repec.org/p/sce/scecfa/35.html
   My bibliography  Save this paper

Teaching Computational Economics

Author

Listed:
  • Viktor Winschel

    () (Economics University of Mannheim)

  • Alexander Ludwig

    (University of Mannheim)

Abstract

We provide a computational economics seminar at the University of Mannheim since two years. An introduction to numerics is given in around six sessions where we present the first six technical chapters of Miranda/Fackler: Applied Computational Economics and Finance (linear and nonlinear systems, integration, approximation, optimization). Afterwards the students choose a topic and write a short paper about it within six weeks. The two general directions are numerics and economics. The numerical papers are usually about programming some numerical methods and discussing their properties (e.g. polynomial vs. finite element approximation for smooth and unsmooth functions). The economic papers are usually less concerned about programming and often use the CompEcon Matlab toolbox accompanying the book of Miranda/Fackler to discuss an economic model (e.g. approximation errors of linearized, certainty equivalent policies in a standard dynamic model). Our experience is that it is much easier to understand numerical methods when algorithms are presented together with the code implementing them. Therefore we also provide an introduction to Matlab at the beginning of the seminar and try to review code examples during the six technical sessions

Suggested Citation

  • Viktor Winschel & Alexander Ludwig, 2006. "Teaching Computational Economics," Computing in Economics and Finance 2006 35, Society for Computational Economics.
  • Handle: RePEc:sce:scecfa:35
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Education; Numerics; Computational Economics;

    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:sce:scecfa:35. 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: (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/sceeeea.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.

    We have no 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.

    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.