Advanced Search
MyIDEAS: Login

Solving Dynamic Models with Heterogeneous Agents and Aggregate Uncertainty with Dynare or Dynare++

Contents:

Author Info

  • Wouter J. DEN HAAN

    (University of Amsterdam and CEPR)

Registered author(s):

    Abstract

    uncertainty can be solved using Dynare or Dynare++ software that implements a perturbation approach. When the explicit aggregation algorithm (XPA) is used to obtain aggregate laws of motion, this can be accomplished by combining a Dynare program with a very simple Matlab program. When the Krusell-Smith algorithm is used, then the Matlab program needed is somewhat more involved, but still relatively simple. We calculate and compare first and second-order numerical solutions using both algorithms. These numerical procedures are also compared with the algorithm that solves the individual policy rules with a projection instead of a perturbation procedure. Finally, we discuss a procedure that efficiently chooses which cross-sectional moments to include as aggregate state variables when nonlinearities are important and the mean is not a sufficient statistic.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. 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://www.economicdynamics.org/meetpapers/2009/paper_776.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by Society for Economic Dynamics in its series 2009 Meeting Papers with number 776.

    as in new window
    Length:
    Date of creation: 2009
    Date of revision:
    Handle: RePEc:red:sed009:776

    Contact details of provider:
    Postal: Society for Economic Dynamics Christian Zimmermann Economic Research Federal Reserve Bank of St. Louis PO Box 442 St. Louis MO 63166-0442 USA
    Fax: 1-314-444-8731
    Email:
    Web page: http://www.EconomicDynamics.org/society.htm
    More information through EDIRC

    Related research

    Keywords:

    References

    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.:
    as in new window
    1. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, January.
    2. Kim, Sunghyun Henry & Kollmann, Robert & Kim, Jinill, 2010. "Solving the incomplete market model with aggregate uncertainty using a perturbation method," Journal of Economic Dynamics and Control, Elsevier, vol. 34(1), pages 50-58, January.
    3. Bruce Preston & Mauro Roca, 2007. "Incomplete Markets, Heterogeneity and Macroeconomic Dynamics," NBER Working Papers 13260, National Bureau of Economic Research, Inc.
    4. Per Krusell & Anthony A. Smith & Jr., 1998. "Income and Wealth Heterogeneity in the Macroeconomy," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 867-896, October.
    5. Den Haan, Wouter J. & Rendahl, Pontus, 2010. "Solving the incomplete markets model with aggregate uncertainty using explicit aggregation," Journal of Economic Dynamics and Control, Elsevier, vol. 34(1), pages 69-78, January.
    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 in new window

    Cited by:
    1. Caterina Mendicino, 2011. "On the amplification role of collateral constraints," Working Papers w201115, Banco de Portugal, Economics and Research Department.
    2. Luisa Lambertini & Caterina Mendicino & Maria Teresa Punzi, 2011. "Leaning Against Boom-Bust Cycles in Credit and Housing Prices," Working Papers 201101, Center for Fiscal Policy, Swiss Federal Institute of Technology Lausanne, revised Mar 2011.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:red:sed009:776. 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: (Christian Zimmermann).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.