(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/c/dge/qmrbcd/204.html

Envelope Condition Method and Endogenous Grid Method (EGM) for the neoclassical growth model with elastic labor supply in "Envelope Condition Method versus Endogenous Grid Method for Solving Dynamic Programming Problems"

Author

Listed:
  • Lilia Maliar

    (University of Alicante)

  • Serguei Maliar

    (University of Alicante)

Programming Language Matlab Abstract
We introduce an envelope condition method (ECM) for solving dynamic programming problems. The ECM method is simple to implement, dominates conventional value function iteration and is comparable in accuracy and cost to Carroll’s (2005) endogenous grid method. Codes are available.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Lilia Maliar & Serguei Maliar, 2013. "Envelope Condition Method and Endogenous Grid Method (EGM) for the neoclassical growth model with elastic labor supply in "Envelope Condition Method versus Endogenous Grid Method for Solving Dyna," QM&RBC Codes 204, Quantitative Macroeconomics & Real Business Cycles.
    • Handle: RePEc:dge:qmrbcd:204
    as

    Download full text from publisher

    File URL: https://dge.repec.org/codes/maliar/ECM_and_EGM_MM_2013.zip
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    Matlab;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

    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:dge:qmrbcd:204. 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: Christian Zimmermann (email available below). General contact details of provider: http://dge.repec.org/ .

    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.