IDEAS home Printed from https://ideas.repec.org/p/sce/scecf9/1222.html
   My bibliography  Save this paper

Numerical Analysis of Some Innovation-Adoption Models with State-Dependent Lags

Author

Listed:
  • E. Bengoechea

    (Universidad Carlos III de Madrid)

  • R. Boucekkine

    (Universite Catholique de Louvain)

Abstract

In this paper, we introduce adoption/gestation lags in some standard growth models with a vintage capital structure. The diffusion of innovations is not immediate, and this can be modeled using adoption lags. Adoption lags are specified according to Nelson and Phelps (1966), AER. In particular, adoption lags are taken state-dependent: they are indeed modeled as functions of some proxies of the aggregate human capital of the economies under consideration. We show that the modified models can be written as systems of delay differential equations or integro-delay differential equations. By construction, the delays are state-dependent. To solve the models, we use a version of the methods of steps. Concretely, we use the ARCHI code written by Paul for state-dependent delays systems. Particular attention has been paid to the ability of this code to handle non-differentiabilities in the solution paths, a feature inherent to vintage capital models.

Suggested Citation

  • E. Bengoechea & R. Boucekkine, 1999. "Numerical Analysis of Some Innovation-Adoption Models with State-Dependent Lags," Computing in Economics and Finance 1999 1222, Society for Computational Economics.
  • Handle: RePEc:sce:scecf9:1222
    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

    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:scecf9:1222. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.html .

    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.