IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-030-60307-6_9.html
   My bibliography  Save this book chapter

Turnpike Phenomenon for the RSS Model with Nonconcave Utility Functions

In: Turnpike Theory for the Robinson–Solow–Srinivasan Model

Author

Listed:
  • Alexander J. Zaslavski

    (Technion – Israel Institute of Technology)

Abstract

In this chapter we study the turnpike properties for the Robinson–Solow–Srinivasan model. To have these properties means that the approximate solutions of the problems are essentially independent of the choice of an interval and endpoint conditions. The utility functions, which determine the optimality criterion, are nonconcave. We show that the turnpike properties hold and that they are stable under perturbations of an objective function. Moreover, we consider a class of RSS models which is identified with a complete metric space of utility functions. Using the Baire category approach, we show that the turnpike phenomenon holds for most of the models. All the results of this chapter are new.

Suggested Citation

  • Alexander J. Zaslavski, 2020. "Turnpike Phenomenon for the RSS Model with Nonconcave Utility Functions," Springer Optimization and Its Applications, in: Turnpike Theory for the Robinson–Solow–Srinivasan Model, chapter 0, pages 285-340, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-60307-6_9
    DOI: 10.1007/978-3-030-60307-6_9
    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:spr:spochp:978-3-030-60307-6_9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.