IDEAS home Printed from https://ideas.repec.org/h/spr/sptchp/978-981-97-1382-0_14.html
   My bibliography  Save this book chapter

Statistical Approach on the Economic System

In: Evolutionary Economics

Author

Listed:
  • Yuji Aruka

Abstract

Masanao AokiAoki, M. was a great scholar who sincerely challenged to exit from the secular world fettered by the representative method of economic modeling. He resolutely focused on a stochastic dynamic system, i.e., cluster dynamicsCluster dynamics with a finite number of heterogenous agents of different typesDifferent types, which could change the methodological regime from the pure homogeneous agents to the actual world. The desired model may be described by partition vectorsPartition vectors with multiple stateMultiple state. Aoki’s model has renovated the traditional restrictive views. In this chapter, by referring to the sole textbook of Masanao Aoki written in Japanese, we will introduce his insightful analytical methods.

Suggested Citation

  • Yuji Aruka, 2024. "Statistical Approach on the Economic System," Springer Texts in Business and Economics, in: Evolutionary Economics, chapter 0, pages 293-320, Springer.
  • Handle: RePEc:spr:sptchp:978-981-97-1382-0_14
    DOI: 10.1007/978-981-97-1382-0_14
    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:sptchp:978-981-97-1382-0_14. 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.