IDEAS home Printed from https://ideas.repec.org/p/nig/wpaper/0129.html
   My bibliography  Save this paper

Re-reading Jevons's Principles of Science-Induction Redux

Author

Listed:
  • K. Vela Velupillai

    (Department of Economics, National University of Ireland, Galway)

Abstract

In this paper I try to substantiate the thesis that Jevons may have been too harsh on the vices of induction and generously optimistic about the virtues of deduction, as discussed, primarily, in his magnum opus, The Principles of Science [6]. With this aim in mind the paper attempts to suggest (modern), recursion theoretic, theoretical technologies that could reduce and, under con- ditions that I claim would be acceptable to Jevons, even eliminate the inductive indeterminacies that he had emphasised.

Suggested Citation

  • K. Vela Velupillai, 2007. "Re-reading Jevons's Principles of Science-Induction Redux," Working Papers 0129, National University of Ireland Galway, Department of Economics, revised 2007.
  • Handle: RePEc:nig:wpaper:0129
    as

    Download full text from publisher

    File URL: http://www.economics.nuig.ie/resrch/paper.php?pid=136
    File Function: First version, 2007
    Download Restriction: no

    File URL: http://www.economics.nuig.ie/resrch/paper.php?pid=136
    File Function: Revised version, 2007
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Jevons; Inductiion; Inductive Inference; Bayes?Rule;
    All these keywords.

    JEL classification:

    • B16 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Quantitative and Mathematical
    • B31 - Schools of Economic Thought and Methodology - - History of Economic Thought: Individuals - - - Individuals
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:nig:wpaper:0129. 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: Srinivas Raghavendra (email available below). General contact details of provider: https://edirc.repec.org/data/deucgie.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.