Behavioral predictive modeling in economics

Author(s)
Bibliographic Information

Behavioral predictive modeling in economics

Songsak Sriboonchitta, Vladik Kreinovich, Woraphon Yamaka, editors

(Studies in computational intelligence, v. 897)

Springer, c2021

  • : [pbk.]

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Note

Includes bibliographical references

Description and Table of Contents

Description

This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality - as Nobel Prize-winning research has shown - people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques.

Table of Contents

Introduction.- Behavioral Predictive Modeling in Economics.- Conclusion.

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Details
  • NCID
    BC11964627
  • ISBN
    • 9783030497309
  • Country Code
    sz
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    [Cham]
  • Pages/Volumes
    ix, 451 p.
  • Size
    24 cm
  • Parent Bibliography ID
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