Behavioral Predictive Modeling in Economics

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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.


Presents a state-of-the-art overview of what can be done and what should be done to incorporate behavioral predictive models into econometrics Showcases recently developed behavioral models Written by respected experts in the field

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

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030497309
    • Genre Technology Encyclopedias
    • Auflage 1st edition 2021
    • Editor Songsak Sriboonchitta, Woraphon Yamaka, Vladik Kreinovich
    • Lesemotiv Verstehen
    • Anzahl Seiten 464
    • Herausgeber Springer International Publishing
    • Größe H235mm x B155mm x T25mm
    • Jahr 2021
    • EAN 9783030497309
    • Format Kartonierter Einband
    • ISBN 3030497305
    • Veröffentlichung 07.08.2021
    • Titel Behavioral Predictive Modeling in Economics
    • Untertitel Studies in Computational Intelligence 897
    • Gewicht 698g
    • Sprache Englisch

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