Behavioral Predictive Modeling in Economics

1. Auflage 2021
ISBN: 978-3-030-49727-9
Verlag: Springer

Buch, Englisch, 451 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 857 g

Reihe: Studies in Computational Intelligence

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. 

Zielgruppe

Research

Autoren/Hrsg.

Sriboonchitta, Songsak

Kreinovich, Vladik

Yamaka, Woraphon

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftstheorie, Wirtschaftsphilosophie
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Verhaltensökonomik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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