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Springer Behavioral Predictive Modeling in Economics 897

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Description

Traditional economic models often rely on the assumption that individuals make perfectly rational decisions through detailed analysis. However, real-world behavior often differs from these theoretical ideals. Behavioral Predictive Modeling in Economics (Studies in Computational Intelligence, 897) addresses this gap by exploring how human behavior impacts economic forecasting. This text provides a deep look into methodological papers and practical examples of applying behavioral predictive models to real economic problems. By focusing on the reality that people have a limited ability to process information, this book offers a more accurate way to approach economic predictions. It moves beyond the idea of always-optimal decision-making to account for the actual ways people interact with economic systems. Published by Springer, this work is an essential resource for those studying econometrics and computational intelligence. It helps readers understand how to integrate human behavioral patterns into predictive frameworks, leading to more realistic and effective economic models.

Key Features

Explores methodological papers on applying behavioral predictive models to specific economic problems.

Addresses the limitations of traditional economic models that assume perfect rationality in decision-making.

Provides practical examples of how human behavior affects the accuracy of economic predictions.

Incorporates research regarding how limited information processing influences real-world economic choices.

Part of the Studies in Computational Intelligence series, volume 897, for specialized academic study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 August 2020
Listed Since
03 May 2020

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