Information and communication technologies (ICT) in economic modeling
Author(s)
Bibliographic Information
Information and communication technologies (ICT) in economic modeling
（Computational social sciences）
Springer, c2019
Available at / 2 libraries
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Library, Institute of Developing Economies, Japan External Trade Organization図
T||330.11||I11962369
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"This Springer imprint is published by the registered company Springer Nature Switzerland AG ... Cham, Switzerland"--T.p. verso
Includes bibliographical references and index
Description and Table of Contents
Description
This book presents the effects of integrating information and communication technologies (ICT) and economic processes in macroeconomic dynamics, finance, marketing, industrial policies, and in government economic strategy. The text explores modeling and applications in these fields and also describes, in a clear and accessible manner, the theories that guide the integration among information technology (IT), telecommunications, and the economy, while presenting examples of their applications. Current trends such as artificial intelligence, machine learning, and big data technologies used in economics are also included. This volume is suitable for researchers, practitioners, and students working in economic theory and the computational social sciences.
Table of Contents
PartI: Theory.- Chapter1: Agent-based Computational Economics and Industrial Organization Theory.- Chapter2: Towards a big-data based economy.- Chapter3: Real worlds: simulating non-standard rationality in microeconomics.- Chapter4: The many faces of crowdfunding: a brief classification of the systems and a snapshot of Kickstarter.- PartII: Applications.- Chapter5: Passing-on in Cartel Damages Action: an Agent-Based Model.- Chapter6: Modeling the dynamics of reward-based crowdfunding systems: an agent-based model of Kickstarter.- Chapter7: Fintech: The recovery activity for non-performing loans.- Chapter8: CDS MANAGER: An educational tool for credit derivative market.- Chapter9: A decision-making model for critical infrastructures in conditions of deep uncertainty.- Chapter10: SPIDER: the statistical approach to value assignment problem.- Chapter11: BIG DATA for fraud detection
by "Nielsen BookData"
