A Computational Model Of Industry Dynamics by Myong-hun ChangA Computational Model Of Industry Dynamics by Myong-hun Chang

A Computational Model Of Industry Dynamics

byMyong-hun ChangEditorMyong-hun Chang

Hardcover | September 1, 2015

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The economics literature on industry dynamics contains a wide array of empirical works identifying a set of stylized facts. There have been several attempts at constructing analytical models to explain some of these regularities. These attempts are highly stylized and limited in scope to keep the analyses tractable. A general model of industry evolution capable of generating firm and industry behaviour that can match the data is needed.

This book endeavours to explain many well-documented aspects of the evolution of industries over time. It uses an agent-based computational model in which artificial industries are created and grown to maturityin silico. While the firms in the model are assumed to have bounded rationality, they are nevertheless adaptive in the sense that their experience-based R&D efforts allow them to search for improved technologies. Given a technological environment subject to persistent and unexpected external shocks, the computationally generated industry remains in a perennial state of flux. The main objective of this study is to identify patterns that exist in the movements of firms as the industry evolves over time along the steady state in which the measured behaviour of the firms and the industry stochastically fluctuate around steady means.

The computational model developed in this book is able to replicate many of the stylized facts from the empirical industrial organization literature, particularly as the facts pertain to the dynamics of firm entry and exit. Furthermore, the model allows examination of cross-industry variations in entry and exit patterns by systematically varying the characteristics of the market and the technological environment within which the computationally generated industry evolves. The model demonstrates that the computational approach based on boundedly rational agents in a dynamic setting can be useful and effective in carrying out both positive and normative economic analysis.

Myong-Hun Changis Professor and Chair of the Department of Economics, Cleveland State University, USA.
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Title:A Computational Model Of Industry DynamicsFormat:HardcoverDimensions:160 pages, 8.6 × 5.6 × 0.6 inPublished:September 1, 2015Publisher:Taylor and FrancisLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:041570684X

ISBN - 13:9780415706841

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Table of Contents

1. Non-Equilibrium Dynamics in the Evolution of Industries 2. Models of Industry Dynamics 3. A Dynamic Model of Schumpeterian Competition 4. Growing an Industryin silico5. Shakeouts: Limited Foresight, Technological Shocks, and Transient Industry Dynamics 6. Industry Dynamics in the Steady State: Between-Industry Variations 7. Firm Dynamics in the Steady State: Within-Industry Variations 8. Cyclical Industrial Dynamics with Fluctuating Demand 9. Conclusion