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A Computational Model of Industry Dynamics

2015-01-09 Business & Economics
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Release : 2015-01-09
Genre : Business & Economics
Kind : eBook
Book Rating : 773/5 ( reviews)

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Book Synopsis A Computational Model of Industry Dynamics by : Myong-Hun Chang

Download or read book A Computational Model of Industry Dynamics written by Myong-Hun Chang. This book was released on 2015-01-09. Available in PDF, EPUB and Kindle. Book excerpt: 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 maturity in 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.

Industry Dynamics with Knowledge-Based Competition

2014
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Release : 2014
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Book Synopsis Industry Dynamics with Knowledge-Based Competition by : Myong-Hun Chang

Download or read book Industry Dynamics with Knowledge-Based Competition written by Myong-Hun Chang. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt: I propose a computational model of industry evolution capable of matching many stylized facts. It views the firm as a myopic but adaptive entity whose survival depends on its ability to perform various activities with greater efficiency than its rivals. In this model, the shakeout pattern arises naturally in the early stage of industrial development. I provide a full comparative dynamics analysis of how various industry-specific factors determine the numbers and the rates of entries and exits over time as well as the ages of the exiting firms.

Dynamic General Equilibrium Modelling

2005-12-05 Business & Economics
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Release : 2005-12-05
Genre : Business & Economics
Kind : eBook
Book Rating : 123/5 ( reviews)

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Book Synopsis Dynamic General Equilibrium Modelling by : Burkhard Heer

Download or read book Dynamic General Equilibrium Modelling written by Burkhard Heer. This book was released on 2005-12-05. Available in PDF, EPUB and Kindle. Book excerpt: Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. Many mathematical tools are needed to solve these models. The book presents various methods for computing the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. Part II discusses methods for solving heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model. Through an accompanying home page to this book, computer codes to all applications can be downloaded.

Industry and Labor Dynamics

2004 Business & Economics
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Release : 2004
Genre : Business & Economics
Kind : eBook
Book Rating : 253/5 ( reviews)

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Book Synopsis Industry and Labor Dynamics by : Roberto Leombruni

Download or read book Industry and Labor Dynamics written by Roberto Leombruni. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the contributions to the first Wild@Ace conference. The acronym stands for OC Workshop on Industrial and Labor Dynamics OCo The Agent-Based Computational AproachOCO, and it has been the first event ever focusing on the very promising use of the agent-based simulation approach for investigation of labor economics and industrial organization issues. Agent-based models are computer models in which a multitude of agents OCo each embodied in a specific software code OCo interact. These agents can represent individuals households, firms, institutions, etc. Moreover, OC specialOCO agents can be added to observe and monitor individual and collective behavior. One of the main purpose of writing an ACE model is to gain intuitions on the two-way feedback between the microstructure and the macrostructure of a phenomenon of interest. How is it that simple aggregate regularities may arise from individual disorder? Or that a nice structure at an individual level may lead to a complete absence of regularity in the aggregate? How is it that the complex interaction of very simple individuals may lead to surprisingly complicated aggregate dynamics? Or that sophisticated agents may be unable to organize themselves in any interesting way?. The book includes contributions by some of the most distinguished researchers in the field, such as the economists Alan Kirman, Giovanni Dosi, Leigh Tesfatsion and Mauro Gallegati, and the sociologist Nigel Gilbert."

The Oxford Handbook of Computational Economics and Finance

2018-01-12 Business & Economics
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Release : 2018-01-12
Genre : Business & Economics
Kind : eBook
Book Rating : 502/5 ( reviews)

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Book Synopsis The Oxford Handbook of Computational Economics and Finance by : Shu-Heng Chen

Download or read book The Oxford Handbook of Computational Economics and Finance written by Shu-Heng Chen. This book was released on 2018-01-12. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

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