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Myong-Hun Chang


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Research


Book

  • A Computational Model of Industry Dynamics

    Routledge (Series: Routledge Advances in Experimental and Computable Economics): January, 2015 [Available at Amazon]


    The study reported in this book attempts 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 the 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 behavior 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 agets in a dynamic setting can be useful and effective in carrying out both positive and normative economic analysis.
  • The computational experiments performed in the book are based on the following baseline C++ codes:
    • MagnumSolo.cpp: generation of time series outputs from a single replication
    • MagnumMult.cpp: generation of time series outputs from 500 independent replications
    • The above C++ codes are created using Microsoft Visual Studio Express 2012. The generated outputs (exported from the codes) are then analyzed using Wolfram Mathematica 7.0.
    • If you do not have a C++ compiler, you may view the above codes in the following text files:

Journal Articles


Book Review

  • Review of Game Theory: A Nontechnical Introduction to the Analysis of Strategy (by Roger A. McCain)
    Eastern Economic Journal, 39 (2013), 267-269.
    [PDF copy]

Working Papers

  • Spatially Heterogeneous Vaccine Coverage and Externalities in a Computational Model of Epidemics
    April 2018 (with Troy Tassier)
    [PDF copy]
    [
    Base code for the benchmark experiments 1 and 2 in Wolfram Mathematica 10.4: VaxxSourceCode_Benchmark.nb (PDF copy)]
  • A Dynamic Computational Model of Social Stigma
    April 2018 (with Joseph E. Harrington, Jr.)
    [PDF copy]
  • A Non-Equilibrium Theory of Merger Waves
    April 2015
    [PDF copy]
  • Cyclical Industrial Dynamics in a Model of Schumpeterian Competition with Fluctuating Demand
    May 2013
    [PDF copy]
  • Muddling through the Gales of Creative Destruction: A Non-Equilibrium Computational Model of Schumpeterian Competition
    September 2012
    [PDF copy]
  • A Note on the Dynamics of Firm Turnovers in the East Liverpool (Ohio) Pottery Industry, 1825-2010
    May 2012 (with Amanda Janosko)
    [PDF copy: Appendix]
  • The Impact of a Corporate Leniency Program on Antitrust Enforcement and Cartelization
    April 2010 (with Joseph E. Harrington, Jr.)
    [PDF copy]
  • Partition and Delegate: A Computational Algorithm for Generating Nested Organizational Hierarchies with a Fixed Number of Tasks
    June 2007
    [PDF copy]
  • Co-Evolution of Firms and Consumers and the Implications for Market Dominance
    Working Paper #23, Center on Social and Economic Dynamics , The Brookings Institution, October 2001. (with Joseph E. Harrington, Jr.)
  • Centralization vs. Decentralization in a Multi-Unit Organization:  A Computational Model of a Retail Chain as a Multi-Agent Adaptive System
    Santa Fe Institute Working Paper Series 00-02-010, 2000. (with Joseph E. Harrington, Jr.)
    [Abstract : PDF copy ]
  • Chaebols and Big Deals:  Cross-Market Cost-Interdependencies and the Excess Diversification Dilemma in Multi-Market Business Groups
    September 1999
    [Abstract : PDF copy ]

Research-in-Progress

  • A Computational Model of Epidemics: Implications of Spatial Heterogeneity in Vaccination Coverage
    (joint with Troy Tassier)

Recent and Upcoming Conference


* Some of the documents on these sites are in .pdf format (Adobe Acrobat) or .nb format (Mathematica Notebook).  In order to view these documents, you need the following viewers:

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