1st Edition

A Computational Model of Industry Dynamics

By Myong-Hun Chang Copyright 2015
160 Pages
by Routledge

160 Pages 50 B/W Illustrations
by Routledge

160 Pages 50 B/W Illustrations
by Routledge

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... Read more

1. Non-Equilibrium Dynamics in the Evolution of Industries 2. Models of Industry Dynamics 3. A Dynamic Model of Schumpeterian Competition 4. Growing an Industry in silico 5. 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

Biography

Myong-Hun Chang is Professor and Chair of the Department of Economics, Cleveland State University, USA.