Economic Dynamics: Theory and Computation, vol 1
John Stachurski ()
in MIT Press Books from The MIT Press
Abstract:
This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real world problems. The material makes extensive use of programming examples to illustrate ideas. These programs help bring to life the abstract concepts in the text. Background in computing and analysis is offered for readers without programming experience or upper-level mathematics. Topics covered in detail include nonlinear dynamic systems, finite state Markov chains, stochastic dynamic programming, and stochastic stability and computation of equilibria. The models are predominantly nonlinear, and the emphasis is on studying nonlinear systems in their original form, rather than by means of rudimentary approximation methods such as linearization. Much of the material is new to economics and improves on existing techniques. For graduate students and those already working in the field, Economic Dynamics will serve as an essential resource.
Keywords: economic dynamics; nonlinear dynamic systems; Markov chains; programming (search for similar items in EconPapers)
JEL-codes: C6 (search for similar items in EconPapers)
Date: 2009
Edition: 1
ISBN: 0-262-01277-4
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (66)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mtp:titles:0262012774
Access Statistics for this book
More books in MIT Press Books from The MIT Press
Bibliographic data for series maintained by The MIT Press ().