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Computational Methods for the Study of Dynamic Economies


  • Marimon, Ramon
    (European University Institute, Florence)

  • Scott, Andrew
    (London Business School)


Macroeconomics increasingly uses stochastic dynamic general equilibrium models to understand theoretical and policy issues. Unless very strong assumptions are made, understanding the properties of particular models requires solving the model using a computer. This volume brings together leading contributors in the field who explain in detail how to implement the computational techniques needed to solve dynamic economics models. A broad spread of techniques are covered, and their application in a wide range of subjects discussed. The book provides the basics of a toolkit which researchers and graduate students can use to solve and analyse their own theoretical models. Available in OSO:

Suggested Citation

  • Marimon, Ramon & Scott, Andrew (ed.), 1999. "Computational Methods for the Study of Dynamic Economies," OUP Catalogue, Oxford University Press, number 9780198294979.
  • Handle: RePEc:oxp:obooks:9780198294979

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    References listed on IDEAS

    1. Gordon,Robert J., 2004. "Productivity Growth, Inflation, and Unemployment," Cambridge Books, Cambridge University Press, number 9780521531429, March.
    2. Dale W. Jorgenson, 2001. "Information Technology and the U.S. Economy," American Economic Review, American Economic Association, vol. 91(1), pages 1-32, March.
    3. Gordon,Robert J., 2004. "Productivity Growth, Inflation, and Unemployment," Cambridge Books, Cambridge University Press, number 9780521800082, March.
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