Analyses in Macroeconomic Modelling

  • Andrew Hughes Hallett
  • Peter McAdam

Part of the Advances in Computational Economics book series (AICE, volume 12)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Solution Methods

    1. Front Matter
      Pages 1-1
    2. Michel Juillard, Douglas Laxton, Peter McAdam, Hope Pioro
      Pages 3-29
  3. Rational Expectations and Learning

    1. Front Matter
      Pages 87-87
    2. Scott Moss, Esther-Mirjam Sent
      Pages 115-145
  4. Macrodynamics

    1. Front Matter
      Pages 167-167
    2. Cuong Le Van, Pierre Malgrange
      Pages 169-177
    3. Michel Juillard
      Pages 207-224
  5. Long Run and Closures in Macro Models

  6. Back Matter
    Pages 293-299

About this book


Macroeconomic Modelling has undergone radical changes in the last few years. There has been considerable innovation in developing robust solution techniques for the new breed of increasingly complex models. Similarly there has been a growing consensus on their long run and dynamic properties, as well as much development on existing themes such as modelling expectations and policy rules. This edited volume focuses on those areas which have undergone the most significant and imaginative developments and brings together the very best of modelling practice.
We include specific sections on (I) Solving Large Macroeconomic Models, (II) Rational Expectations and Learning Approaches, (III) Macro Dynamics, and (IV) Long Run and Closures. All of the contributions offer new research whilst putting their developments firmly in context and as such will influence much future research in the area. It will be an invaluable text for those in policy institutions as well as academics and advanced students in the fields of economics, mathematics, business and government. Our contributors include those working in central banks, the IMF, European Commission and established academics.


Inflation calculus dynamics economics mathematics modeling

Editors and affiliations

  • Andrew Hughes Hallett
    • 1
  • Peter McAdam
    • 2
  1. 1.University of StrathclydeScotland
  2. 2.University of Kent at CanterburyUK

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7378-0
  • Online ISBN 978-1-4615-5219-2
  • Series Print ISSN 0929-130X
  • Buy this book on publisher's site