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  • © 2004

The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control

A Promising Combination?

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Part of the book series: Advances in Computational Economics (AICE, volume 19)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvii
  2. Introduction

    1. Introduction

      • Marco P. Tucci
      Pages 1-11
  3. Adaptive Control and Time-Varying Parameters

    1. Front Matter

      Pages 13-13
    2. Kendrick’s (1981) Case

      • Marco P. Tucci
      Pages 15-31
    3. The Uncertain Parameter Mean Case

      • Marco P. Tucci
      Pages 33-50
    4. The Complete Uncertainty Case

      • Marco P. Tucci
      Pages 51-70
  4. Time-Varying Parameters and the Rational Expectations Hypothesis

    1. Front Matter

      Pages 111-111
  5. Back Matter

    Pages 249-261

About this book

One of the major controversies in macroeconomics over the last 30 years has been that on the effectiveness of stabilization policies. However, this debate, between those who believe that this kind of policies is useless if not harmful and those who argue in favor of it, has been mainly theoretical so far.

The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control wants to represent a step toward the construction of a common ground on which to empirically compare the two "beliefs" and to do this three strands of literature are brought together. The first strand is the research on time-varying parameters (TVP), the second strand is the work on adaptive control and the third one is the literature on linear stationary models with rational expectations (RE).

The material presented in The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control is divided into two parts. Part 1 combines the strand of literature on adaptive control with that on TVP. It generalizes the approach pioneered by Tse and Bar-Shalom (1973) and Kendrick (1981) and one recently used in Amman and Kendrick (2002), where the law of motion of the TVP and the hyperstructural parameters are assumed known, to the case where the hyperstructural parameters are assumed unknown. Part 2 is devoted to the linear single-equation stationary RE model estimated with the error-in-variables (EV) method. It presents a new formulation of this problem based on the use of TVP in an EV model. This new formulation opens the door to a very promising development. All the theory developed in the first part to control a model with TVP can sic et simpliciter be applied to control a model with RE.

Authors and Affiliations

  • Università di Siena, Italy

    Marco P. Tucci

About the author

Marco P. Tucci graduated in Economics at the University of Sienna, then he went to the University of Texas at Austin (USA) where he got his Ph. D. specializing in Control Theory, Econometrics and Empirical Macroeconomics. He is currently Associate Professor at the University of Sienna and a member of the Society of Computational Economics. He has published in the Journal of Computational Economics, Journal of Economic Dynamics and Control, Journal of Structural Changes and Economic Dynamics, Economic Notes and has contributed to books. He is referee for the above mentioned journals and for Macroeconomic Dynamics.

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access