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Forecasting Models for National Economic Planning

  • Book
  • © 1972

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Authors:
  1. A. R. G. Heesterman
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Part of the book series: International Studies in Economics and Econometrics (ISEE, volume 2)

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Table of contents (10 chapters)

  1. Front Matter

    Pages I-IX
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  2. Preface and Introduction

    • A. R. G. Heesterman
    Pages 1-3

  3. Preface to the Second Edition

    • A. R. G. Heesterman
    Pages 4-4

  4. The Basic Concepts of Linear Models

    • A. R. G. Heesterman
    Pages 5-20

  5. The Short-term Forecasting Model

    • A. R. G. Heesterman
    Pages 21-40

  6. The (Static) Input-Output Model

    • A. R. G. Heesterman
    Pages 41-74

  7. Some Building Stones of Sectorized Models

    • A. R. G. Heesterman
    Pages 75-97

  8. Capital-Output Ratios

    • A. R. G. Heesterman
    Pages 98-106

  9. The Dynamics of Economic Growth

    • A. R. G. Heesterman
    Pages 107-126

  10. Dynamic Adjustment Models and their Convergence

    • A. R. G. Heesterman
    Pages 127-143

  11. Forecast and Policy

    • A. R. G. Heesterman
    Pages 144-152

  12. Back Matter

    Pages 153-157
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Keywords

About this book

This book is about the specification of linear econometric models, and for this reason some important related fields have been deliberately omitted. I did not want to discuss the problems of parameter-estimation, at least not in any detail, as there are other books on these problems written by specialized statisticians. This book is about the models them­ selves and macro-economic models in particular. A second related sub­ ject is the policy decision that can be made with the help of a model. While I did write a chapter on policy decisions, I limited myself to some extent because of my views on planning as such. The logical approach to this problem is in terms of mathematical programming, but our models and our ideas about the policies we want are too crude for its effective utilisation. A realistic formulation of the problem should involve non­ linearities in an essential way, the models I consider (and most existing models) are linear. At the present state of econometrics, I do not really believe in such a thing as the 'optimal' plan. The possible result of bad planning or no planning at all, for instance massive unemployment, sudden financial crises, unused capital equipment, or the production of unsalable goods is agreed to be undesirable. Programming methods may of course be needed, if only for having a systematic algorithm to find a solution that avoids this kind of 'obvious' non-optimality. However, the main emphasis is on forecasting models.

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