AN INTRODUCTION TO APPLIED ECONOMETRIC ANALYSIS AN INTRODUCTION TO APPLIED ECONOMETRIC ANALYSIS R. F. WYNN K. HOLDEN AND M © R. F. Wynn and K. Holden 1974 Softcoverreprint ofthe hardcoverIst edition 1974 All rights reserved. No part of this publication may be reproduced or transrnitted, in any form or by any means, without perrnission. First published 1974 by THE MACMILLAN PRESS L TD London and Basingstoke Associated companies in New York Dub/in Melbourne Johannesburg and Madras SBN 333 16711 2 (hard cover) 333 16712 0 (paper cover) ISBN 978-0-333-16712-0 ISBN 978-1-349-15548-4 (eBook) DOI 10.1007/978-1-349-15548-4 The paperhack edition of this book is sold subject to the condition that it shall not, by way of trade or otherwise, be lent, re-sold, hired out, or otherwise circulated without the publisher's prior consent in any form of binding or cover other than that in which it is published and without a sirnilar condition including this condition being imposed on the subsequent purchaser. To A. and J. Contents Preface ix 1 INTRODUCTION 1 1.1 The objectives and methods of applied econometrics 1 1.2 The presentation and interpretation of basic regression results 4 1.3 The interpretation and use of the results of elementary econo- metric analysis 8 1.4 Further reading 19 1.5 References 21 2 INVESTMENT 22 2.1 Introduction 22 2.2 Replacement investment 23 2.3 Desired capital stock 25 2.4 The distributed lag function w(L) 28 2.5 Aggregate investment functions 33 2.6 Micro-level investment functions 40 2.7 Further reading 44 2.8 References 45 3 THE PRODUCTION FUNCTION 47 3.1 The theory of production 47 3.2 The Cobb-Douglas and C. E. S. production functions 52 3.3 Data problems and aggregation 57 3.4 Empirical estimation 62 3.5 Empirical evidence 65 3.6 Further reading 71 3.7 References 73 4 WAGE-PRICE MODELS 75 4.1 The wage-change equation 75 4.2 The effects of different labour markets 81 4.3 The empirical estimation of Phillips curves 84 viii An Introduction to Applied Econometric Analysis 4.4 Wage-price systems 94 4.5 Empirical estimation of the wage-price systems 97 4.6 Further reading 100 4.7 References 103 5 MACRO-ECONOMIC MODELS I: THE SPECIFICATION PROBLEM AND RELATED ISSUES 105 5.1 Introduction 105 5.2 The aggregation problem III 5.3 Estimation and other aspects of statistical inference 114 5.4 A comparative review of different models: some introductory remarks 120 5.5 Klein III 131 5.6 Klein-Goldberger II 135 5.7 Canadian model IX 141 5.8 The Dutch forecasting and policy model 148 5.9 The Michigan RSQE model 152 5.10 The Wharton EFU model 156 5.11 The Brookings model 163 5.12 Further reading 169 5.13 References 172 6 MACRO-ECONOMIC MODELS II: THE PREPARATION AND ANALYSIS OF FORECASTS 176 6.1 Introduction 176 6.2 Forecasting and the analysis of forecast performance 178 6.3 Multiplier analysis and the properties of dynamic models 193 6.4 Forecasting and forecast performance in practice 201 6.5 Multipliers and dynamic properties in practice 213 6.6 Further reading 231 6.7 References 233 Author Index 239 Subject Index 242 Preface Our principal aim in writing this book has been to help meet the growing need for an introduction to applied econometrics at the advanced undergraduate level. In particular, we believe that undergraduates derive more benefit from a course in econometric methods if it is supported by discussion of how these methods relate to applied work and thereby to other fields of economic science. Furthermore, an early introduction to applied econometrics has the additional advantages, through encouraging the use of computer and library facilities, of fostering research interests and skills and of bringing the student closer to the current literature in at least some areas of economics. It is also hoped that our efforts may help postgraduates and others who are not intending to specialise in econometrics but who nevertheless need to make use ofe conometric methods in their research. Given these objectives we have in no way attempted to give a comprehensive account of any particular aspect of applied econometric analysis, nor have we attempted a review of the literature in any particular field of applied econo metric research. Rather we have concentrated on presenting an account of what is involved in expressing economic theory in the form of an econometric model, in testing models against observation and in preparing and analysing forecasts. Only four areas of applied econometrics have been referred to in order to illustrate these matters. This has meant that many special points of interest relating to other topics have been omitted, but we believe these four areas are sufficiently distinctive to provide a basis for an introduction to the subject. The problems and limitations of dealing with data and of assessing em pirical results are discussed, and the student is encouraged to consult the litera ture for himself through a guide to further reading at the end of each chapter. We assume a knowledge of at least elementary economic theory, statistics, algebra and calculus, and that the reader has taken, or is taking, an intro ductory course in econometric methods. A knowledge of the basic matrix operations (addition, multiplication and inversion) and of determinants is desirable for certain topics. Despite these prerequisites, however, we believe that there is some value in reviewing in an introductory chapter those econo metric methods that are almost universally used in applied work. In Chapter 1 we have therefore summarised the way in which regression and econometric results are used in hypothesis testing and prediction, and also the usual tests of the assumptions of the classical linear regression model. Problems that arise in the use of certain kinds of data or models are pointed out where necessary in the chapters that follow. x An Introduction to Applied Econometric Analysis The chapters dealing with investment, the production function and wage price models share a common approach. In each case theory relating to the specification of alternative models is reviewed together with ways in which these models might be tested. This is followed by examples of published empirical results. The final two chapters consider macro-economic models. In dealing with the specification of such models, selected references to seven published studies are used to illustrate the way in which the structure and scope of these models have been adapted to serve different purposes, and, in particular, the need for a more comprehensive treatment of macro-economic systems. The second of the chapters on macro-economic models is a review of matters relating to the preparation of forecasts from an econometric model, the theoretical and practical attractions of different ways of evaluating fore casts and the preparation and analysis of multipliers. Again a limited selection of published work is reviewed. Although all six chapters have been much improved as a result of the suggestions and reactions of both co-authors, R. F. Wynn was responsible for the preparation of Chapters 1, 5 and 6 and K. Holden for Chapters 2, 3 and 4. The final draft of the book remains our responsibility alone of course and yet we must express our gratitude to all those who have given us the benefit of their advice in the various stages of preparation, especially R. W. Latham, D. A. Peel, P. J. M. Stoney and A. E. Woodfield. We should also like to thank those whose skill and patience has turned our handwritten material into type script, particularly Mrs A. Burgess and Mrs D. Lewis. Finally the permission of the following publishers to reprint the tables specified is gratefullyacknow ledged: Centro de Economia e Finan~as, Lisbon (Tables 6.1 and 6.5); the editors of the American Economic Review (Table 6.2); the Economics Research Unit, Wharton School of Finance and Commerce, University of Pennsylvania (Table 6.4); the editors of the Review ofE conomic Studies (Tables 6.6 and 6.7); and the Brookings Institution (Table 6.8). April 1974 R. F. WYNN K. HOLDEN 1. Introduction 1.1 THE OBJECTIVES AND METHODS OF APPLIED ECONOMETRICS Broadly speaking econometric analysis can be said to be concerned with developing means by which hypotheses about economic systems can be tested with reference to observation. One of the first objectives of this kind of study must therefore be the specification of a model which it is believed adequately represents the relationship between a given set of variables. Given the quanti tative nature of information about these variables, the model may conveniently be expressed as a mathematical function, the simplest example of which can be found in the familiar regression model (1.1) in which the dependent variable Y is shown to be a linear function of a single independent variable (or explanatory variable or regressor) X and a random or stochastic variable u. The subscript i refers to a particular observation on Xand Y. The simplicity of (1.1) rests on three features: its linearity, the appearance of only two variables in the exact or non-stochastic part of the function and the use of only one relationship relating Y and X. These are restrictions which can, however, be relaxed to some extent to cope with some of the demands of a more complex reality and yet retain the convenience of the linear character of (1.1). Thus the addition of further independent variables on the right hand side requires only a generalisation of regression methods applicable to (1.1) while the linearity assumption itself can be modified somewhat by allowing variables like X to represent other variables such as zn, l!zm, Z~!Zr; or In Z so that the model is no longer linear in variables, providing it remains linear in parameters and providing the way in which the disturbance term is incorporated in the model also conforms to this principle, which means, for example, that the disturbance in (1.2) has to be multiplicative for it to be additive in the linear equivalent of (1.2) In Y=lncx+plnX+lnu (1.3) In addition, a model may consist of more than one equation which is linear in