Understanding Econometrics: 1st Edition (Hardback) book cover

Understanding Econometrics

1st Edition

By Jon Stewart


294 pages

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Hardback: 9780815350132
pub: 2018-03-06
eBook (VitalSource) : 9781351140409
pub: 2018-03-05
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Originally published in 1976 and with second edition published in 1984. This book established itself as the first genuinely introductory text on econometric methods, assuming no formal background on the part of the reader. The second edition maintains this distinctive feature. Fundamental concepts are carefully explained and, where possible, techniques are developed by verbal reasoning rather than formal proof. It provides all the material for a basic course. and is also ideal for a student working alone. Very little knowledge of maths and statistics is assumed, and the logic of statistical method is carefully stated. There are numerous exercises, designed to help the student assess individual progress. Methods are described with computer solutions in mind and the author shows how a variety of different calculations can be performed with relatively simple programs. This new edition also includes much new material - statistical tables are now included and their use carefully explained.

Table of Contents

Preface to the First Edition. Preface to the Second Edition 1. Introduction 2. The Two Variable Linear Model 3. The Linear Model with Further Explanatory Variables 4. Alternative Disturbance Specifications 5. Distributed Lags and Dynamic Economic Models 6. Simultaneous Equation Models. Suggestions for Further Reading. Statistical Tables. Solutions to Exercises

About the Series

Routledge Library Editions: Econometrics

Reissuing works originally published between 1929 and 1991, this collection of 17 volumes presents a variety of considerations on Econometrics, from introductions to specific research works on particular industries. With some volumes on models for macroeconomics and international economies, this is a widely interesting set of economic texts. Input/Output methods and databases are looked at in some volumes while others look at Bayesian techniques, linear and non-linear models. This set will be of use to those in industry and business studies, geography and sociology as well as politics and economics.

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Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Economic History