An Introduction to Quantitative Economics: 1st Edition (Paperback) book cover

An Introduction to Quantitative Economics

1st Edition

By Brian Haines


162 pages

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Paperback: 9780815350514
pub: 2019-07-01
Available for pre-order
Hardback: 9780815350224
pub: 2018-03-06
eBook (VitalSource) : 9781351140805
pub: 2018-04-09
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Originally published in 1978. This book is designed to enable students on main courses in economics to comprehend literature which employs econometric techniques as a method of analysis, to use econometric techniques themselves to test hypotheses about economic relationships and to understand some of the difficulties involved in interpreting results. While the book is mainly aimed at second-year undergraduates undertaking courses in applied economics, its scope is sufficiently wide to take in students at postgraduate level who have no background in econometrics - it integrates fully the mathematical and statistical techniques used in econometrics with micro- and macroeconomic case studies.

Table of Contents

Preface Part 1 1. Introduction to the Relationship between Variables 2. A Basic Revision of Statistical Concepts 3. The Principle of Ordinary Least Squares and Simple Regression Formulae 4. Nonlinear Relationships and Multiple Regression Part 2 5. A Breakdown of the Standard Assumptions made about the Error Term 6. Statistical Data, Distributed Lag Models and Dummy Variables 7. Empirical Studies in Macroeconomics 8. Structural Equations and the Identification Problem. Numerical Answers

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
BUSINESS & ECONOMICS / Economics / General