
Analysing Economic Data
A Concise Introduction
Terence C. Mills(Author)
Palgrave Macmillan (Publisher)
Book
Hardback
310 pages
978-1-137-36983-3 (ISBN)
Description
This book is an introductory text on analyzing economic data, covering all the key issues required for students wishing to understand and analyse core empirical issues in economics. It focuses on descriptive statistics, probability concepts and basic econometrics and uses many relevant and contemporary economic examples to illustrate these techniques. The book has an accompanying website that contains all the data used in the examples and also provides Econometric Views exercises for both replicating the examples and undertaking original research. It is thus an essential text for both those being confronted with economic data analysis for the first time and those undertaking their first research projects in economics.
More details
Series
Language
English
Place of publication
Basingstoke
United Kingdom
Target group
Professional and scholarly
Illustrations
13 black & white tables, 44 figures
ISBN-13
978-1-137-36983-3 (9781137369833)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Terence Mills is Professor of Applied Statistics and Econometrics at Loughborough University, UK. He is the author of The Foundations of Modern Time Series Analysis and A Very British Affair: Six Britons and the Development of Time Series Analysis During the 20th Century, both published by Palgrave Macmillan.
Content
1. Introduction 2. Presenting and Summarising Data 3. Transforming Data 4. Index Numbers 5. Correlation 6. Regression 7. Basic Concepts of Probability 8. Probability Distributions 9. Continuous Random Variables and Probability Density Functions 10. Sampling and Sampling Distributions 11. Estimation and Inference 12. The Classical Regression Model 13. Multiple Regression 14. Autocorrelation 15. Heteroskedasticity 16. Simultaneity, Instrumental Variables and Non-Normal Errors 17. Testing for Stability in Regression Models 18. Basic Time Series Models