Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies

Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies

by Michelle C. Baddeley, Diana V. Barrowclough
     
 

Running Regressions introduces social science undergraduates, particularly those studying economics and business, to the practical aspects of regression analysis, without adopting an esoteric, mathematical approach. It shows that statistical analysis can be simultaneously straightforward, useful and interesting, and can deal with topical, real-world issues. Each

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Overview

Running Regressions introduces social science undergraduates, particularly those studying economics and business, to the practical aspects of regression analysis, without adopting an esoteric, mathematical approach. It shows that statistical analysis can be simultaneously straightforward, useful and interesting, and can deal with topical, real-world issues. Each chapter introduces an economic theory or idea by relating it to an issue of topical interest, and explains how data and econometric analysis can be used to test it. The book can be used as a self-standing text or to supplement conventional econometric texts. It is also ideally suited as a guide to essays and project work.

Product Details

ISBN-13:
9780521603089
Publisher:
Cambridge University Press
Publication date:
06/22/2009
Edition description:
New Edition
Pages:
310
Product dimensions:
6.80(w) x 9.60(h) x 0.60(d)

Related Subjects

Table of Contents

List of figures xi

List of tables xiii

List of boxes xv

Acknowledgements xvii

List of acronyms xviii

How to use this book 1

Part I Simple regression and data analysis 9

1 An introduction to Ordinary Least Squares 11

2 Running simple regressions: Global poverty and economic growth 36

3 Using logs and estimating elasticities: Demand for air travel 64

4 Hypothesis testing: Health expenditure and the quality of life 86

Part II Multiple regression and diagnostic testing 107

5 Multiple regression analysis: Housing demand in the UK 109

6 Heteroscedasticity: R&D, invention and innovation 133

7 Autocorrelation: Tourism and the environment 157

8 Model misspecification: Tobin's q and investment in the USA 178

Part III Time-series econometrics 199

9 Structural breaks, non-stationarity and spurious regressions: Venture capital and computing investment in the USA 201

10 Error correction models: Consumption and the multiplier in the UK 225

Part IV Advanced topics 247

11 Panel estimation: Divorce and income 249

12 Binary dependent variables: War and poverty 264

Index 280

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