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

by Michelle C. Baddeley , Diana V. Barrowclough

• ISBN13: 9780521603089
• ISBN10: 0521603080
• Edition: 1st
• Format: Paperback
• Copyright: 2009-06-22
• Publisher: Cambridge University Press

Summary

Running Regressions introduces first-year social science undergraduates, particularly those studying economics and business, to the practical aspects of simple 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.

Author Biography

Michelle Baddeley is Director of Studies (Economics), Fellow and College Lecturer at Gonville and Caius College, Cambridge. She is the author of Investment: Theories and Analysis (2003). Diana Barrowclough is a senior economist, Office of the Secretary General, United Nations Conference for Trade and Development (UNCTAD). She formerly lectured economics at the University of Cambridge, where she was a fellow of St John's College.

Table of Contents

List of figures	p. xi
List of tables	p. xiii
List of boxes	p. xv
Acknowledgements	p. xvii
List of acronyms	p. xviii
How to use this book	p. 1
Simple regression and data analysis	p. 9
An introduction to Ordinary Least Squares	p. 11
Running simple regressions: Global poverty and economic growth	p. 36
Using logs and estimating elasticities: Demand for air travel	p. 64
Hypothesis testing: Health expenditure and the quality of life	p. 86
Multiple regression and diagnostic testing	p. 107
Multiple regression analysis: Housing demand in the UK	p. 109
Heteroscedasticity: R&D, invention and innovation	p. 133
Autocorrelation: Tourism and the environment	p. 157
Model misspecification: Tobin's q and investment in the USA	p. 178
Time-series econometrics	p. 199
Structural breaks, non-stationarity and spurious regressions: Venture capital and computing investment in the USA	p. 201
Error correction models: Consumption and the multiplier in the UK	p. 225
Advanced topics	p. 247
Panel estimation: Divorce and income	p. 249
Binary dependent variables: War and poverty	p. 264
Index	p. 280
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