Baddeley M.C., Barrowclough D.V. Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies

Cambridge University Press, 2009. — 312 p. — ISBN: 0521603080, 0521842115, 9780521603089Running 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.List of figures
List of tables
List of boxes
List of acronyms
How to use this book
Simple Regression and Data Analysis
An introduction to ordinary least squares
Running simple regressions: global poverty and growth
Using logs and estimating elasticities: demand for air travel
Hypothesis testing: health expenditures and the quality of life
Multiple Regression and Diagnostic Testing
Multiple regression analysis: housing demand in the UK
Heteroscedasticity: R&D, innovation and economic performance
Autocorrelation: tourism and the environment
Model misspecification: Tobin's q and investment in the USA
Time Series Econometrics
Structural breaks, non-stationarity and spurious regressions: venture capital and computing investment in the USA
Error correction models AND cointegration: consumption and the multiplier in the UK
Advanced Topics
Panel estimation: divorce and income
Binary dependent variables: war and poverty