Introduces first-year social science undergraduates to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach.

List of figures; List of tables; List of boxes; List of acronyms; How to use this book; Part I. Simple Regression and Data Analysis: 1. An introduction to ordinary least squares; 2. Running simple regressions: global poverty and growth; 3. Using logs and estimating elasticities: demand for air travel; 4. Hypothesis testing: health expenditures and the quality of life; Part II. Multiple Regression and Diagnostic Testing: 5. Multiple regression analysis: housing demand in the UK; 6. Heteroscedasticity: R&D, innovation and economic performance; 7. Autocorrelation: tourism and the environment; 8. Model misspecification: Tobin's q and investment in the USA; Part III. Time Series Econometrics: 9. Structural breaks, non-stationarity and spurious regressions: venture capital and computing investment in the USA; 10. Error correction models AND cointegration: consumption and the multiplier in the UK; Part IV. Advanced Topics: 11. Panel estimation: divorce and income; 12. Binary dependent variables: war and poverty; Index.