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Introduces first-year social science undergraduates to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach.
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Introduces first-year social science undergraduates to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 310
- Erscheinungstermin: 28. Mai 2009
- Englisch
- Abmessung: 244mm x 170mm x 17mm
- Gewicht: 620g
- ISBN-13: 9780521603089
- ISBN-10: 0521603080
- Artikelnr.: 26527144
- Verlag: Cambridge University Press
- Seitenzahl: 310
- Erscheinungstermin: 28. Mai 2009
- Englisch
- Abmessung: 244mm x 170mm x 17mm
- Gewicht: 620g
- ISBN-13: 9780521603089
- ISBN-10: 0521603080
- Artikelnr.: 26527144
M. C. Baddeley is Director of Studies (Economics), Fellow and College Lecturer at Gonville and Caius College, University of Cambridge. She is the author of Investment: Theories and Analysis (2003).
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.
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.
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.
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.