The second edition of this bestselling textbook retains its unique learning-by-doing approach to the study of econometrics. Rather than relying on complex theoretical discussions and complicated mathematics, this book explains econometrics from a practical point of view by walking the student through real-life examples, step by step. The book features: * a wide-ranging collection of examples, with data on mortgages, credit ratings, graduate school admission, fashion sales and more * a clear, concise, writing style that guides you from model formulation, to estimation and hypothesis-testing, through to post-estimation diagnostics * coverage of modern topics such as instrumental variables and panel data * extensive use of Stata and EViews statistical packages with reproductions of their output * an appendix discussing the basic concepts of statistics The second edition has been fully revised and updated, and features two brand new chapters on Quantile Regression Modeling and Multivariate Regression Models, new extended examples accompanied by real-life data, and new student exercises at the end of each chapter. www.palgrave.com/companion/gujarati-econometrics-by-example-2e/ For lecturers: bonus chapters, PowerPoint slides, solutions to all exercises For students: downloadable data sets and chapter summaries
PART I: BASICS OF LINEAR REGRESSION 1. The Linear Regression Model 2. Functional Forms of Regression Models 3. Qualitative Explanatory Variables Regression Models PART II: REGRESSION DIAGNOSTICS 4. Regression Diagnostic I: Multicollinearity 5. Regression Diagnostic II: Heteroscedasticity 6. Regression Diagnostic III: Autocorrelation 7. Regression Diagnostic IV: Model Specification Errors PART III: REGRESSION MODELS WITH CROSS-SECTIONAL DATA 8. Stochastic Regressors and the Method of Instrumental Variables 9. The Logit and Probit Models 10. Multinomial Regression Models 11. Ordinal Regression Models 12. Limited Dependent Variable Regression Models PART IV: TIME SERIES ECONOMETRICS 13. Modeling Count Data 14. Stationary and Nonstationary Time Series 15. Conintegration and Error Correction Models 16. Asset Price Volatility: the ARCH and GARCH Models PART V: SELECTED TOPICS IN ECONOMETRICS 17. Economic Forecasting 18. Panel Data Regression Models 19. Stochastic Regressors and the Method of Instrumental Variables 20. Quantile Regression Modeling 21. Multivariate Regression Models
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