Econometrics by Example

Description

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 Cover Short Contents Contents Preface Acknowledgements A Personal Message From The Author List Of Tables List Of Figures Part I: Basics of linear regression 1 Th e linear regression model: an overview 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 specifi cation errors Part III: Topics in cross-section data 8 Th e logit and probit models 9 Multinomial regression models 10 Ordinal regression models 11 Limited dependent variable regression models 12 Modeling count data: the Poisson and negative binomial regression models Part IV: Time series econometrics 13 Stationary and nonstationary time series 14 Cointegration and error correction models 15 Asset price volatility: the ARCH and GARCH models 16 Economic forecasting Part V: Selected topics in econometrics 17 Panel data regression models 18 Survival analysis 19 Stochastic regressors and the method of instrumental variables 20 Beyond OLS: quantile regression 21 Multivariate regression models Appendix 1 Data sets used in the text 2 Statistical appendix Index