Econometrics By Example

By (author) Gujarati Damodar
Short description/annotation
The new edition of this successful econometrics textbook retains an example-led, learning-by-doing approach without complex theoretical discussions or complicated mathematics. It now offers fresh new examples, student exercises, as well as two brand new chapters: Quantile Regression Modeling and Multivariate Regression Models.
Description
The second edition of this bestselling textbook retains its unique learning-by-doing approach to 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. Damodar Gujarati’s clear, concise, writing style guides students from model formulation, to estimation and hypothesis-testing, through to post-estimation diagnostics. The basic statistics needed to follow the book are covered in an appendix, making the book a flexible and self-contained learning resource. The textbook is ideal for undergraduate students in economics, business, marketing, finance, operations research and related disciplines. It is also intended for students in MBA programs across the social sciences, and for researchers in business, government and research organizations who require econometrics. New to this Edition: - Two brand new chapters on Quantile Regression Modeling and Multivariate Regression Models. - Two further additional chapters on hierarchical linear regression models and bootstrapping are available on the book’s website - New extended examples accompanied by real-life data - New student exercises at the end of each chapter Accompanying online resources for this title can be found at bloomsburyonlineresources.com/econometrics-by-example-2. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
Table of contents
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.
Review quote
"This innovative textbook continues to be an invaluable resource for all students of econometrics." - Frank J. Fabozzi, EDHEC Business School, France "Gujarati makes state-of-the-art econometric procedures accessible to readers with limited technical backgrounds. As usual, the writing is crisp and clear, making it a pleasure to read." - Michael Grossman, City University of New York Graduate Center, USA "Gujarati''s wonderful text provides a no-clutter way of learning intermediate econometrics with solid real-world examples." - Jin Suk Park, University of Durham, UK "The clear writing, numerous examples and figures, clear summaries, and useful exercises make Econometrics by Example the ideal text for learning econometrics. Moreover, it is also the perfect reference for students who wish to apply econometrics in other courses and in their