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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. "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 professional lives." - Michael J. Meese, US Military Academy, West Point, USA "This comprehensive book covers the basic and the most important advanced statistical techniques that economists and social scientists need to conduct empirical research. The techniques are discussed in a sequence that demonstrates their connections, their strengths and weaknesses, as well as their applicability and appropriateness for different types of data. The discussions are accessible and clear." - Paul Solano, University of Delaware, USA "Dr Gujarati's lucid, simple and extraordinary style of exposition makes students learn critical concepts quickly. His book is essential for econometrics classes all over the world." - Kishore G. Kulkarni, Distinguished Professor of Economics and Editor, Indian Journal of Economics and Business

Econometrics by Example

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.