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Econometrics by Example (PDF eBook) 2nd edition


Econometrics by Example (PDF eBook) 2nd edition

eBook by Gujarati, Damodar

Econometrics by Example (PDF eBook)

WAS £59.39   SAVE £11.88

£47.51

ISBN:
9781137375025
Publication Date:
16 Sep 2017
Edition:
2nd edition
Publisher:
Bloomsbury Publishing
Imprint:
Bloomsbury Academic
Pages:
504 pages
Format:
eBook
For delivery:
Download available
Econometrics by Example (PDF eBook)

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

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.

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