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Introduction to Econometrics (PDF eBook) New edition


Introduction to Econometrics (PDF eBook) New edition

eBook by Wooldridge, Jeffrey

Introduction to Econometrics (PDF eBook)

£51.50

ISBN:
9781473707948
Publication Date:
06 Dec 2013
Edition:
New edition
Publisher:
Cengage
Imprint:
Cengage Learning
Pages:
912 pages
Format:
eBook
For delivery:
Download available
Introduction to Econometrics (PDF eBook)

Description

This title has been adapted for use in Europe, the Middle East and Africa and has been tailored to meet the demands of todays lecturers and students.Jeffrey M. Wooldridges Introduction to Econometrics shows how econometrics is a useful tool for answering questions in business, policy evaluation and forecasting environments. Packed with timely, relevant applications, the text incorporates close to 100 intriguing data sets, available in six formats, with appendices and questions available online.Unique organization pioneered by the author clearly presents applications for today's students. This comprehensive econometrics text pioneered the approach of explicitly covering cross-sectional applications first, followed by time series applications, and, ultimately, panel data applications in the advanced chapters.Practical application prepares students to use econometrics in business today. This unique, comprehensive text applies econometrics to actual real business problems, demonstrating how each method answers a particular issue facing researchers who are analyzing non-experimental data.

Contents

1. The Nature of Econometrics and Economic Data 2. The Simple Regression Model 3. Multiple Regression Analysis: Estimation 4. Multiple Regression Analysis: Inference 5. Multiple Regression Analysis: OLS Asymptotics 6. Multiple Regression Analysis: Further Issues 7. Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables 8. Heteroskedasticity 9. More on Specification and Data Issues 10. Basic Regression Analysis with Time Series Data 11. Further Issues in Using OLS with Time Series Data 12. Serial Correlation and Heteroskedasticity 13. Pooling Cross Sections Across Time: Simple Panel Data Methods 14. Advanced Panel Data Methods 15. Instrumental Variables Estimation and Two Stage Least Squares 16. Simultaneous Equations Models 17. Limited Dependant Variable Models and Sample Selection Corrections 18. Advanced Time Series Topics 19. Carrying Out an Empirical Project

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