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Econometric Analysis, Global Edition

Econometric Analysis, Global Edition

Authors
Publisher Pearson Education
Year 01/12/2019
Edition 8
Pages 1168
Version paperback
Readership level College/higher education
Language English
ISBN 9781292231136
Categories Economics
Replaces 9780273753568
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281.00 PLN / €61.14 / £56.15
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Book description

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.

 

For first-year graduate courses in Econometrics for Social Scientists.

 

Bridging the gap between social science studies and econometric analysis

Designed to bridge the gap between social science studies and field-econometrics, Econometric Analysis, 8th Edition, Global Edition, presents this ever-growing area at an accessible graduate level. The book first introduces students to basic techniques, a rich variety of models, and underlying theory that is easy to put into practice. It then presents students with a sufficient theoretical background to understand advanced techniques and to recognize new variants of established models. This focus, along with hundreds of worked numerical examples, ensures that students can apply the theory to real-world application and are prepared to be successful economists in the field.

Econometric Analysis, Global Edition

Table of contents

PART I. The Linear Regression Model

1.Econometrics
2. The Linear Regression Model
3. Least Squares
4. Estimating the Regression Model by Least Squares
5. Hypothesis Tests and Model Selection
6. Functional Form, Difference in Differences and Structural Change
7. Nonlinear, Semiparametric and Nonparametric Regression Models
8. Endogeneity and Instrumental Variable Estimation

PART II. Generalized Regression Model and Systems of Equations

9. The Generalized Regression Model and Heteroscedasticity

10. Systems of Regression Equations

11. Models for Panel Data

 

PART III. Estimation Methodology

12. Estimation Frameworks in Econometrics

13. Minimum Distance Estimation and the Generalized Method of Moments

14. Maximum Likelihood Estimation

15. Simulation-Based Estimation and Inference and Random Parameter Models

16. Bayesian Estimation and Inference

 

PART IV. Cross Sections, Panel Data and Microeconometrics

17. Binary Outcomes and Discrete Choices

18. Multinomial Choices and Event Counts

19. Limited Dependent Variables, Truncation, Censoring and Sample Selection

 

PART V. Time Series and Macroeconometrics

20. Serial Correlation

21. Nonstationary Data

 

PART VI. Appendices

Appendix A: Matrix Algebra

Appendix B: Probability and Distribution Theory

Appendix C: Estimation and Inference

Appendix D: Large Sample Distribution Theory

Appendix E: Computation and Optimization

Appendix F: Data Sets Used In Applications

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