Greene, William H. <br/><br/>
Econometric Analysis 

 - Global Edition: 8th Edition 
 - London  Pearson Education  2020 
 - 1166 P:,  ill;  24cm 
<br/><br/> Table of Contents<br/><br/>PART I. The Linear Regression Model<br/><br/>1.Econometrics<br/>2. The Linear Regression Model<br/>3. Least Squares<br/>4. Estimating the Regression Model by Least Squares<br/>5. Hypothesis Tests and Model Selection<br/>6. Functional Form, Difference in Differences and Structural Change<br/>7. Nonlinear, Semiparametric and Nonparametric Regression Models<br/>8. Endogeneity and Instrumental Variable Estimation<br/><br/>PART II. Generalized Regression Model and Systems of Equations<br/>9. The Generalized Regression Model and Heteroscedasticity<br/>10. Systems of Regression Equations<br/>11. Models for Panel Data<br/><br/>PART III. Estimation Methodology<br/>12. Estimation Frameworks in Econometrics<br/>13. Minimum Distance Estimation and the Generalized Method of Moments<br/>14. Maximum Likelihood Estimation<br/>15. Simulation-Based Estimation and Inference and Random Parameter Models<br/>16. Bayesian Estimation and Inference<br/><br/>PART IV. Cross Sections, Panel Data and Microeconometrics<br/>17. Binary Outcomes and Discrete Choices<br/>18. Multinomial Choices and Event Counts<br/>19. Limited Dependent Variables, Truncation, Censoring and Sample Selection<br/><br/>PART V. Time Series and Macroeconometrics<br/>20. Serial Correlation<br/>21. Nonstationary Data<br/><br/>PART VI. Appendices<br/><br/>Appendix A: Matrix Algebra<br/><br/>Appendix B: Probability and Distribution Theory<br/><br/>Appendix C: Estimation and Inference<br/><br/>Appendix D: Large Sample Distribution Theory<br/><br/>Appendix E: Computation and Optimization<br/><br/>Appendix F: Data Sets Used In Applications<br/><br/><br/><br/> 
<br/><br/><label>ISBN: </label>9781292231136 
<br/><br/><label>Subjects--Personal Names: </label>
<br/><br/><label>Dewey Class. No.: </label>330.01519  / GRE