Econometric Analysis
Publication details: London Pearson Education 2020Edition: Global Edition: 8th EditionDescription: 1166 P:, ill; 24cmISBN:- 9781292231136
- 8th Edition 330.01519 GRE
Item type | Current library | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
Book Closed Access | Natural Resources and Environmental Sciences Library | 330.01519 GRE (Browse shelf(Opens below)) | 1 | Available | 0029963 |
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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