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Econometric Analysis.

GREENE William H.

PEARSON EDUCATION

2020

1166

331.23-GREEN

ECONOMETRIE ; MACROECONOMIE ; MICROECONOMIE ; ANALYSE ECONOMIQUE ; STATISTIQUE ; PROBABILITES ; MATHEMATIQUES


Nbre d'exemplaires : 1
Cote Code barre Commentaire
1 [disponible]

ISBN 13 : 978-1-292-23113-6

Sommaire :
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

Langue : Anglais

Edition : 8ème

Localisation : Bibliothèque Campus de Nice

Support : Papier

Etat : Présent

Propriétaire : Bibliothèque