Introduction / 1: |
The Classical Multiple Linear Regression Model / 2: |
Least Squares / 3: |
Finite Sample Properties of the Least Squares Estimator / 4: |
Large Sample Properties of the Least Squares and Instrumental Variables Estimators / 5: |
Inference and Prediction / 6: |
Functional Form and Structural Change / 7: |
Specification Analysis and Model Selection / 8: |
Nonlinear Regression Models / 9: |
Nonspherical Disturbances-The Generalized Regression Model / 10: |
Heteroscedasticity / 11: |
Serial Correlation / 12: |
Models for Panel Data / 13: |
Systems of Regression Equations / 14: |
Simultaneous-Equations Models / 15: |
Estimation Frameworks in Econometrics / 16: |
Maximum Likelihood Estimation / 17: |
The Generalized Method of Moments / 18: |
Models with Lagged Variables / 19: |
Time-Series Models / 20: |
Models for Discrete Choice / 21: |
Limited Dependent Variable and Duration Models / 22: |
Matrix Algebra / Appendix A: |
Probability and Distribution Theory / Appendix B: |
Estimation and Inference / Appendix C: |
Large Sample Distribution Theory / Appendix D: |
Computation and Optimization / Appendix E: |
Data Sets Used in Applications / Appendix F: |
Statistical Tables / Appendix G: |
References |
Author Index |
Subject Index |
Introduction / 1: |
The Classical Multiple Linear Regression Model / 2: |
Least Squares / 3: |
Finite Sample Properties of the Least Squares Estimator / 4: |
Large Sample Properties of the Least Squares and Instrumental Variables Estimators / 5: |
Inference and Prediction / 6: |