Econometric Analysis

Part I: The Linear Regression Model
Chapter 1: Econometrics
Chapter 2: The Linear Regression Model
Chapter 3: Least Squares
Chapter 4: The Least Squares Estimator
Chapter 5: Hypothesis Tests and Model Selection
Chapter 6: Functional Form and Structural Change
Chapter 7: Nonlinear, Semiparametric, and Nonparametric Regression Models
Chapter 8: Endogeneity and Instrumental Variable Estimation


Part II: Generalized Regression Model and Equation Systems
Chapter 9: The Generalized Regression Model and Heteroscedasticity
Chapter 10: Systems of Equations
Chapter 11: Models for Panel Data


Part III: Estimation Methodology
Chapter 12: Estimation Frameworks in Econometrics
Chapter 13: Minimum Distance Estimation and the Generalized Method of Moments
Chapter 14: Maximum Likelihood Estimation
Chapter 15: Simulation-Based Estimation and Inference
Chapter 16: Bayesian Estimation and Inference


Part IV: Cross Sections, Panel Data, and Microeconometrics
Chapter 17: Discrete Choice
Chapter 18: Discrete Choices and Event Counts
Chapter 19: Limited Dependent Variables-Truncation, Censoring, and Sample Selection


Part V: Time Series and Macroeconometrics
Chapter 20: Serial Correlation
Chapter 21: Models with Lagged Variables
Chapter 22: Time-Series Models
Chapter 23: 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
Appendix G: Statistical Tables