Table of Contents

Part I. Information Processing and Recovery

Chapters 1 -2

Part II. Regression Model--Estimation and Inference

Chapters 3 - 6

Part III. Extremum Estimators and Nonlinear and Nonnormal Regression Models

Chapters 7 - 9

Part IV. Avoiding the Parametric Likelihood

Chapters 10 -13

Part V. Generalized Regression Models

Chapters 14 - 15

Part VI. Simultaneous Equation Probability Models and General Moment-Based Estimation and Inference

Chapters 16 - 17

Part VII. Model Discovery

Chapters 18 - 19

Part VIII. Special Econometric Topics

Chapters 20 - 21

Part IX. Bayesian Estimation and Inference

Chapters 22 - 24

Part X. Epilogue

Appendix: Introduction to Computer Simulation and Resampling Methods

© 2000 by Ron C. Mittelhammer, George G. Judge, & Douglas J. Miller

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Copyright © Ron C. Mittelhammer, George G. Judge, 
Douglas J. Miller, 2000.