Book contents
- Frontmatter
- Contents
- Preface
- One Econometric Information Recovery
- Part I Traditional Parametric and Semiparametric Econometric Models: Estimation and Inference
- Two Formulation and Analysis of Parametric and Semiparametric Linear Models
- Three Method of Moments, Generalized Method of Moments, and Estimating Equations
- Part II Formulation and Solution of Stochastic Inverse Problems
- Part III A Family of Minimum Discrepancy Estimators
- Part IV Binary–Discrete Choice Minimum Power Divergence (MPD) Measures
- Part V Optimal Convex Divergence
- Abbreviations
- Index
- References
Two - Formulation and Analysis of Parametric and Semiparametric Linear Models
from Part I - Traditional Parametric and Semiparametric Econometric Models: Estimation and Inference
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Preface
- One Econometric Information Recovery
- Part I Traditional Parametric and Semiparametric Econometric Models: Estimation and Inference
- Two Formulation and Analysis of Parametric and Semiparametric Linear Models
- Three Method of Moments, Generalized Method of Moments, and Estimating Equations
- Part II Formulation and Solution of Stochastic Inverse Problems
- Part III A Family of Minimum Discrepancy Estimators
- Part IV Binary–Discrete Choice Minimum Power Divergence (MPD) Measures
- Part V Optimal Convex Divergence
- Abbreviations
- Index
- References
Summary
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- Type
- Chapter
- Information
- An Information Theoretic Approach to Econometrics , pp. 7 - 35Publisher: Cambridge University PressPrint publication year: 2011