Book contents
- Frontmatter
- Contents
- Preface
- One Econometric Information Recovery
- Part I Traditional Parametric and Semiparametric Econometric Models: Estimation and Inference
- Part II Formulation and Solution of Stochastic Inverse Problems
- Four A Stochastic-Empirical Likelihood Inverse Problem
- Five A Stochastic Empirical Likelihood Inverse Problem
- Six Kullback-Leibler Information and the Maximum Empirical Exponential Likelihood
- 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
Four - A Stochastic-Empirical Likelihood Inverse Problem
Formulation and Estimation
from Part II - Formulation and Solution of Stochastic Inverse Problems
Published online by Cambridge University Press: 05 June 2012
Book contents
- Frontmatter
- Contents
- Preface
- One Econometric Information Recovery
- Part I Traditional Parametric and Semiparametric Econometric Models: Estimation and Inference
- Part II Formulation and Solution of Stochastic Inverse Problems
- Four A Stochastic-Empirical Likelihood Inverse Problem
- Five A Stochastic Empirical Likelihood Inverse Problem
- Six Kullback-Leibler Information and the Maximum Empirical Exponential Likelihood
- 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
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- Type
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- Information
- An Information Theoretic Approach to Econometrics , pp. 69 - 89Publisher: Cambridge University PressPrint publication year: 2011
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