Conditional Moment Estimation of Nonlinear Equation Systems

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Generalized method of moments (GMM) estimation of nonlinear systems has two important advantages over conventional maximum likelihood (ML) estimation: GMM estimation usually requires less restrictive distributional assumptions and remains computationally attractive when ML estimation becomes burdensome or even impossible. This book presents an in-depth treatment of the conditional moment approach ...
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Generalized method of moments (GMM) estimation of nonlinear systems has two important advantages over conventional maximum likelihood (ML) estimation: GMM estimation usually requires less restrictive distributional assumptions and remains computationally attractive when ML estimation becomes burdensome or even impossible. This book presents an in-depth treatment of the conditional moment approach ...
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  • Formats: pdf
  • ISBN: 9783642565717
  • Publication Date: 6 Dec 2012
  • Publisher: Springer Berlin Heidelberg
  • Product language: English
  • Drm Setting: DRM