Conditional Moment Estimation of Nonlinear Equation Systems [electronic resource] : With an Application to an Oligopoly Model of Cooperative R&D

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Tác giả: Joachim Inkmann

Ngôn ngữ:

ISBN-13: 978-3642565717

Ký hiệu phân loại: 330.015195 Economics

Thông tin xuất bản: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.

Mô tả vật lý: VIII, 214 p. , online resource.

Bộ sưu tập: Metadata2

ID: 298603

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 to GMM estimation of models frequently encountered in applied microeconometrics. It covers both large sample and small sample properties of conditional moment estimators and provides an application to empirical industrial organization. With its comprehensive and up-to-date coverage of the subject which includes topics like bootstrapping and empirical likelihood techniques, the book addresses scientists, graduate students and professionals in applied econometrics.
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