Econometric Modeling and Inference
(Part of the Themes in Modern Econometrics Series)
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Book Overview
Presents the main statistical tools of econometrics, focusing specifically on modern econometric methodology. The authors unify the approach by using a small number of estimation techniques, mainly generalized method of moments (GMM) estimation and kernel smoothing. The choice of GMM is explained by its relevance in structural econometrics and its preeminent position in econometrics overall. Split into four parts, Part I explains general methods. Part II studies statistical models that are best suited for microeconomic data. Part III deals with dynamic models that are designed for macroeconomic and financial applications. In Part IV the authors synthesize a set of problems that are specific to statistical methods in structural econometrics, namely identification and over-identification, simultaneity, and unobservability. Many theoretical examples illustrate the discussion and can be treated as application exercises. Nobel Laureate James A. Heckman offers a foreword to the work.
Format:Paperback
Language:English
ISBN:052170006X
ISBN13:9780521700061
Release Date:July 2007
Publisher:Cambridge University Press
Length:518 Pages
Weight:1.51 lbs.
Dimensions:1.1" x 6.2" x 8.9"
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