Key Features of Econometric Analysis, Fifth Edition: Major reorganization of material: The entire text has been reconstructed to help students' understanding of the material. Applied orientation: Students learn how to do econometrics. Balanced coverage of topics: Includes Classical, Bayesian, GMM, maximum likelihood, cross section, and more tune series and panel data. Applications and numerical examples: Detailed solutions to applications that show students how to do the computations. Attention to both linear and non-linear techniques: Software has made non-linear estimation easy, inclusion of this information is now available.
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For a one-year graduate course in Econometrics. This text has two objectives. The first is to introduce students to applied econometrics, including basic techniques in regression analysis and some of the rich variety of models that are used when the linear model proves inadequate or inappropriate. The second is to present students with sufficient theoretical background that they will recognize new variants of the models learned about here as merely natural extensions that fit within a common body of principles. The Fifth Edition features a complete update of techniques and developments, a reorganization of material for improved presentation, and new material and applications.
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