Econometric Modeling and Inference

Jean-Pierre Florens (florens@cict.fr), Vêlayoudom Marimoutou (v.marimoutou@ifpindia.org) and Anne Peguin-Feissolle (anne.peguin@univmed.fr)
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Jean-Pierre Florens: GREMAQ - Groupe de recherche en économie mathématique et quantitative - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique
Vêlayoudom Marimoutou: GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique
Anne Peguin-Feissolle: GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique

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Abstract: 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.

Keywords: Econometrics (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (4)

Published in Cambridge University Press. Cambridge University Press, pp.384, 2007, Themes in Modern Econometrics, Eric Ghysels, Peter C. B. Phillips, Richard J. Smith

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00390164

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