Articles liés à Econometric Modeling and Inference
Synopsis
Presents the main statistical tools of econometrics.
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À propos des auteurs
Jean-Pierre Florens is Professor of Mathematics at the University of Toulouse I, where he holds the Chair in Statistics and Econometrics, and a senior member of the Institut Universitaire de France. He is also a member of the IDEI and GREMAQ research groups. Professor Florens' research interests include: statistics and econometrics methods, applied econometrics, and applied statistics. He is coauthor of Elements of Bayesian Statistics with Michel Mouchart and Jean-Marie Rolin (1990). The editor or co-editor of several econometrics and statistics books, he has also published numerous articles in the major econometric reviews, such as Econometrica, Journal of Econometrics, and Econometric Theory.
Vêlayoudom Marimoutou is Professor of Economics at the University of Aix-Marseille 2 and a member of GREQAM. His research fields include: time series analysis, non-stationary processes, long range dependence, and applied econometrics of exchange rates, finance, macroeconometrics, convergence, and international trade. His articles have appeared in publications such as the Journal of International Money and Finance, Oxford Bulletin of Economics and Statistics, and the Journal of Applied Probability.
Anne Peguin-Feissolle is Research Director of the National Center of Scientific Research (CNRS) and a member of the GREQAM. She conducts research on econometric modelling, especially nonlinear econometrics, applications to macroeconomics, finance, spatial economics, artificial neural network modelling, and long memory problems. Professor Peguin-Feissolle's published research has appeared in Economics Letters, Economic Modelling, European Economic Review, Applied Economics, and the Annales d'Economie et de Statistique, among other publications.
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Econometric Modeling and Inference (Themes in Modern Econometrics)
Edité par
Cambridge University Press, 2007
ISBN 10 : 0521876400
ISBN 13 : 9780521876407
Ancien ou d'occasion
Couverture rigide
Vendeur : Ammareal, Morangis, France
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Hardcover. Etat : Très bon. Ancien livre de bibliothèque. Edition 2007. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2007. Ammareal gives back up to 15% of this item's net price to charity organizations. N° de réf. du vendeur F-779-781
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Econometric Modeling and Inference
Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. 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 s. N° de réf. du vendeur 594766771
Quantité disponible : 5 disponible(s)
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Econometric Modeling and Inference
Edité par
Cambridge University Press Jul 2007, 2007
ISBN 10 : 0521876400
ISBN 13 : 9780521876407
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9780521876407
Quantité disponible : 2 disponible(s)