Author(s): Jean-Pierre Florens (Author), Velayoudom Marimoutou (Author), Anne Peguin-Feissolle (Author), Josef Perktold (Translator), Marine Carrasco (Translator)
Publisher: Cambridge University Press
Publication Date: July 2, 2007
Language: English
Print length: 518 pages
ISBN-10: 052170006X
ISBN-13: 9780521700061
Book Description
The aim of this book is to present the main statistical tools of econometrics. It covers almost all modern econometric methodology and unifies the approach by using a small number of estimation techniques, many from generalized method of moments (GMM) estimation. The work is in four parts: Part I sets forth statistical methods, Part II covers regression models, Part III investigates dynamic models, and Part IV synthesizes a set of problems that are specific models in structural econometrics, namely identification and overidentification, simultaneity, and unobservability. Many theoretical examples illustrate the discussion and can be treated as application exercises.
Editorial Reviews
Review
“…an updated and well-balanced bird’s-eye view of the basic econometric concepts and analyses with informative references on the respective topics for the benefit of readers’ further study, covering the traditional simultaneous-equation approach as well as the recent parametric and semiparametric time-series analyses.” Yuzo Hosoya, Mathematical Reviews
“… May make a great contribution to teaching the next generation of theoretical econometricians. For the statistician comfortable with formal mathematics, Econometric Modeling and Inference provides an excellent, low-cost opportunity to catch up with what the econometrics subfield has been doing.” Richard Startz, University of Washington for Journal of the American Statistical Association
Book Description
Presents the main statistical tools of econometrics.
About the Author
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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