Blackwell UK
Econometric Modeling and Inference
Jean-Pierre Florens, Velayoudom Marimoutou, Anne Peguin-Feissolle
ISBN: 9780521700061
Format: Paperback
Publisher: Cambridge University Press
Presents the main statistical tools of econometrics. More
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'This book is invaluable to researchers and all who are interested in the statistical analysis of time series, microeconomic data, financial and econometric models.' Journal of Applied Statistics
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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.
