Jean-Pierre Florens, Vêlayoudom Marimoutou, Anne Péguin-Feissolle ; translated by Josef Perktold and Marine Carrasco ; foreword by James J. Heckman.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York :
Name of Publisher, Distributor, etc.
Cambridge University Press,
Date of Publication, Distribution, etc.
2007.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xxi, 496 pages)
SERIES
Series Title
Themes in modern econometrics
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 477-492) and index.
CONTENTS NOTE
Text of Note
pt. I. Statistical methods. Statistical models -- Sequential models and asymptotics -- Estimation by maximization and by the method of moments -- Asymptotic tests -- Nonparametric methods -- Simulation methods -- pt. II. Regression models. Conditional expectation -- Univariate regression -- Generalized least squares method, heteroskedasticity, and multivariate regression -- Nonparametric estimation of the regression -- Discrete variables and partially observed models -- pt. III. Dynamic models. Stationary dynamic models -- Nonstationary processes and cointegration -- Models for conditional variance -- Nonlinear dynamic models -- pt. IV. Structural modeling. Identification and overidentification in structural modeling -- Simultaneity -- Models with unobservable variables.
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SUMMARY OR ABSTRACT
Text of Note
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.