Methods for Estimation and Inference in Modern Econometrics

Methods for Estimation and Inference in Modern Econometrics
Author: Stanislav Anatolyev
Publisher: CRC Press
Total Pages: 230
Release: 2011-06-07
Genre: Business & Economics
ISBN: 1439838267

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This book covers important topics in econometrics. It discusses methods for efficient estimation in models defined by unconditional and conditional moment restrictions, inference in misspecified models, generalized empirical likelihood estimators, and alternative asymptotic approximations. The first chapter provides a general overview of established nonparametric and parametric approaches to estimation and conventional frameworks for statistical inference. The next several chapters focus on the estimation of models based on moment restrictions implied by economic theory. The final chapters cover nonconventional asymptotic tools that lead to improved finite-sample inference.

Econometric Modeling and Inference

Econometric Modeling and Inference
Author: Jean-Pierre Florens
Publisher: Cambridge University Press
Total Pages: 17
Release: 2007-07-02
Genre: Business & Economics
ISBN: 1139466771

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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.

Estimation and Inference in Econometrics

Estimation and Inference in Econometrics
Author: Russell Davidson
Publisher:
Total Pages: 906
Release: 1993
Genre: Econometrics
ISBN:

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Offering students a unifying theoretical perspective, this innovative text emphasizes nonlinear techniques of estimation, including nonlinear least squares, nonlinear instrumental variables, maximum likelihood and the generalized method of moments, but nevertheless relies heavily on simple geometrical arguments to develop intuition. One theme of the book is the use of artificial regressions for estimation, inference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, series correlation, heteroskedasticity and other types of misspecification. Other topics include the linear simultaneous equations model, non-nested hypothesis tests, influential observations and leverage, transformations of the dependent variable, binary response models, models for time-series/cross-section data, multivariate models, seasonality, unit roots and cointegration, and Monte Carlo methods, always with an emphasis on problems that arise in applied work.Explaining throughout how estimates can be obtained and tests can be carried out, the text goes beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. A comprehensive and coherent guide to the most vital topics in econometrics today, this text is indispensable for all levels of students of econometrics, economics, and statistics on regression and related topics.

Estimation, Inference and Specification Analysis

Estimation, Inference and Specification Analysis
Author: Halbert White
Publisher: Cambridge University Press
Total Pages: 396
Release: 1996-06-28
Genre: Business & Economics
ISBN: 9780521574464

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This book examines the consequences of misspecifications for the interpretation of likelihood-based methods of statistical estimation and interference. The analysis concludes with an examination of methods by which the possibility of misspecification can be empirically investigated.

Improved Methods of Inference in Econometrics

Improved Methods of Inference in Econometrics
Author: George G. Judge
Publisher: North Holland
Total Pages: 316
Release: 1986
Genre: Business & Economics
ISBN:

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This book has as its general objective the improvement of estimation rules for linear statistical models and the development of estimating procedures, to be used with a single data set, that are appropriate to economic decision problems. Advances in the estimating procedure are brought about by changing: (i) the statistical model, (ii) the amount of information used, and (iii) the measure of performance. Within this context the book considers estimation and hypothesis testing when sample information and non-sample information of an inequality form are combined. Also evaluated are: the statistical consequences of using traditional and non-traditional estimators when the error assumptions are weakened; and the precision and statistical implications of new Stein estimators.

Advanced Econometric Methods

Advanced Econometric Methods
Author: Francisco Blasques
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN: 9789083047522

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Econometric Theory and Methods

Econometric Theory and Methods
Author: Russell Davidson
Publisher: OUP Oxford
Total Pages: 768
Release: 2009-04-30
Genre: Business & Economics
ISBN: 9780195391053

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Econometric Theory and Methods International Edition provides a unified treatment of modern econometric theory and practical econometric methods. The geometrical approach to least squares is emphasized, as is the method of moments, which is used to motivate a wide variety of estimators and tests. Simulation methods, including the bootstrap, are introduced early and used extensively. The book deals with a large number of modern topics. In addition to bootstrap and Monte Carlo tests, these include sandwich covariance matrix estimators, artificial regressions, estimating functions and the generalized method of moments, indirect inference, and kernel estimation. Every chapter incorporates numerous exercises, some theoretical, some empirical, and many involving simulation.

Advanced Econometric Methods

Advanced Econometric Methods
Author: Thomas B. Fomby
Publisher: Springer Science & Business Media
Total Pages: 637
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1441987460

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This book had its conception in 1975in a friendly tavern near the School of Businessand PublicAdministration at the UniversityofMissouri-Columbia. Two of the authors (Fomby and Hill) were graduate students of the third (Johnson), and were (and are) concerned about teaching econometrics effectively at the graduate level. We decided then to write a book to serve as a comprehensive text for graduate econometrics. Generally, the material included in the bookand itsorganization have been governed by the question, " Howcould the subject be best presented in a graduate class?" For content, this has meant that we have tried to cover " all the bases " and yet have not attempted to be encyclopedic. The intended purpose has also affected the levelofmathematical rigor. We have tended to prove only those results that are basic and/or relatively straightforward. Proofs that would demand inordinant amounts of class time have simply been referenced. The book is intended for a two-semester course and paced to admit more extensive treatment of areas of specific interest to the instructor and students. We have great confidence in the ability, industry, and persistence of graduate students in ferreting out and understanding the omitted proofs and results. In the end, this is how one gains maturity and a fuller appreciation for the subject in any case. It is assumed that the readers of the book will have had an econometric methods course, using texts like J. Johnston's Econometric Methods, 2nd ed.