Estimation And Inference In Econometrics
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Estimation And Inference In Econometrics
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Author : Russell Davidson
language : en
Publisher:
Release Date : 1993
Estimation And Inference In Econometrics written by Russell Davidson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Econometrics categories.
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
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Author : Halbert White
language : en
Publisher: Cambridge University Press
Release Date : 1996-06-28
Estimation Inference And Specification Analysis written by Halbert White and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-06-28 with Business & Economics categories.
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.
Methods For Estimation And Inference In Modern Econometrics
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Author : Stanislav Anatolyev
language : en
Publisher: CRC Press
Release Date : 2011-06-07
Methods For Estimation And Inference In Modern Econometrics written by Stanislav Anatolyev and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-07 with Business & Economics categories.
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.
Methods For Estimation And Inference In Modern Econometrics
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Author : Nikolay Gospdinov
language : en
Publisher:
Release Date : 2011
Methods For Estimation And Inference In Modern Econometrics written by Nikolay Gospdinov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Methods for Estimation and Inference in Modern Econometrics.
Seemingly Unrelated Regression Equations Models
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Author : Virendera K. Srivastava
language : en
Publisher: CRC Press
Release Date : 2020-08-14
Seemingly Unrelated Regression Equations Models written by Virendera K. Srivastava and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-14 with Mathematics categories.
This book brings together the scattered literature associated with the seemingly unrelated regression equations (SURE) model used by econometricians and others. It focuses on the theoretical statistical results associated with the SURE model.
Improved Methods Of Inference In Econometrics
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Author : George G. Judge
language : en
Publisher: North Holland
Release Date : 1986
Improved Methods Of Inference In Econometrics written by George G. Judge and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Business & Economics categories.
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.
Econometric Foundations Pack With Cd Rom
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Author : Ron Mittelhammer (Prof.)
language : en
Publisher: Cambridge University Press
Release Date : 2000-07-28
Econometric Foundations Pack With Cd Rom written by Ron Mittelhammer (Prof.) and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-28 with Business & Economics categories.
The text and accompanying CD-ROM develop step by step a modern approach to econometric problems. They are aimed at talented upper-level undergraduates, graduate students, and professionals wishing to acquaint themselves with the pinciples and procedures for information processing and recovery from samples of economic data. The text fully provides an operational understanding of a rich set of estimation and inference tools, including tradional likelihood based and non-traditional non-likelihood based procedures, that can be used in conjuction with the computer to address economic problems.
Estimation And Inference In Nonparametric Frontier Models
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Author : Léopold Simar
language : en
Publisher: Now Publishers
Release Date : 2013-05
Estimation And Inference In Nonparametric Frontier Models written by Léopold Simar and has been published by Now Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05 with Business & Economics categories.
Estimation and Inference in Nonparametric Frontier Models provides a thorough examination of this topic for students and researchers alike. Recent work has provided statistical properties of these estimators and methods for making statistical inference has established a link between frontier estimation and extreme value theory. New estimators that avoid many of the problems inherent with traditional efficiency estimators have been developed.
Identification And Inference For Econometric Models
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Author : Donald W. K. Andrews
language : en
Publisher: Cambridge University Press
Release Date : 2005-07-04
Identification And Inference For Econometric Models written by Donald W. K. Andrews and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-04 with Business & Economics categories.
This 2005 volume contains the papers presented in honor of the lifelong achievements of Thomas J. Rothenberg on the occasion of his retirement. The authors of the chapters include many of the leading econometricians of our day, and the chapters address topics of current research significance in econometric theory. The chapters cover four themes: identification and efficient estimation in econometrics, asymptotic approximations to the distributions of econometric estimators and tests, inference involving potentially nonstationary time series, such as processes that might have a unit autoregressive root, and nonparametric and semiparametric inference. Several of the chapters provide overviews and treatments of basic conceptual issues, while others advance our understanding of the properties of existing econometric procedures and/or propose others. Specific topics include identification in nonlinear models, inference with weak instruments, tests for nonstationary in time series and panel data, generalized empirical likelihood estimation, and the bootstrap.
Generalized Method Of Moments
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Author : Alastair R. Hall
language : en
Publisher: OUP Oxford
Release Date : 2004-12-23
Generalized Method Of Moments written by Alastair R. Hall and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-12-23 with Business & Economics categories.
Generalized Method of Moments (GMM) has become one of the main statistical tools for the analysis of economic and financial data. This book is the first to provide an intuitive introduction to the method combined with a unified treatment of GMM statistical theory and a survey of recent important developments in the field. Providing a comprehensive treatment of GMM estimation and inference, it is designed as a resource for both the theory and practice of GMM: it discusses and proves formally all the main statistical results, and illustrates all inference techniques using empirical examples in macroeconomics and finance. Building from the instrumental variables estimator in static linear models, it presents the asymptotic statistical theory of GMM in nonlinear dynamic models. Within this framework it covers classical results on estimation and inference techniques, such as the overidentifying restrictions test and tests of structural stability, and reviews the finite sample performance of these inference methods. And it discusses in detail recent developments on covariance matrix estimation, the impact of model misspecification, moment selection, the use of the bootstrap, and weak instrument asymptotics.