The Implementation and Constructive Use of Misspecification Tests in Econometrics

The Implementation and Constructive Use of Misspecification Tests in Econometrics PDF

Author: L. G. Godfrey

Publisher: Manchester University Press

Published: 1992

Total Pages: 402

ISBN-13: 9780719032745

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This is a collection of papers co-authored by members of the Department of Economics and Related Studies and the Institute for Research in the Social Sciences at the University of York, which deals with methods for calculating asymptotically valid tests for use with samples of the size available in empirical economics. The papers also address the scope for using test statistics to determine the nature of specification errors and for providing suitable corrections to estimates or parameters.

Misspecification Tests in Econometrics

Misspecification Tests in Econometrics PDF

Author: L. G. Godfrey

Publisher: Cambridge University Press

Published: 1988

Total Pages: 276

ISBN-13: 9780521424592

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Misspecification tests play an important role in detecting unreliable and inadequate economic models. This book brings together many results from the growing literature in econometrics on misspecification testing. It provides theoretical analyses and convenient methods for application. The main emphasis is on the Lagrange multiplier principle, which provides considerable unification, although several other approaches are also considered. The author also examines general checks for model adequacy that do not involve formulation of an alternative hypothesis. General and specific tests are discussed in the context of multiple regression models, systems of simultaneous equations, and models with qualitative or limited dependent variables.

Estimation, Inference and Specification Analysis

Estimation, Inference and Specification Analysis PDF

Author: Halbert White

Publisher: Cambridge University Press

Published: 1996-06-28

Total Pages: 396

ISBN-13: 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.

Studies in Econometrics, Time Series, and Multivariate Statistics

Studies in Econometrics, Time Series, and Multivariate Statistics PDF

Author: Samuel Karlin

Publisher: Academic Press

Published: 2014-05-10

Total Pages: 591

ISBN-13: 1483268039

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Studies in Econometrics, Time Series, and Multivariate Statistics covers the theoretical and practical aspects of econometrics, social sciences, time series, and multivariate statistics. This book is organized into three parts encompassing 28 chapters. Part I contains studies on logit model, normal discriminant analysis, maximum likelihood estimation, abnormal selection bias, and regression analysis with a categorized explanatory variable. This part also deals with prediction-based tests for misspecification in nonlinear simultaneous systems and the identification in models with autoregressive errors. Part II highlights studies in time series, including time series analysis of error-correction models, time series model identification, linear random fields, segmentation of time series, and some basic asymptotic theory for linear processes in time series analysis. Part III contains papers on optimality properties in discrete multivariate analysis, Anderson’s probability inequality, and asymptotic distributions of test statistics. This part also presents the comparison of measures, multivariate majorization, and of experiments for some multivariate normal situations. Studies on Bayes procedures for combining independent F tests and the limit theorems on high dimensional spheres and Stiefel manifolds are included. This book will prove useful to statisticians, mathematicians, and advance mathematics students.

Robustness Tests for Quantitative Research

Robustness Tests for Quantitative Research PDF

Author: Eric Neumayer

Publisher: Cambridge University Press

Published: 2017-08-17

Total Pages: 269

ISBN-13: 1108415393

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This highly accessible book presents robustness testing as the methodology for conducting quantitative analyses in the presence of model uncertainty.