Simulation approach to the problem of testing non-nested models

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ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Simulation approach to the problem of testing non-nested models by : M. Hashem Pesaran

Download or read book Simulation approach to the problem of testing non-nested models written by M. Hashem Pesaran and published by . This book was released on 1988 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Simulation Approach to the Problem of Computing Cox's Statistic for Testing Non-nested Models

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ISBN 13 :
Total Pages : 42 pages
Book Rating : 4.:/5 (221 download)

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Book Synopsis A Simulation Approach to the Problem of Computing Cox's Statistic for Testing Non-nested Models by : M. Hashem Pesaran

Download or read book A Simulation Approach to the Problem of Computing Cox's Statistic for Testing Non-nested Models written by M. Hashem Pesaran and published by . This book was released on 1989 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Simulation-based Encompassing for Non-nested Models

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Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Simulation-based Encompassing for Non-nested Models by : Chiara Monfardini

Download or read book Simulation-based Encompassing for Non-nested Models written by Chiara Monfardini and published by . This book was released on 1995 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model Choice in Nonnested Families

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Publisher : Springer
ISBN 13 : 3662537362
Total Pages : 105 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Model Choice in Nonnested Families by : Basilio de Bragança Pereira

Download or read book Model Choice in Nonnested Families written by Basilio de Bragança Pereira and published by Springer. This book was released on 2016-12-30 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3 explores the Bayesian approach, the limitations of the classical Bayes factors and the proposed alternative Bayes factors to overcome these limitations. It also discusses a significance Bayesian procedure. Lastly, Chapter 4 examines the pure likelihood approach. Various real-data examples and computer simulations are provided throughout the text.

Simulation Encompassing

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Simulation Encompassing by : Maozu Lu

Download or read book Simulation Encompassing written by Maozu Lu and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper considers simulation-based procedures to compute the Wald encompassing and the Cox test statistics for non-nested models. These simulation estimation procedures are applied to both the encompassing contrast and its covariance matrix in the case of a Wald non-nested test statistic, and both the numerator and the denominator in the Cox test statistic. The proposed procedures are illustrated by the example of comparing a linear with a log-linear model. Monte Carlo studies are conducted for both examples and the results indicate that with simulated covariance matrices, the small sample behaviour of both test statistics is close to that of their asymptotic distributions.

Testing Non-nested Multilevel Models

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ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.:/5 (17 download)

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Book Synopsis Testing Non-nested Multilevel Models by : Andrew Lawrence Moskowitz

Download or read book Testing Non-nested Multilevel Models written by Andrew Lawrence Moskowitz and published by . This book was released on 2017 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comparing theories represented by statistical models is central to psychological research. Historically, comparisons between so called "non-nested" models have been error prone in the absence of a null hypothesis test. Recent research by Levy and Hancock and Merkle, You, and Preacher has extended Vuong's Likelihood Ratio Test of non-nested models to Structural Equation Models (SEMs). A notable omission of recent work is the extension of Vuong's test to the case of multilevel regression- a common approach for modeling longitudinal or grouped data. This dissertation leverages the similarities between SEMs and multilevel models to extend Vuong's test to the multilevel framework. The logic of Vuong's test as it relates to multilevel regression was explored and a SAS macro developed to facilitate the comparison between two models known to be non-nested a priori. The ability of Vuong's test to select the true or "best" model was compared to that of information criteria in three simulation studies reflecting scenarios in which non-nestedness is commonly encountered in multilevel regression: non-nested covariate sets, level 1 residual covariance structures, and functional forms. Selection rates of the incorrect models were also examined. Vuong's test showed almost no incorrect model selection across all scenarios, although its power to select the correct model was generally modest. Model comparisons among information criteria tended to be more sensitive than Vuong's test but also selected the incorrect model more often. Finally, Vuong's test was applied to three real data sets comparing competing models in the same scenarios as the simulation studies. Implications and recommendations for use are discussed.

Simulation-based Inference in Econometrics

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Publisher : Cambridge University Press
ISBN 13 : 9780521591126
Total Pages : 488 pages
Book Rating : 4.5/5 (911 download)

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Book Synopsis Simulation-based Inference in Econometrics by : Roberto Mariano

Download or read book Simulation-based Inference in Econometrics written by Roberto Mariano and published by Cambridge University Press. This book was released on 2000-07-20 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.

A Companion to Theoretical Econometrics

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Publisher : John Wiley & Sons
ISBN 13 : 047099830X
Total Pages : 736 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis A Companion to Theoretical Econometrics by : Badi H. Baltagi

Download or read book A Companion to Theoretical Econometrics written by Badi H. Baltagi and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. This companion focuses on the foundations of the field and at the same time integrates popular topics often encountered by practitioners. The chapters are written by international experts and provide up-to-date research in areas not usually covered by standard econometric texts. Focuses on the foundations of econometrics. Integrates real-world topics encountered by professionals and practitioners. Draws on up-to-date research in areas not covered by standard econometrics texts. Organized to provide clear, accessible information and point to further readings.

Alternative Approaches to Testing Non-nested Models with Autocorrelated Disturbances

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ISBN 13 :
Total Pages : 612 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Alternative Approaches to Testing Non-nested Models with Autocorrelated Disturbances by : Adolf Gerhard Coenenberg

Download or read book Alternative Approaches to Testing Non-nested Models with Autocorrelated Disturbances written by Adolf Gerhard Coenenberg and published by . This book was released on 1990 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bootstrap Tests for Regression Models

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Publisher : Springer
ISBN 13 : 0230233732
Total Pages : 342 pages
Book Rating : 4.2/5 (32 download)

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Book Synopsis Bootstrap Tests for Regression Models by : L. Godfrey

Download or read book Bootstrap Tests for Regression Models written by L. Godfrey and published by Springer. This book was released on 2009-07-29 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses.

Simulation-based Econometric Methods

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Publisher : OUP Oxford
ISBN 13 : 019152509X
Total Pages : 190 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Simulation-based Econometric Methods by : Christian Gouriéroux

Download or read book Simulation-based Econometric Methods written by Christian Gouriéroux and published by OUP Oxford. This book was released on 1997-01-09 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a new generation of statistical econometrics. After linear models leading to analytical expressions for estimators, and non-linear models using numerical optimization algorithms, the availability of high- speed computing has enabled econometricians to consider econometric models without simple analytical expressions. The previous difficulties presented by the presence of integrals of large dimensions in the probability density functions or in the moments can be circumvented by a simulation-based approach. After a brief survey of classical parametric and semi-parametric non-linear estimation methods and a description of problems in which criterion functions contain integrals, the authors present a general form of the model where it is possible to simulate the observations. They then move to calibration problems and the simulated analogue of the method of moments, before considering simulated versions of maximum likelihood, pseudo-maximum likelihood, or non-linear least squares. The general principle of indirect inference is presented and is then applied to limited dependent variable models and to financial series.

Time Series and Panel Data Econometrics

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Publisher : Oxford University Press, USA
ISBN 13 : 0198759983
Total Pages : 1095 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Time Series and Panel Data Econometrics by : M. Hashem Pesaran

Download or read book Time Series and Panel Data Econometrics written by M. Hashem Pesaran and published by Oxford University Press, USA. This book was released on 2015 with total page 1095 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book describes and illustrates many advances that have taken place in a number of areas in theoretical and applied econometrics over the past four decades.

Cointegration, Causality, and Forecasting

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Publisher : Oxford University Press, USA
ISBN 13 : 9780198296836
Total Pages : 512 pages
Book Rating : 4.2/5 (968 download)

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Book Synopsis Cointegration, Causality, and Forecasting by : Halbert White

Download or read book Cointegration, Causality, and Forecasting written by Halbert White and published by Oxford University Press, USA. This book was released on 1999 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of essays in honour of Clive Granger. The chapters are by some of the world's leading econometricians, all of whom have collaborated with and/or studied with both) Clive Granger. Central themes of Granger's work are reflected in the book with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecast evaluation, non-linear and non-parametric econometric techniques, and overall, a careful blend of practical empirical work and strong theory. The book shows the scope of Granger's research and the range of the profession that has been influenced by his work.

Discrete Choice Methods with Simulation

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Publisher : Cambridge University Press
ISBN 13 : 0521766559
Total Pages : 399 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Discrete Choice Methods with Simulation by : Kenneth Train

Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Testing Nonnested Models of International Relations

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ISBN 13 :
Total Pages : 466 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Testing Nonnested Models of International Relations by : Kevin A. Clarke

Download or read book Testing Nonnested Models of International Relations written by Kevin A. Clarke and published by . This book was released on 2001 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Microeconometrics

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Publisher : Cambridge University Press
ISBN 13 : 9780521848053
Total Pages : 1064 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Microeconometrics by : A. Colin Cameron

Download or read book Microeconometrics written by A. Colin Cameron and published by Cambridge University Press. This book was released on 2005-05-09 with total page 1064 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is oriented to the practitioner.

Forecasting Economic Time Series

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Publisher : Cambridge University Press
ISBN 13 : 9780521634809
Total Pages : 402 pages
Book Rating : 4.6/5 (348 download)

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Book Synopsis Forecasting Economic Time Series by : Michael Clements

Download or read book Forecasting Economic Time Series written by Michael Clements and published by Cambridge University Press. This book was released on 1998-10-08 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a formal analysis of the models, procedures, and measures of economic forecasting with a view to improving forecasting practice. David Hendry and Michael Clements base the analyses on assumptions pertinent to the economies to be forecast, viz. a non-constant, evolving economic system, and econometric models whose form and structure are unknown a priori. The authors find that conclusions which can be established formally for constant-parameter stationary processes and correctly-specified models often do not hold when unrealistic assumptions are relaxed. Despite the difficulty of proceeding formally when models are mis-specified in unknown ways for non-stationary processes that are subject to structural breaks, Hendry and Clements show that significant insights can be gleaned. For example, a formal taxonomy of forecasting errors can be developed, the role of causal information clarified, intercept corrections re-established as a method for achieving robustness against forms of structural change, and measures of forecast accuracy re-interpreted.