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Simulation Based Encompassing For Non Nested Models
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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:
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.
Book Synopsis Progressive Modelling by : Grayham E. Mizon
Download or read book Progressive Modelling written by Grayham E. Mizon and published by . This book was released on 2002 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explains the encompassing principle: the history of its development and how it relates to a progressive research strategy of evaluating the relative merits of different models, providing alternative explanations for the same phenomena. It shows how it can be tested and presents both theoretical and applied applications. It covers recent results including comparison of non-linear, non-parametric models and simulation-based techniques.
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.
Book Synopsis Non Nested Testing Procedures by : Giuseppe Parigi
Download or read book Non Nested Testing Procedures written by Giuseppe Parigi and published by . This book was released on 1988 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Economic Forecasting by : Graham Elliott
Download or read book Handbook of Economic Forecasting written by Graham Elliott and published by Elsevier. This book was released on 2013-08-23 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. Focuses on innovation in economic forecasting via industry applications Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications Makes details about economic forecasting accessible to scholars in fields outside economics
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:
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.
Book Synopsis Econometric Modeling by : David F. Hendry
Download or read book Econometric Modeling written by David F. Hendry and published by Princeton University Press. This book was released on 2012-06-21 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical economics is to establish sustainable relationships that are both supported by data and interpretable from economic theory. The unified likelihood-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough understanding of econometric techniques. David Hendry and Bent Nielsen introduce modeling for a range of situations, including binary data sets, multiple regression, and cointegrated systems. In each setting, a statistical model is constructed to explain the observed variation in the data, with estimation and inference based on the likelihood function. Substantive issues are always addressed, showing how both statistical and economic assumptions can be tested and empirical results interpreted. Important empirical problems such as structural breaks, forecasting, and model selection are covered, and Monte Carlo simulation is explained and applied. Econometric Modeling is a self-contained introduction for advanced undergraduate or graduate students. Throughout, data illustrate and motivate the approach, and are available for computer-based teaching. Technical issues from probability theory and statistical theory are introduced only as needed. Nevertheless, the approach is rigorous, emphasizing the coherent formulation, estimation, and evaluation of econometric models relevant for empirical research.
Book Synopsis Generalized Method of Moments Estimation by : Laszlo Matyas
Download or read book Generalized Method of Moments Estimation written by Laszlo Matyas and published by Cambridge University Press. This book was released on 1999-04-13 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: The generalized method of moments (GMM) estimation has emerged as providing a ready to use, flexible tool of application to a large number of econometric and economic models by relying on mild, plausible assumptions. The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation as well as insights into the use of these methods in empirical studies. It is also designed to serve as a unified framework for teaching estimation theory in econometrics. Contributors to the volume include well-known authorities in the field based in North America, the UK/Europe, and Australia. The work is likely to become a standard reference for graduate students and professionals in economics, statistics, financial modeling, and applied mathematics.
Book Synopsis Modeling the Reserve Demand to Facilitate Central Bank Operations by : Zhuohui Chen
Download or read book Modeling the Reserve Demand to Facilitate Central Bank Operations written by Zhuohui Chen and published by International Monetary Fund. This book was released on 2023-09 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implementing monetary policy largely consists in controlling short-term interest rates which supposes having a good understanding of banks’ demand for liquidity also called “reserves” at the central bank. This work aims to offer a modeling methodology for estimating the demand for reserves that itself is influenced by various macro and market structure variables. The model can help central banks to identify ”stable points” on the demand for reserves, which correspond to the levels of reserves for which the short-term interest rate volatility is minimal. Both parametric and non-parametric approaches are provided, with a particular focus on capturing the modeling uncertainty and, therefore, facilitating scenario analysis. A method is proposed to test the forecasting performances of different approaches and exogenous regressors combination, finding that simpler parametric expressions provide on balance better performances. Adding variables to both parametric and non-parametric provides better explanations and predictions. The proposed methodology is evaluated using data from the Euro system and the US Federal Reserve System.
Book Synopsis Complex Systems in Finance and Econometrics by : Robert A. Meyers
Download or read book Complex Systems in Finance and Econometrics written by Robert A. Meyers and published by Springer Science & Business Media. This book was released on 2010-11-03 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.
Book Synopsis Spatial Econometrics: Methods and Models by : L. Anselin
Download or read book Spatial Econometrics: Methods and Models written by L. Anselin and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.
Book Synopsis Basic and Advanced Bayesian Structural Equation Modeling by : Sik-Yum Lee
Download or read book Basic and Advanced Bayesian Structural Equation Modeling written by Sik-Yum Lee and published by John Wiley & Sons. This book was released on 2012-07-05 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations. In addition, Bayesian semiparametric SEMs to capture the true distribution of explanatory latent variables are introduced, whilst SEM with a nonparametric structural equation to assess unspecified functional relationships among latent variables are also explored. Statistical methodologies are developed using the Bayesian approach giving reliable results for small samples and allowing the use of prior information leading to better statistical results. Estimates of the parameters and model comparison statistics are obtained via powerful Markov Chain Monte Carlo methods in statistical computing. Introduces the Bayesian approach to SEMs, including discussion on the selection of prior distributions, and data augmentation. Demonstrates how to utilize the recent powerful tools in statistical computing including, but not limited to, the Gibbs sampler, the Metropolis-Hasting algorithm, and path sampling for producing various statistical results such as Bayesian estimates and Bayesian model comparison statistics in the analysis of basic and advanced SEMs. Discusses the Bayes factor, Deviance Information Criterion (DIC), and $L_\nu$-measure for Bayesian model comparison. Introduces a number of important generalizations of SEMs, including multilevel and mixture SEMs, latent curve models and longitudinal SEMs, semiparametric SEMs and those with various types of discrete data, and nonparametric structural equations. Illustrates how to use the freely available software WinBUGS to produce the results. Provides numerous real examples for illustrating the theoretical concepts and computational procedures that are presented throughout the book. Researchers and advanced level students in statistics, biostatistics, public health, business, education, psychology and social science will benefit from this book.
Book Synopsis Econometrics and the Philosophy of Economics by : Bernt P. Stigum
Download or read book Econometrics and the Philosophy of Economics written by Bernt P. Stigum and published by Princeton University Press. This book was released on 2015-12-29 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: As most econometricians will readily agree, the data used in applied econometrics seldom provide accurate measurements for the pertinent theory's variables. Here, Bernt Stigum offers the first systematic and theoretically sound way of accounting for such inaccuracies. He and a distinguished group of contributors bridge econometrics and the philosophy of economics--two topics that seem worlds apart. They ask: How is a science of economics possible? The answer is elusive. Economic theory seems to be about abstract ideas or, it might be said, about toys in a toy community. How can a researcher with such tools learn anything about the social reality in which he or she lives? This book shows that an econometrician with the proper understanding of economic theory and the right kind of questions can gain knowledge about characteristic features of the social world. It addresses varied topics in both classical and Bayesian econometrics, offering ample evidence that its answer to the fundamental question is sound. The first book to comprehensively explore economic theory and econometrics simultaneously, Econometrics and the Philosophy of Economics represents an authoritative account of contemporary economic methodology. About a third of the chapters are authored or coauthored by Heather Anderson, Erik Biørn, Christophe Bontemps, Jeffrey A. Dubin, Harald E. Goldstein, Clive W.J. Granger, David F. Hendry, Herman Ruge-Jervell, Dale W. Jorgenson, Hans-Martin Krolzig, Nils Lid Hjort, Daniel L. McFadden, Grayham E. Mizon, Tore Schweder, Geir Storvik, and Herman K. van Dijk.
Book Synopsis Evaluating Policy Regimes by : Ralph Bryant
Download or read book Evaluating Policy Regimes written by Ralph Bryant and published by Brookings Institution Press. This book was released on 2010-12-01 with total page 1028 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economists have long debated the theoretical merits—for an individual nation and for a multi-nation world economy—of alternative approaches to the conduct of economic policy. Yet theory alone cannot resolve the important issues at stake. Only after the robustness of policy regimes has been carefully examined with empirical evidence will policymakers and economists be able to reach more of a consensus. This pathbreaking volume takes major steps forward in meeting the need for a combination of theoretical and empirical evaluations of alternative policy regimes. Bringing together individuals and groups doing pioneering research on macroeconomic interaction, it explores what approach to monetary policy would lead to superior performance by individual national economies and the world economy as a whole. Many parts of the book use the analytical techniques of stochastic simulation, an evaluation procedure increasingly employed at the frontier of empirical economic analysis. The book provides a summary of the hey issues involved in evaluating policy regimes and clarifies the relationships among those issues. The authors examine the stabilization properties of alternative monetary-policy regimes and analyze how well various regime types perform in the face of unexpected shocks to national economies. Among their conclusions, they find that some simplified regimes for monetary policy are markedly less promising than others for achieving the stabilization objectives commonly sought by policymakers. Evaluating Policy Regimes is another major installment in a continuing world wide research project, sponsored by the Brookings Institution, to improve empirical knowledge about the interdependence of national economies.
Book Synopsis Econometric Model Selection by : Antonio Aznar Grasa
Download or read book Econometric Model Selection written by Antonio Aznar Grasa and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes a new methodology for the selection of one (model) from among a set of alternative econometric models. Let us recall that a model is an abstract representation of reality which brings out what is relevant to a particular economic issue. An econometric model is also an analytical characterization of the joint probability distribution of some random variables of interest, which yields some information on how the actual economy works. This information will be useful only if it is accurate and precise; that is, the information must be far from ambiguous and close to what we observe in the real world Thus, model selection should be performed on the basis of statistics which summarize the degree of accuracy and precision of each model. A model is accurate if it predicts right; it is precise if it produces tight confidence intervals. A first general approach to model selection includes those procedures based on both characteristics, precision and accuracy. A particularly interesting example of this approach is that of Hildebrand, Laing and Rosenthal (1980). See also Hendry and Richard (1982). A second general approach includes those procedures that use only one of the two dimensions to discriminate among models. In general, most of the tests we are going to examine correspond to this category.