Exogeneity In Vector Error Correction Models With Purely Exogenous Long Run Paths
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Author | : Jean-Pierre Urbain |
Publisher | : Springer Science & Business Media |
Total Pages | : 201 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 3642957064 |
In the recent years, the study of cointegrated time series and the use of error correction models have become extremely popular in the econometric literature. This book provides an analysis of the notion of (weak) exogeneity, which is necessary to sustain valid inference in sub-systems, inthe framework of error correction models (ECMs). In many practical situations, the applied econometrician wants to introduce "structure" on his/her model in order to get economically meaningful coefficients. For thispurpose, ECMs in structural form provide an appealing framework, allowing the researcher to introduce (theoretically motivated) identification restrictions on the long run relationships. In this case, the validity of the inference will depend on a number of conditions which are investigated here. In particular,we point out that orthogonality tests, often used to test for weak exogeneity or for general misspecification, behave poorly in finite samples and are often not very useful in cointegrated systems.
Author | : Stan Hurn |
Publisher | : Edward Elgar Publishing |
Total Pages | : 264 |
Release | : 2004-01-01 |
Genre | : Business & Economics |
ISBN | : 9781782543756 |
'All of the papers share a high level of practical relevance and usefulness that is sometimes missing in economic research. Indeed, the reader will find that very issue taken up as the theme of Paul Klemperer's delightful essay, and all five papers under the heading of "econometric theory" will be extremely useful for most applied researchers. I hope that the reader will also share my feeling of gratitude toward Ralf Becker and Stan Hurn for putting together this outstanding permanent record of some of the conference's most important contributions.' - From the foreword by James D. Hamilton, University of California, San Diego, US This authoritative collection of papers covers a broad spectrum of topics in theoretical and applied economics and econometrics. The tone of the book is set by Paul Klemperer's contribution on using and abusing economic theory, in which academics are encouraged to widen the scope of their analyses beyond the confines of elegant models which sometimes lack 'real-world' detail. As a result, many of the chapters in this volume share a high degree of practical relevance.
Author | : M. Hashem Pesaran |
Publisher | : |
Total Pages | : 25 |
Release | : 1997 |
Genre | : Economics, Mathematical |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 692 |
Release | : 2005 |
Genre | : Brazil |
ISBN | : |
Author | : Kenneth Train |
Publisher | : Cambridge University Press |
Total Pages | : 399 |
Release | : 2009-07-06 |
Genre | : Business & Economics |
ISBN | : 0521766559 |
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.
Author | : Jeffrey M. Wooldridge |
Publisher | : MIT Press |
Total Pages | : 1095 |
Release | : 2010-10-01 |
Genre | : Business & Economics |
ISBN | : 0262232588 |
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
Author | : Peter S. H. Leeflang |
Publisher | : Springer |
Total Pages | : 725 |
Release | : 2017-08-29 |
Genre | : Business & Economics |
ISBN | : 3319534696 |
This volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended as a follow-on and companion to Modeling Markets (2015), in which the authors presented the basics of modeling markets along the classical steps of the model building process: specification, data collection, estimation, validation and implementation. This volume builds on the concepts presented in Modeling Markets with an emphasis on advanced methods that are used to specify, estimate and validate marketing models, including structural equation models, partial least squares, mixture models, and hidden Markov models, as well as generalized methods of moments, Bayesian analysis, non/semi-parametric estimation and endogeneity issues. Specific attention is given to big data. The market environment is changing rapidly and constantly. Models that provide information about the sensitivity of market behavior to marketing activities such as advertising, pricing, promotions and distribution are now routinely used by managers for the identification of changes in marketing programs that can improve brand performance. In today’s environment of information overload, the challenge is to make sense of the data that is being provided globally, in real time, from thousands of sources. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. This volume provides an authoritative and comprehensive review, with each chapter including: · an introduction to the method/methodology · a numerical example/application in marketing · references to other marketing applications · suggestions about software. Featuring contributions from top authors in the field, this volume will explore current and future aspects of modeling markets, providing relevant and timely research and techniques to scientists, researchers, students, academics and practitioners in marketing, management and economics.
Author | : G. S. Maddala |
Publisher | : Cambridge University Press |
Total Pages | : 528 |
Release | : 1998 |
Genre | : Business & Economics |
ISBN | : 9780521587822 |
A comprehensive review of unit roots, cointegration and structural change from a best-selling author.
Author | : Katarina Juselius |
Publisher | : OUP Oxford |
Total Pages | : 478 |
Release | : 2006-12-07 |
Genre | : Business & Economics |
ISBN | : 0191622966 |
This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the Cointegrated VAR model and its implications for macroeconomic inference when data are non-stationary. The text provides a number of insights into the links between statistical econometric modelling and economic theory and gives a thorough treatment of identification of the long-run and short-run structure as well as of the common stochastic trends and the impulse response functions, providing in each case illustrations of applicability. This book presents the main ingredients of the Copenhagen School of Time-Series Econometrics in a transparent and coherent framework. The distinguishing feature of this school is that econometric theory and applications have been developed in close cooperation. The guiding principle is that good econometric work should take econometrics, institutions, and economics seriously. The author uses a single data set throughout most of the book to guide the reader through the econometric theory while also revealing the full implications for the underlying economic model. To test ensure full understanding the book concludes with the introduction of two new data sets to combine readers understanding of econometric theory and economic models, with economic reality.
Author | : |
Publisher | : Elsevier |
Total Pages | : 458 |
Release | : 2011-08-11 |
Genre | : Mathematics |
ISBN | : 0080471269 |
This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.