General To Specific Modeling PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download General To Specific Modeling PDF full book. Access full book title General To Specific Modeling.
Author | : Julia Campos |
Publisher | : |
Total Pages | : 666 |
Release | : 2005 |
Genre | : Econometric models |
ISBN | : |
Download General-to-specific Modelling Book in PDF, ePub and Kindle
"This paper discusses the econometric methodology of general-to-specific modeling, in which the modeler simplifies an initially general model that adequately characterizes the empirical evidence within his or her theoretical framework. Central aspects of this approach include the theory of reduction, dynamic specification, model selection procedures, model selection criteria, model comparison, encompassing, computer automation, and empirical implementation. This paper thus reviews the theory of reduction, summarizes the approach of general-to-specific modeling, and discusses the econometrics of model selection, noting that general-to-specific modeling is the practical embodiment of reduction. This paper then summarizes fifty-seven articles key to the development of general-to-specific modeling"--Federal Reserve Board web site.
Author | : Julia Campos |
Publisher | : |
Total Pages | : 102 |
Release | : 2005 |
Genre | : Econometric models |
ISBN | : |
Download General-to-specific Modeling Book in PDF, ePub and Kindle
Author | : Wojciech W. Charemza |
Publisher | : |
Total Pages | : 370 |
Release | : 1992 |
Genre | : Econometric models |
ISBN | : |
Download New Directions on Econometric Practice Book in PDF, ePub and Kindle
Author | : Federico Perali |
Publisher | : Springer |
Total Pages | : 343 |
Release | : 2018-05-02 |
Genre | : Business & Economics |
ISBN | : 3319585339 |
Download The New Generation of Computable General Equilibrium Models Book in PDF, ePub and Kindle
This book covers some important topics in the construction of computable general equilibrium (CGE) models and examines use of these models for the analysis of economic policies, their properties, and their implications. Readers will find explanation and discussion of the theoretical structure and practical application of several model typologies, including dynamic, stochastic, micro-macro, and simulation models, as well as different closure rules and policy experiments. The presentation of applications to various country and problem-specific case studies serves to provide an informed and clearly articulated summary of the state of the art and the most important methodological advancements in the field of policy modeling within the framework of general equilibrium analysis. The book is an outcome of a recent workshop of the Italian Development Economists Association attended by a group of leading practitioners involved in the generation of CGE models and research on modeling the economy and policy making. It will be of interest to researchers, professional economists, graduate students, and knowledgeable policy makers.
Author | : Mary E. Burfisher |
Publisher | : Cambridge University Press |
Total Pages | : 443 |
Release | : 2016 |
Genre | : Business & Economics |
ISBN | : 1107132207 |
Download Introduction to Computable General Equilibrium Models Book in PDF, ePub and Kindle
The book provides a hands-on introduction to computable general equilibrium (CGE) models, written at an accessible, undergraduate level.
Author | : Jon Faust |
Publisher | : |
Total Pages | : 60 |
Release | : 1997 |
Genre | : Econometric models |
ISBN | : |
Download General-to-specific Procedures for Fitting a Data-admissible, Theory-inspired, Congruent, Parsimonious, Encompassing, Weakly-exogenous, Identified, Structural Model to the DGP Book in PDF, ePub and Kindle
We characterize the LSE approach by its implications for reduced-form modeling and structural interpretations. Much of what has come to be associated with the LSE methodology involves the approach to fitting reduced forms samples plagued by serial correlation. The policy analysis one might be able to do with an "LSE model," on the other hand, hinges on structural identification arguments which do not meet the classic Cowles Commission standards, and is thus suspect.
Author | : David F. Hendry |
Publisher | : Princeton University Press |
Total Pages | : 377 |
Release | : 2007-03-25 |
Genre | : Business & Economics |
ISBN | : 0691130892 |
Download Econometric Modeling Book in PDF, ePub and Kindle
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.
Author | : Kevin J. Grimm |
Publisher | : Guilford Publications |
Total Pages | : 558 |
Release | : 2016-10-17 |
Genre | : Social Science |
ISBN | : 1462526063 |
Download Growth Modeling Book in PDF, ePub and Kindle
Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.
Author | : J. Michael Scott |
Publisher | : Island Press |
Total Pages | : 940 |
Release | : 2002-02 |
Genre | : Science |
ISBN | : 9781597263054 |
Download Predicting Species Occurrences Book in PDF, ePub and Kindle
Predictions about where different species are, where they are not, and how they move across a landscape or respond to human activities -- if timber is harvested, for instance, or stream flow altered -- are important aspects of the work of wildlife biologists, land managers, and the agencies and policymakers that govern natural resources. Despite the increased use and importance of model predictions, these predictions are seldom tested and have unknown levels of accuracy.Predicting Species Occurrences addresses those concerns, highlighting for managers and researchers the strengths and weaknesses of current approaches, as well as the magnitude of the research required to improve or test predictions of currently used models. The book is an outgrowth of an international symposium held in October 1999 that brought together scientists and researchers at the forefront of efforts to process information about species at different spatial and temporal scales. It is a comprehensive reference that offers an exhaustive treatment of the subject, with 65 chapters by leading experts from around the world that: review the history of the theory and practice of modeling and present a standard terminology examine temporal and spatial scales in terms of their influence on patterns and processes of species distribution offer detailed discussions of state-of-the-art modeling tools and descriptions of methods for assessing model accuracy discuss how to predict species presence and abundance present examples of how spatially explicit data on demographics can provide important information for managers An introductory chapter by Michael A. Huston examines the ecological context in which predictions of species occurrences are made, and a concluding chapter by John A. Wiens offers an insightful review and synthesis of the topics examined along with guidance for future directions and cautions regarding misuse of models. Other contributors include Michael P. Austin, Barry R. Noon, Alan H. Fielding, Michael Goodchild, Brian A. Maurer, John T. Rotenberry, Paul Angermeier, Pierre R. Vernier, and more than a hundred others.Predicting Species Occurrences offers important new information about many of the topics raised in the seminal volume Wildlife 2000 (University of Wisconsin Press, 1986) and will be the standard reference on this subject for years to come. Its state-of-the-art assessment will play a key role in guiding the continued development and application of tools for making accurate predictions and is an indispensable volume for anyone engaged in species management or conservation.
Author | : Amit Gefen |
Publisher | : Springer Science & Business Media |
Total Pages | : 524 |
Release | : 2012-01-05 |
Genre | : Technology & Engineering |
ISBN | : 3642246176 |
Download Patient-Specific Modeling in Tomorrow's Medicine Book in PDF, ePub and Kindle
This book reviews the frontier of research and clinical applications of Patient Specific Modeling, and provides a state-of-the-art update as well as perspectives on future directions in this exciting field. The book is useful for medical physicists, biomedical engineers and other engineers who are interested in the science and technology aspects of Patient Specific Modeling, as well as for radiologists and other medical specialists who wish to be updated about the state of implementation.