Empirical Model Discovery And Theory Evaluation


Empirical Model Discovery And Theory Evaluation
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Empirical Model Discovery And Theory Evaluation


Empirical Model Discovery And Theory Evaluation
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Author : David F. Hendry
language : en
Publisher: MIT Press
Release Date : 2014-07-03

Empirical Model Discovery And Theory Evaluation written by David F. Hendry and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-03 with Business & Economics categories.


A synthesis of the authors' groundbreaking econometric research on automatic model selection, which uses powerful computational algorithms and theory evaluation. Economic models of empirical phenomena are developed for a variety of reasons, the most obvious of which is the numerical characterization of available evidence, in a suitably parsimonious form. Another is to test a theory, or evaluate it against the evidence; still another is to forecast future outcomes. Building such models involves a multitude of decisions, and the large number of features that need to be taken into account can overwhelm the researcher. Automatic model selection, which draws on recent advances in computation and search algorithms, can create, and then empirically investigate, a vastly wider range of possibilities than even the greatest expert. In this book, leading econometricians David Hendry and Jurgen Doornik report on their several decades of innovative research on automatic model selection. After introducing the principles of empirical model discovery and the role of model selection, Hendry and Doornik outline the stages of developing a viable model of a complicated evolving process. They discuss the discovery stages in detail, considering both the theory of model selection and the performance of several algorithms. They describe extensions to tackling outliers and multiple breaks, leading to the general case of more candidate variables than observations. Finally, they briefly consider selecting models specifically for forecasting.



Empirical Modeling In Economics


Empirical Modeling In Economics
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Author : Clive W. J. Granger
language : en
Publisher: Cambridge University Press
Release Date : 1999-09-30

Empirical Modeling In Economics written by Clive W. J. Granger and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-09-30 with Business & Economics categories.


Lucid account of the process of constructing and evaluating an empirical model.



Empirical Modeling In Economics


Empirical Modeling In Economics
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Author : Clive William John Granger
language : en
Publisher:
Release Date : 1999

Empirical Modeling In Economics written by Clive William John Granger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Econometrics categories.




The Palgrave Companion To Oxford Economics


The Palgrave Companion To Oxford Economics
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Author : Robert A. Cord
language : en
Publisher: Springer Nature
Release Date : 2021-06-16

The Palgrave Companion To Oxford Economics written by Robert A. Cord and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-16 with Business & Economics categories.


The University of Oxford has been and continues to be one of the most important global centres for economics. With six chapters on themes in Oxford economics and 24 chapters on the lives and work of Oxford economists, this volume shows how economics became established at the University, how it produced some of the world’s best-known economists, including Francis Ysidro Edgeworth, Roy Harrod and David Hendry, and how it remains a global force for the very best in teaching and research in economics. With original contributions from a stellar cast, this volume provides economists – especially those interested in macroeconomics and the history of economic thought – with the first in-depth analysis of Oxford economics.



Empirical Modeling In Economics


Empirical Modeling In Economics
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Author : C. W. J. Granger
language : en
Publisher:
Release Date : 1999

Empirical Modeling In Economics written by C. W. J. Granger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Econometrics categories.




Dynamic Econometrics For Empirical Macroeconomic Modelling


Dynamic Econometrics For Empirical Macroeconomic Modelling
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Author : Ragnar Nymoen
language : en
Publisher: World Scientific
Release Date : 2019-07-09

Dynamic Econometrics For Empirical Macroeconomic Modelling written by Ragnar Nymoen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-09 with Business & Economics categories.


For Masters and PhD students in EconomicsIn this textbook, the duality between the equilibrium concept used in dynamic economic theory and the stationarity of economic variables is explained and used in the presentation of single equations models and system of equations such as VARs, recursive models and simultaneous equations models.The book also contains chapters on: exogeneity, in the context of estimation, policy analysis and forecasting; automatic (computer based) variable selection, and how it can aid in the specification of an empirical macroeconomic model; and finally, on a common framework for model-based economic forecasting.Supplementary materials and notes are available on the publisher's website.



The Explanatory Power Of Models


The Explanatory Power Of Models
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Author : Robert Franck
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

The Explanatory Power Of Models written by Robert Franck and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Political Science categories.


This book progressively works out a method of constructing models which can bridge the gap between empirical and theoretical research in the social sciences. It aims to improve the explanatory power of models. The issue is quite novel, and has benefited from a thorough examination of statistical and mathematical models, conceptual models, diagrams and maps, machines, computer simulations, and artificial neural networks.



Linear Models And Time Series Analysis


Linear Models And Time Series Analysis
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Author : Marc S. Paolella
language : en
Publisher: John Wiley & Sons
Release Date : 2018-12-17

Linear Models And Time Series Analysis written by Marc S. Paolella and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-17 with Mathematics categories.


A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH sets a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series analysis (ARMAX and GARCH), and some multivariate models associated primarily with modeling financial asset returns (copula-based structures and the discrete mixed normal and Laplace). It builds on the author's previous book, Fundamental Statistical Inference: A Computational Approach, which introduced the major concepts of statistical inference. Attention is explicitly paid to application and numeric computation, with examples of Matlab code throughout. The code offers a framework for discussion and illustration of numerics, and shows the mapping from theory to computation. The topic of time series analysis is on firm footing, with numerous textbooks and research journals dedicated to it. With respect to the subject/technology, many chapters in Linear Models and Time-Series Analysis cover firmly entrenched topics (regression and ARMA). Several others are dedicated to very modern methods, as used in empirical finance, asset pricing, risk management, and portfolio optimization, in order to address the severe change in performance of many pension funds, and changes in how fund managers work. Covers traditional time series analysis with new guidelines Provides access to cutting edge topics that are at the forefront of financial econometrics and industry Includes latest developments and topics such as financial returns data, notably also in a multivariate context Written by a leading expert in time series analysis Extensively classroom tested Includes a tutorial on SAS Supplemented with a companion website containing numerous Matlab programs Solutions to most exercises are provided in the book Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH is suitable for advanced masters students in statistics and quantitative finance, as well as doctoral students in economics and finance. It is also useful for quantitative financial practitioners in large financial institutions and smaller finance outlets.



Dynamic Econometrics


Dynamic Econometrics
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Author : David F. Hendry
language : en
Publisher:
Release Date : 1995

Dynamic Econometrics written by David F. Hendry and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.


The main problem in econometric modelling of time series is discovering sustainable and interpretable relationships between observed economic variables. The primary aim of this book is to develop an operational econometric approach which allows constructive modelling. Professor Hendry deals with methodological issues (model discovery, data mining, and progressive research strategies); with major tools for modelling (recursive methods, encompassing, super exogeneity, invariance tests); and with practical problems (collinearity, heteroscedasticity, and measurement errors). He also includes an extensive study of US money demand. The book is self-contained, with the technical background covered in appendices. It is thus suitable for first year graduate students, and includes solved examples and exercises to facilitate its use in teaching. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.



A Macroeconometric Model For Saudi Arabia


A Macroeconometric Model For Saudi Arabia
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Author : Fakhri J. Hasanov
language : en
Publisher: Springer Nature
Release Date : 2023-01-01

A Macroeconometric Model For Saudi Arabia written by Fakhri J. Hasanov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Business & Economics categories.


This Open Access Brief presents the KAPSARC Global Energy Macroeconometric Model (KGEMM). KGEMM is a policy analysis tool for examining the impacts of domestic policy measures and global economic and energy shocks on the Kingdom of Saudi Arabia. The model has eight blocks (real sector, fiscal, monetary, external sector, price, labor and wages, energy, population, and age cohorts) that interact with each other to represent the Kingdom’s macroeconomy and energy linkages. It captures New Keynesian demand-side features anchored to medium-run equilibrium and long-run aggregate supply. It applies a cointegration and equilibrium correction modeling (ECM) methodology to time series data to estimate the model’s behavioral equations in the framework of Autometrics, a general-to-specific econometric modeling strategy. Hence, the model combines ‘theory-driven’ approach with ‘data-driven’ approach. The Brief begins with an introduction to the theoretical framework of the model and the KGEMM methodology and then walks the reader through the structure of the model and its behavioral equations. The book closes with simulations showing the application of the model. Providing a detailed introduction to a cutting-edge, robust predictive model, this Brief will be of great use to researchers and policymakers interested in macroeconomics, energy economics, econometrics, and more specifically, the economy of Saudi Arabia.