A Practical Guide To Economic Forecasting
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A Practical Guide To Economic Forecasting
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Author : Christopher L. Heaton
language : en
Publisher:
Release Date : 2004
A Practical Guide To Economic Forecasting written by Christopher L. Heaton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Economic forecasting categories.
A Practical Guide To Economic Forecasting 2nd Edition
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Author : Christopher Leslie Heaton
language : en
Publisher:
Release Date : 2005-07-01
A Practical Guide To Economic Forecasting 2nd Edition written by Christopher Leslie Heaton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-01 with categories.
Dynamic General Equilibrium Modelling For Forecasting And Policy
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Author : Peter B. Dixon
language : en
Publisher: Elsevier
Release Date : 2002-11-04
Dynamic General Equilibrium Modelling For Forecasting And Policy written by Peter B. Dixon and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-11-04 with Business & Economics categories.
The "Contributions to Economic Analysis" series consists of a number of previously unpublished studies. The term economic analysis is used because it covers the activities of the theoretical economist and the research worker.
Macroeconomic Forecasting
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Author : Peter M. Summers
language : en
Publisher:
Release Date : 2014-04-15
Macroeconomic Forecasting written by Peter M. Summers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-15 with Economic forecasting categories.
This book provides a concise, user-friendly guide to forecasting macroeconomic variables such as GDP growth, the unemployment rate, and inflation. Such forecasts provide important information for many business applications, as developments in the national economy often have significant impacts on specific regions, industries or businesses. The book covers both single- and multiple-equation models, using a minimum of technical detail. The techniques are illustrated with numerous examples, including computer code written for a freely available software program. The book will be a valuable resource for any businessperson seeking to predict and understand trends in the larger economic environment. Practitioners working in such areas as economics, finance, marketing, public administration, and non-profit organizations should find it particularly useful.
Business Forecasting
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Author : A. Reza Hoshmand
language : en
Publisher: Routledge
Release Date : 2009-12-04
Business Forecasting written by A. Reza Hoshmand and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-04 with Business & Economics categories.
The information age has brought greater interconnection across the world, and transformed the global marketplace. To remain competitive, business firms look for ways of improving their ability to gauge business and economic conditions around the world. At the same time, advances in technology have revolutionized the way we process information and prepare business and economic forecasts. Secondary data searches, data collection, data entry and analysis, graphical visualization, and reporting can all be accomplished with the help of computers that provide access to information not previously available. Forecasters should therefore learn the techniques and models involved, as applied in this new era. Business Forecasting: A Practical Approach is intended as an applied text for students and practitioners of forecasting who have some background in economics and statistics. The presentation is conceptual in nature with emphasis on rationale, application, and interpretation of the most commonly used forecasting techniques. The goal of this book is to provide students and managers with an overview of a broad range of techniques and an understanding of the strengths and weaknesses of each approach. It is based on the assumption that forecasting skills are best developed and retained by starting with simple models, followed by repeated exposure to real world examples. The book makes extensive use of international examples to amplify concepts.
Forecasting For Technologists And Engineers
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Author : Brian C. Twiss
language : en
Publisher: IET
Release Date : 1992
Forecasting For Technologists And Engineers written by Brian C. Twiss and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Technology & Engineering categories.
This book is written for all technologists and engineers. To those unfamiliar with forecasting it may appear a somewhat esoteric activity with little relevance to the everyday technical concerns of the reader. This is not so. The aim of this book is to show how forecasting can improve the quality of technical decision making. Furthermore, this can be accomplished without the use of highly sophisticated techniques which can only be applied by specialists. The approaches described in this book can be easily understood and used by all its readers.
Applied Econometrics
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Author : Chung-ki Min
language : en
Publisher: Routledge
Release Date : 2019-03-08
Applied Econometrics written by Chung-ki Min and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-08 with Business & Economics categories.
Applied Econometrics: A Practical Guide is an extremely user-friendly and application-focused book on econometrics. Unlike many econometrics textbooks which are heavily theoretical on abstractions, this book is perfect for beginners and promises simplicity and practicality to the understanding of econometric models. Written in an easy-to-read manner, the book begins with hypothesis testing and moves forth to simple and multiple regression models. It also includes advanced topics: Endogeneity and Two-stage Least Squares Simultaneous Equations Models Panel Data Models Qualitative and Limited Dependent Variable Models Vector Autoregressive (VAR) Models Autocorrelation and ARCH/GARCH Models Unit Root and Cointegration The book also illustrates the use of computer software (EViews, SAS and R) for economic estimating and modeling. Its practical applications make the book an instrumental, go-to guide for solid foundation in the fundamentals of econometrics. In addition, this book includes excerpts from relevant articles published in top-tier academic journals. This integration of published articles helps the readers to understand how econometric models are applied to real-world use cases.
Applied Time Series Analysis
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Author : Terence C. Mills
language : en
Publisher: Academic Press
Release Date : 2019-02-08
Applied Time Series Analysis written by Terence C. Mills and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-08 with Business & Economics categories.
Written for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis technique across disciplines. Carefully balancing accessibility with rigor, it spans economics, finance, economic history, climatology, meteorology, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged down by excessive technical details. Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others. Focuses on practical application of time series analysis, using step-by-step techniques and without excessive technical detail Supported by copious disciplinary examples, helping readers quickly adapt time series analysis to their area of study Covers both univariate and multivariate techniques in one volume Provides expert tips on, and helps mitigate common pitfalls of, powerful statistical software including EVIEWS and R Written in jargon-free and clear English from a master educator with 30 years+ experience explaining time series to novices Accompanied by a microsite with disciplinary data sets and files explaining how to build the calculations used in examples
Nowcasting The Business Cycle
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Author : James Picerno
language : en
Publisher: CreateSpace
Release Date : 2014-04
Nowcasting The Business Cycle written by James Picerno and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04 with Business & Economics categories.
Nowcasting The Business Cycle presents a practical guide for analyzing recession risk—the primary risk factor that drives success and failure in business, finance, wealth management, and so much more. Whether you're an individual investor watching over your retirement account; the owner of a small business; a manager running a billion-dollar pension fund; or a CEO in charge of a global corporation, a large portion of triumph and defeat is closely linked with the broad swings in the economy. The business cycle, in other words, is the mother of all known (and recurring) risk factors. Accordingly, developing a process for assessing the likelihood of this threat is critical. Everyone needs a reliable, timely warning system that's relatively uncomplicated and transparent. Drawing on economic theory and macro's historical record, Nowcasting The Business Cycle outlines a simple but effective model for identifying those times when a new recession has probably started. This isn't forecasting, which is a fool's errand when it comes to the economy. Instead, the goal is recognizing when a majority of key indicators have already reached a tipping point. That may sound like a trivial advantage, but most people—including many economists—don't fully recognize when a recession has begun until the deterioration is obvious. By that point, the opportunity has probably passed for taking defensive measures in your investment portfolio, your business, or your career. The real challenge is less about predicting and more about developing solid intuition for recognizing when the macro threat is exceptionally high. Even a small degree of progress here can provide a considerable boost to your strategic insight. If we can learn the techniques for recognizing a cyclical downturn's presence relatively early—soon after it's begun, or just as it's starting—we'll have an advantage that tends to elude most folks. Nowcasting The Business Cycle provides a roadmap for ensuring that you won't be caught by surprise when the next recession strikes. That's a crucial advantage for one powerful reason: There's always another recession coming.
Economic Forecasting
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Author : Graham Elliott
language : en
Publisher: Princeton University Press
Release Date : 2016-04-05
Economic Forecasting written by Graham Elliott and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-05 with Business & Economics categories.
A comprehensive and integrated approach to economic forecasting problems Economic forecasting involves choosing simple yet robust models to best approximate highly complex and evolving data-generating processes. This poses unique challenges for researchers in a host of practical forecasting situations, from forecasting budget deficits and assessing financial risk to predicting inflation and stock market returns. Economic Forecasting presents a comprehensive, unified approach to assessing the costs and benefits of different methods currently available to forecasters. This text approaches forecasting problems from the perspective of decision theory and estimation, and demonstrates the profound implications of this approach for how we understand variable selection, estimation, and combination methods for forecasting models, and how we evaluate the resulting forecasts. Both Bayesian and non-Bayesian methods are covered in depth, as are a range of cutting-edge techniques for producing point, interval, and density forecasts. The book features detailed presentations and empirical examples of a range of forecasting methods and shows how to generate forecasts in the presence of large-dimensional sets of predictor variables. The authors pay special attention to how estimation error, model uncertainty, and model instability affect forecasting performance. Presents a comprehensive and integrated approach to assessing the strengths and weaknesses of different forecasting methods Approaches forecasting from a decision theoretic and estimation perspective Covers Bayesian modeling, including methods for generating density forecasts Discusses model selection methods as well as forecast combinations Covers a large range of nonlinear prediction models, including regime switching models, threshold autoregressions, and models with time-varying volatility Features numerous empirical examples Examines the latest advances in forecast evaluation Essential for practitioners and students alike