Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Advances in Economic Forecasting PDF full book. Access full book title Advances in Economic Forecasting by Matthew L. Higgins. Download full books in PDF and EPUB format.
Author: Matthew L. Higgins Publisher: W.E. Upjohn Institute ISBN: 0880993936 Category : Economic forecasting Languages : en Pages : 192
Book Description
The book's contributors assess the performance of economic forecasting methods, argue that data can be better exploited through model and forecast combination, and advocate for models that are adaptive and perform well in the presence of nonlinearity and structural change.
Author: Matthew L. Higgins Publisher: W.E. Upjohn Institute ISBN: 0880993936 Category : Economic forecasting Languages : en Pages : 192
Book Description
The book's contributors assess the performance of economic forecasting methods, argue that data can be better exploited through model and forecast combination, and advocate for models that are adaptive and perform well in the presence of nonlinearity and structural change.
Author: Graham Elliott Publisher: Elsevier ISBN: 0444627405 Category : Business & Economics Languages : en Pages : 667
Book Description
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
Author: Graham Elliott Publisher: Princeton University Press ISBN: 0691140138 Category : Business & Economics Languages : en Pages : 566
Book Description
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
Author: G. Elliott Publisher: Elsevier ISBN: 0080460674 Category : Business & Economics Languages : en Pages : 1070
Book Description
Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting. The handbook covers developments in how forecasts are constructed based on multivariate time-series models, dynamic factor models, nonlinear models and combination methods. The handbook also includes chapters on forecast evaluation, including evaluation of point forecasts and probability forecasts and contains chapters on survey forecasts and volatility forecasts. Areas of applications of forecasts covered in the handbook include economics, finance and marketing. *Addresses economic forecasting methodology, forecasting models, forecasting with different data structures, and the applications of forecasting methods *Insights within this volume can be applied to economics, finance and marketing disciplines
Author: Peter Fuleky Publisher: Springer Nature ISBN: 3030311503 Category : Business & Economics Languages : en Pages : 716
Book Description
This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.
Author: G.I. Treyz Publisher: Springer Science & Business Media ISBN: 9401728747 Category : Business & Economics Languages : en Pages : 522
Book Description
Regional economic models are the key to predicting the effects of transportation, economic development, energy, fiscal and environmental policies. Despite this, the principal regional economic policy analysis model used throughout the United States by government agencies, universities, and the private sector has not been presented in a book until now. The approach to building, understanding and using regional models presented in Regional Economic Models: A Systematic Approach to Forecasting and Policy Analysis is progressive. It begins with the simplest possible models and concludes with a full presentation of the leading model used by policy makers today. The full details are presented along with facilitating software, which is made available so that the reader can build a prototype model for any state or country and can perform policy simulations with full operational models for a sample area. Policy studies are discussed that have been carried out with the model, as well as the range of ways in which policies can be tested through policy simulations. The necessary background is developed for understanding the ways in which models can be used to improve the basis upon which policies are evaluated, as well as the sensitivity of the predicted effects to the model chosen for the analysis. The presentation is multifaceted and includes equations, diagrams and numerical examples. The professional literature is integrated with introductory materials to produce the first comprehensive book on regional modeling that extends from economic base models to modeling advances that are currently being published in economic journals.
Author: Kajal Lahiri Publisher: Cambridge University Press ISBN: 9780521438582 Category : Business & Economics Languages : en Pages : 488
Book Description
Developed fifty years ago by the National Bureau of Economic Research, the analytic methods of business cycles and economic indicators enable economists to forecast economic trends by examining the repetitive sequences that occur in business cycles. The methodology has proven to be an inexpensive and useful tool that is now used extensively throughout the world. In recent years, however, significant new developments have emerged in the field of business cycles and economic indicators. This volume contains twenty-two articles by international experts who are working with new and innovative approaches to indicator research. They cover advances in three broad areas of research: the use of new developments in economic theory and time-series analysis to rationalise existing systems of indicators; more appropriate methods to evaluate the forecasting records of leading indicators, particularly of turning point probability; and the development of new indicators.
Author: C. W. J. Granger Publisher: Academic Press ISBN: 1483273598 Category : Business & Economics Languages : en Pages : 236
Book Description
Forecasting in Business and Economics presents a variety of forecasting techniques and problems. This book discusses the importance of the selection of a relevant information set. Organized into 12 chapters, this book begins with an overview of the forecasting techniques that are useful in decision making. This text then discusses the difficulties in interpreting an apparent trend and discusses its implications. Other chapters consider how a time series is analyzed and forecast by discussing the methods by which a series can be generated. This book discusses as well the views of most academic time series analysts regarding the usefulness of searches for cycles in most economic and business series. The final chapter deals with the techniques developed for forecasting. This book is a valuable resource for senior undergraduates in business, economics, commerce, and management. Graduate students in operations research and production engineering will also find this book extremely useful.
Author: Michael P. Clements Publisher: John Wiley & Sons ISBN: 140517191X Category : Social Science Languages : en Pages : 616
Book Description
A Companion to Economic Forecasting provides an accessible and comprehensive account of recent developments in economic forecasting. Each of the chapters has been specially written by an expert in the field, bringing together in a single volume a range of contrasting approaches and views. Uniquely surveying forecasting in a single volume, the Companion provides a comprehensive account of the leading approaches and modeling strategies that are routinely employed.
Author: C. W. J. Granger Publisher: Academic Press ISBN: 1483273245 Category : Business & Economics Languages : en Pages : 352
Book Description
Economic Theory, Econometrics, and Mathematical Economics, Second Edition: Forecasting Economic Time Series presents the developments in time series analysis and forecasting theory and practice. This book discusses the application of time series procedures in mainstream economic theory and econometric model building. Organized into 10 chapters, this edition begins with an overview of the problem of dealing with time series possessing a deterministic seasonal component. This text then provides a description of time series in terms of models known as the time-domain approach. Other chapters consider an alternative approach, known as spectral or frequency-domain analysis, that often provides useful insights into the properties of a series. This book discusses as well a unified approach to the fitting of linear models to a given time series. The final chapter deals with the main advantage of having a Gaussian series wherein the optimal single series, least-squares forecast will be a linear forecast. This book is a valuable resource for economists.
Author: Matthew L. Higgins
Author: Matthew L. Higgins
Author: Graham Elliott
Author: Graham Elliott
Author: G. Elliott
Author: Peter Fuleky
Author: G.I. Treyz
Author: Kajal Lahiri
Author: C. W. J. Granger
Author: Michael P. Clements
Author: C. W. J. Granger