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Author : James Grant Hoehn
Publisher :
ISBN 13 :
Total Pages : 56 pages
Book Rating : 4.:/5 (318 download)
Download or read book The Ohio Economy written by James Grant Hoehn and published by . This book was released on 1985 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James G. Hoehn
Publisher :
ISBN 13 :
Total Pages : 37 pages
Book Rating : 4.:/5 (933 download)
Download or read book The Ohio Economy written by James G. Hoehn and published by . This book was released on 1985 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James Grant Hoehn
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)
Download or read book The Ohio Economy, Using Time Series Charateristics in Forecasting written by James Grant Hoehn and published by . This book was released on 1985 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : C. W. J. Granger
Publisher : Academic Press
ISBN 13 : 1483273245
Total Pages : 353 pages
Book Rating : 4.4/5 (832 download)
Download or read book Forecasting Economic Time Series written by C. W. J. Granger and published by Academic Press. This book was released on 2014-05-10 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Philip Hans Franses
Publisher : Cambridge University Press
ISBN 13 : 9780521586412
Total Pages : 300 pages
Book Rating : 4.5/5 (864 download)
Download or read book Time Series Models for Business and Economic Forecasting written by Philip Hans Franses and published by Cambridge University Press. This book was released on 1998-10-15 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to time series models for business and economic forecasting.
Author : Clive William John Granger
Publisher :
ISBN 13 :
Total Pages : 428 pages
Book Rating : 4.F/5 ( download)
Download or read book Forecasting Economic Time Series written by Clive William John Granger and published by . This book was released on 1977 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been updated to reflect developments in time series analysis and forecasting theory and practice, particularly as applied to economics. The second edition pays attention to such problems as how to evaluate and compare forecasts.
Author : Marc Nerlove
Publisher : Academic Press
ISBN 13 : 1483218880
Total Pages : 495 pages
Book Rating : 4.4/5 (832 download)
Download or read book Analysis of Economic Time Series written by Marc Nerlove and published by Academic Press. This book was released on 2014-05-10 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Economic Time Series: A Synthesis integrates several topics in economic time-series analysis, including the formulation and estimation of distributed-lag models of dynamic economic behavior; the application of spectral analysis in the study of the behavior of economic time series; and unobserved-components models for economic time series and the closely related problem of seasonal adjustment. Comprised of 14 chapters, this volume begins with a historical background on the use of unobserved components in the analysis of economic time series, followed by an Introduction to the theory of stationary time series. Subsequent chapters focus on the spectral representation and its estimation; formulation of distributed-lag models; elements of the theory of prediction and extraction; and formulation of unobserved-components models and canonical forms. Seasonal adjustment techniques and multivariate mixed moving-average autoregressive time-series models are also considered. Finally, a time-series model of the U.S. cattle industry is presented. This monograph will be of value to mathematicians, economists, and those interested in economic theory, econometrics, and mathematical economics.
Author : Terence C. Mills
Publisher : Cambridge University Press
ISBN 13 : 9780521405744
Total Pages : 392 pages
Book Rating : 4.4/5 (57 download)
Download or read book Time Series Techniques for Economists written by Terence C. Mills and published by Cambridge University Press. This book was released on 1990 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of time series techniques in economics has become increasingly important, both for forecasting purposes and in the empirical analysis of time series in general. In this book, Terence Mills not only brings together recent research at the frontiers of the subject, but also analyses the areas of most importance to applied economics. It is an up-to-date text which extends the basic techniques of analysis to cover the development of methods that can be used to analyse a wide range of economic problems. The book analyses three basic areas of time series analysis: univariate models, multivariate models, and non-linear models. In each case the basic theory is outlined and then extended to cover recent developments. Particular emphasis is placed on applications of the theory to important areas of applied economics and on the computer software and programs needed to implement the techniques. This book clearly distinguishes itself from its competitors by emphasising the techniques of time series modelling rather than technical aspects such as estimation, and by the breadth of the models considered. It features many detailed real-world examples using a wide range of actual time series. It will be useful to econometricians and specialists in forecasting and finance and accessible to most practitioners in economics and the allied professions.
Author : Philip Hans Franses
Publisher : Oxford University Press
ISBN 13 : 019924202X
Total Pages : 162 pages
Book Rating : 4.1/5 (992 download)
Download or read book Periodic Time Series Models written by Philip Hans Franses and published by Oxford University Press. This book was released on 2004 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this insightful, modern study of the use of periodic models in the description and forecasting of economic data the authors investigate such areas as seasonal time series, periodic time series models, periodic integration and periodic cointegration.
Author : Haim Y. Bleikh
Publisher : CRC Press
ISBN 13 : 1317010183
Total Pages : 149 pages
Book Rating : 4.3/5 (17 download)
Download or read book Time Series Analysis and Adjustment written by Haim Y. Bleikh and published by CRC Press. This book was released on 2016-02-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Time Series Analysis and Adjustment the authors explain how the last four decades have brought dramatic changes in the way researchers analyze economic and financial data on behalf of economic and financial institutions and provide statistics to whomsoever requires them. Such analysis has long involved what is known as econometrics, but time series analysis is a different approach driven more by data than economic theory and focused on modelling. An understanding of time series and the application and understanding of related time series adjustment procedures is essential in areas such as risk management, business cycle analysis, and forecasting. Dealing with economic data involves grappling with things like varying numbers of working and trading days in different months and movable national holidays. Special attention has to be given to such things. However, the main problem in time series analysis is randomness. In real-life, data patterns are usually unclear, and the challenge is to uncover hidden patterns in the data and then to generate accurate forecasts. The case studies in this book demonstrate that time series adjustment methods can be efficaciously applied and utilized, for both analysis and forecasting, but they must be used in the context of reasoned statistical and economic judgment. The authors believe this is the first published study to really deal with this issue of context.
Author :
Publisher :
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.F/5 ( download)
Download or read book Economic Review written by and published by . This book was released on 1991 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Harold Thayer Davis
Publisher :
ISBN 13 :
Total Pages : 648 pages
Book Rating : 4.3/5 (91 download)
Download or read book The Analysis of Economic Time Series written by Harold Thayer Davis and published by . This book was released on 1941 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.0/5 ( download)
Download or read book The Journal of Business Forecasting Methods & Systems written by and published by . This book was released on 1989 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John C. Brocklebank, Ph.D.
Publisher : SAS Institute
ISBN 13 : 1629605441
Total Pages : 384 pages
Book Rating : 4.6/5 (296 download)
Download or read book SAS for Forecasting Time Series, Third Edition written by John C. Brocklebank, Ph.D. and published by SAS Institute. This book was released on 2018-03-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of the newer methods are variations on the basic ARIMA structures. Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods: ARIMA models Vector autoregressive models Exponential smoothing models Unobserved component and state-space models Seasonal adjustment Spectral analysis Focusing on application, this guide teaches a wide range of forecasting techniques by example. The examples provide the statistical underpinnings necessary to put the methods into practice. The following up-to-date SAS applications are covered in this edition: The ARIMA procedure The AUTOREG procedure The VARMAX procedure The ESM procedure The UCM and SSM procedures The X13 procedure The SPECTRA procedure SAS Forecast Studio Each SAS application is presented with explanation of its strengths, weaknesses, and best uses. Even users of automated forecasting systems will benefit from this knowledge of what is done and why. Moreover, the accompanying examples can serve as templates that you easily adjust to fit your specific forecasting needs. This book is part of the SAS Press program.
Author : Mu-Chun Wang
Publisher :
ISBN 13 : 9783868441529
Total Pages : 95 pages
Book Rating : 4.4/5 (415 download)
Download or read book On the Forecasting of Economic Time Series written by Mu-Chun Wang and published by . This book was released on 2009 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Patricia Ethel Beeson
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.:/5 (318 download)
Download or read book Patterns and Determinants of Inefficiency in State Manufacturing written by Patricia Ethel Beeson and published by . This book was released on 1986 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : William R. Bell
Publisher : CRC Press
ISBN 13 : 1439846588
Total Pages : 544 pages
Book Rating : 4.4/5 (398 download)
Download or read book Economic Time Series written by William R. Bell and published by CRC Press. This book was released on 2018-11-14 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time s
