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Survey Of Mathematical Models For Economic Forecasting
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Book Synopsis Survey of Mathematical Models for Economic Forecasting by : A. Tretʹi︠a︡kova
Download or read book Survey of Mathematical Models for Economic Forecasting written by A. Tretʹi︠a︡kova and published by . This book was released on 1971 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Dynamic Use Of Survey Data And High Frequency Model Forecasting by : Yoshihisa Inada
Download or read book A Dynamic Use Of Survey Data And High Frequency Model Forecasting written by Yoshihisa Inada and published by World Scientific. This book was released on 2018-03-08 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume investigates the accuracy and dynamic performance of a high-frequency forecast model for the Japanese and United States economies based on the Current Quarter Model (CQM) or High Frequency Model (HFM) developed by the late Professor Emeritus Lawrence R. Klein. It also presents a survey of recent developments in high-frequency forecasts and gives an example application of the CQM model in forecasting Gross Regional Products (GRPs).
Author :Organisation for Economic Co-operation and Development. Directorate for Scientific Affairs Publisher : ISBN 13 : Total Pages : pages Book Rating :4.:/5 (222 download)
Book Synopsis Survey of Mathematical Models of the Educational System by : Organisation for Economic Co-operation and Development. Directorate for Scientific Affairs
Download or read book Survey of Mathematical Models of the Educational System written by Organisation for Economic Co-operation and Development. Directorate for Scientific Affairs and published by . This book was released on 1970 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mathematical Models for the Education Sector : Supporting Material to the Survey : Annexes by : Organisation for Economic Co-operation and Development
Download or read book Mathematical Models for the Education Sector : Supporting Material to the Survey : Annexes written by Organisation for Economic Co-operation and Development and published by . This book was released on 1974 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Econometric Forecasting and High-frequency Data Analysis by : Roberto S. Mariano
Download or read book Econometric Forecasting and High-frequency Data Analysis written by Roberto S. Mariano and published by World Scientific. This book was released on 2008 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important book consists of surveys of high-frequency financial data analysis and econometric forecasting, written by pioneers in these areas including Nobel laureate Lawrence Klein. Some of the chapters were presented as tutorials to an audience in the Econometric Forecasting and High-Frequency Data Analysis Workshop at the Institute for Mathematical Science, National University of Singapore in May 2006. They will be of interest to researchers working in macroeconometrics as well as financial econometrics. Moreover, readers will find these chapters useful as a guide to the literature as well as suggestions for future research.
Book Synopsis Introduction To Mathematical Models In Market And Opinion Research by : Theodor Harder
Download or read book Introduction To Mathematical Models In Market And Opinion Research written by Theodor Harder and published by CRC Press. This book was released on 1969 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mathematical Methods and Models in Economic Planning, Management and Budgeting by : Galimkair Mutanov
Download or read book Mathematical Methods and Models in Economic Planning, Management and Budgeting written by Galimkair Mutanov and published by Springer. This book was released on 2016-09-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness. Application areas include: management of development and operation budgets, assessment and management of economic systems using an energy entropy approach, equation of exchange rates and forecasting foreign exchange operations, evaluation of innovative projects, monitoring of governmental programs, risk management of investment processes, decisions on the allocation of resources, and identification of competitive industrial clusters. The proposed methods and models were tested on the example of Kazakhstan’s economy, but the generated solutions will be useful for applications at other levels and in other countries. Regarding your book "Mathematical Methods and Models in Economics", I am impressed because now it is time when "econometrics" is becoming more appreciated by economists and by schools that are the hosts or employers of modern economists. ... Your presented results really impressed me. John F. Nash, Jr., Princeton University, Nobel Memorial Prize in Economic Sciences The book is within my scope of interest because of its novelty and practicality. First, there is a need for realistic modeling of complex systems, both natural and artificial that conclude computer and economic systems. There has been an ongoing effort in developing models dealing with complexity and incomplete knowledge. Consequently, it is clear to recognize the contribution of Mutanov to encapsulate economic modeling with emphasis on budgeting and innovation. Secondly, the method proposed by Mutanov has been verified by applying to the case of the Republic of Kazakhstan, with her vibrant emerging economy. Thirdly, Chapter 5 of the book is of particular interest for the computer technology community because it deals with innovation. In summary, the book of Mutanov should become one of the outstanding recognized pragmatic guides for dealing with innovative systems. Andrzej Rucinski, University of New Hampshire This book is unique in its theoretical findings and practical applicability. The book is an illuminating study based on an applied mathematical model which uses methods such as linear programming and input-output analysis. Moreover, this work demonstrates the author’s great insight and academic brilliance in the fields of finance, technological innovations and marketing vis-à-vis the market economy. From both theoretical and practical standpoint, this work is indeed a great achievement. Yeon Cheon Oh, President of Seoul National University
Book Synopsis Forecasting in Business and Economics by : C. W. J. Granger
Download or read book Forecasting in Business and Economics written by C. W. J. Granger and published by Academic Press. This book was released on 2014-05-10 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Applied Economic Forecasting using Time Series Methods by : Eric Ghysels
Download or read book Applied Economic Forecasting using Time Series Methods written by Eric Ghysels and published by Oxford University Press. This book was released on 2018-03-23 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic forecasting is a key ingredient of decision making both in the public and in the private sector. Because economic outcomes are the result of a vast, complex, dynamic and stochastic system, forecasting is very difficult and forecast errors are unavoidable. Because forecast precision and reliability can be enhanced by the use of proper econometric models and methods, this innovative book provides an overview of both theory and applications. Undergraduate and graduate students learning basic and advanced forecasting techniques will be able to build from strong foundations, and researchers in public and private institutions will have access to the most recent tools and insights. Readers will gain from the frequent examples that enhance understanding of how to apply techniques, first by using stylized settings and then by real data applications--focusing on macroeconomic and financial topics. This is first and foremost a book aimed at applying time series methods to solve real-world forecasting problems. Applied Economic Forecasting using Time Series Methods starts with a brief review of basic regression analysis with a focus on specific regression topics relevant for forecasting, such as model specification errors, dynamic models and their predictive properties as well as forecast evaluation and combination. Several chapters cover univariate time series models, vector autoregressive models, cointegration and error correction models, and Bayesian methods for estimating vector autoregressive models. A collection of special topics chapters study Threshold and Smooth Transition Autoregressive (TAR and STAR) models, Markov switching regime models, state space models and the Kalman filter, mixed frequency data models, nowcasting, forecasting using large datasets and, finally, volatility models. There are plenty of practical applications in the book and both EViews and R code are available online at authors' website.
Book Synopsis Econometric Model Performance by : Lawrence R. Klein
Download or read book Econometric Model Performance written by Lawrence R. Klein and published by University of Pennsylvania Press. This book was released on 2016-11-11 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models of the American economy exist in government, research institutes, universities, and private corporations. Given the proliferation, it is wise to take stock because these models come from diverse sources and describe different conditions from alternative points of view. They could be saying different things about the economy. The high-level comparative studies in this volume, gathered from several issues of the International Economic Review, with a substantive introduction and the addition of more comparative material, evaluate the performance of eleven models of the American economy: the Wharton Mark Ill Model; Brookings Model; Hickman-Coen Annual Model; Liu-Hwa Monthly Model; Data Resources, Inc. (DRI) Model; Federal Reserve Bank of St. Louis Model; Michigan Quarterly Econometric (MOEM) Model; Wharton Annual and Industry Model; Anticipation Version of the Wharton Mark Ill Model/Fair Model; U.S. Department of Commerce (BEA) Model. Each of the proprietors or builders of these models describes his own system in his own words. These studies come closer than ever before to standardizing model operations for testing purposes. Some of the models are monthly, while others are annual. but the quarterly unit of time is the most frequent. Some are demand oriented, others are supply oriented, and focus on the input-output sectors of the economy. Some use only observed. objective data; others use subjective. anticipatory data. Both large and small models are included. In spite of the diversity, the contributors have cooperated to trace the differences between their models to root causes and to report jointly the results of their research. There are also some general papers that look at model performance from outside the CEME group.
Book Synopsis Mathematical Models of the Economy by : Richard Stone
Download or read book Mathematical Models of the Economy written by Richard Stone and published by London : Chapman & Hall. This book was released on 1970 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compilatton of essays on mathematical analysis of the economy - includes economic model-building, input output analysis, growth models, national accounting, statistical analysis of population systems, econometrics of consumer behaviour, etc. Bibliographys and statistical tables.
Book Synopsis Mathematical Modeling in Economics, Ecology and the Environment by : N.V. Hritonenko
Download or read book Mathematical Modeling in Economics, Ecology and the Environment written by N.V. Hritonenko and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problems of interrelation between human economics and natural environment include scientific, technical, economic, demographic, social, political and other aspects that are studied by scientists of many specialities. One of the important aspects in scientific study of environmental and ecological problems is the development of mathematical and computer tools for rational management of economics and environment. This book introduces a wide range of mathematical models in economics, ecology and environmental sciences to a general mathematical audience with no in-depth experience in this specific area. Areas covered are: controlled economic growth and technological development, world dynamics, environmental impact, resource extraction, air and water pollution propagation, ecological population dynamics and exploitation. A variety of known models are considered, from classical ones (Cobb Douglass production function, Leontief input-output analysis, Solow models of economic dynamics, Verhulst-Pearl and Lotka-Volterra models of population dynamics, and others) to the models of world dynamics and the models of water contamination propagation used after Chemobyl nuclear catastrophe. Special attention is given to modelling of hierarchical regional economic-ecological interaction and technological change in the context of environmental impact. Xlll XIV Construction of Mathematical Models ...
Book Synopsis Analysis of Economic Time Series by : Marc Nerlove
Download or read book Analysis of Economic Time Series written by Marc Nerlove and published by . This book was released on 1979 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this edition which has been reprinted with corrections, Nerlove and his co-authors illustrate techniques of spectral analysis and methods based on parametric models in the analysis of economic time series. The book provides a means and a method for incorporating economic intuition and theory in the formulation of time-series models useful in forecasting, in the formulation and estimation of distributed lag models, and in other applications, such as seasonal adjustment. Analysis of Economic Time Series is a useful primary text for graduate students and an attractive reference for researchers. Key Features * Presents a self-contained treatment of Fourier Analysis and complex variables, as well as Spectral Analysis of time series * Includes a detailed treatment of unobserved-components (UC) models and their time-series properties by means of covariance-generating transforms * Provides the formulation and maximum-likelihood estimation of ARMA and UC models in both time and frequency domains Integrates several topics in time-series analysis: * The formulation and estimation of distributed-lag models of dynamic economic behavior * The application of the techniques of spectral analysis in the study of behavior of economic time series * Unobserved-components models for economic time series and the closely related problem of seasonal adjustment * The complimentarities between time-domain and frequency-domain approaches to the analysis of economic time series * Historical contributions extending from the time of Charles Babbage and the Edinburgh Review to the present * Treats spectral analysis and Box-Jenkins models for an intuitive but rigorous point of view * Shows how these two types of analysis may be synthesized so that they complement one another * Describes a new type of model, based on a superposition of Box-Jenkins models, that captures the essential idea of the unobserved-components models long used in the analysis of economic time series * Applies multiple time-series techniques to the estimation of a novel dynamic model of the US cattle industry
Book Synopsis Forecasting Models for National Economic Planning by : Aaart R. Heesterman
Download or read book Forecasting Models for National Economic Planning written by Aaart R. Heesterman and published by Springer. This book was released on 2011-11-06 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about the specification of linear econometric models, and for this reason some important related fields have been deliberately omitted. I did not want to discuss the problems of parameter-estimation, at least not in any detail, as there are other books on these problems written by specialized statisticians. This book is about the models them selves and macro-economic models in particular. A second related sub ject is the policy decision that can be made with the help of a model. While I did write a chapter on policy decisions, I limited myself to some extent because of my views on planning as such. The logical approach to this problem is in terms of mathematical programming, but our models and our ideas about the policies we want are too crude for its effective utilisation. A realistic formulation of the problem should involve non linearities in an essential way, the models I consider (and most existing models) are linear. At the present state of econometrics, I do not really believe in such a thing as the 'optimal' plan. The possible result of bad planning or no planning at all, for instance massive unemployment, sudden financial crises, unused capital equipment, or the production of unsalable goods is agreed to be undesirable. Programming methods may of course be needed, if only for having a systematic algorithm to find a solution that avoids this kind of 'obvious' non-optimality. However, the main emphasis is on forecasting models.
Book Synopsis Economic-Mathematical Methods and Models under Uncertainty by : A. G. Aliyev
Download or read book Economic-Mathematical Methods and Models under Uncertainty written by A. G. Aliyev and published by CRC Press. This book was released on 2013-12-07 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book on mathematical programming, the postulate spacial-time certainty of economic process at uncertainty conditions in finite-dimensional vector space and the principle piecewise-linear homogeneity of economic process at uncertainty conditions in finite-dimensional vector space are first suggested. A special theory on constructing piecewise-linear economic-mathematical models was developed, and a criterion of multivariate prediction of economic process and their control at uncertainty conditions in a finite-dimensional vector space was suggested. A packet of numerical programs for computer simulation in constructing and multivariate prediction of economic state with the help of n-element piecewise-linear economic-mathematical models with regard to the uncertainty factors effect in m-dimensional vector space is also suggested. This book is intended for students of economic and administrative specialties as well as for research associates in the sphere of economic-mathematical methods, management, and banking.
Book Synopsis Econometric Models and Economic Forecasts by : Robert S. Pindyck
Download or read book Econometric Models and Economic Forecasts written by Robert S. Pindyck and published by . This book was released on 1998 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated edition of the text has been restructured into four parts: multiple regression model; single-equation regression models; revised exposition and a small macroeconomic model; and a revised treatment of time-series analysis.
Book Synopsis Mathematical Methods and Models for Economists by : Angel de la Fuente
Download or read book Mathematical Methods and Models for Economists written by Angel de la Fuente and published by Cambridge University Press. This book was released on 2000-01-28 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook for a first-year PhD course in mathematics for economists and a reference for graduate students in economics.