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Download Economic Forecasting for Management: Possibilities and Limitations djvu

by Hans G. Graf

Author: Hans G. Graf
Subcategory: Management & Leadership
Language: English
Publisher: Praeger (August 30, 2002)
Pages: 264 pages
Category: Perfomance
Rating: 4.3
Other formats: lrf lrf mbr doc

This book provides decision makers with a thorough understanding of the possibilities offered by various forecasting methods as well as their limitations.

This book provides decision makers with a thorough understanding of the possibilities offered by various forecasting methods as well as their limitations. If managers rely on a forecast with a long-term perspective to guide them in making short-term decisions, planning deficiencies will likely result. Likewise, if managers use short-term forecasts to inform their long-term strategic vision, failure could easily ensue. Graf provides the tools necessary to sidestep the common pitfall of using the wrong forecasting technique for the wrong purpose.

by Hans G. Graf (Author). This book provides decision makers with a thorough understanding of the possibilities offered by various forecasting methods as well as their limitations.

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oceedings{Graf2002EconomicFF, title {Economic Forecasting for Management: Possibilities and .

oceedings{Graf2002EconomicFF, title {Economic Forecasting for Management: Possibilities and Limitations}, author {Hans Georg Graf}, year {2002} .

Free 2-day shipping Provides decision makers with the tools necessary to evaluate the merits of various types of economic and business forecasting methods.

Provides decision makers with the tools necessary to evaluate the merits of various types of economic and business forecasting methods.

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Advances in Econometrics, Income Distribution and Scientific Methodology. The model is used to forecast macroeconomic trends in output and unemployment, as well as industry-level outcomes, such as the production of steel or the demand for energy. Klein is not well known outside the profession because of the mathematical nature of econometric modeling.

PDF Demand forecasting plays an irreplaceable role in management of. .possibilities and limitations of the methods in the monitored company.

PDF Demand forecasting plays an irreplaceable role in management of logistics processes in manufacturing companies, where the accuracy of arising forecasts has a direct impact on the effectiveness of these processes  . The selected methods include the. naïve method, the average method, the method of time series decomposition, the simple exponential. for forecasting non-periodic time series, and the Holt-Winters trend and seasonal method for forecasting. periodic time series.

The approaches to economic modeling as outlined in this book definitely support the idea that there is no free lunch when it comes to forecasting. These notions have recently been applied to forecasting of housing prices. The book mentions many other applications. It is the context that governs the efficacy of one model over another, and it might be said with fairness that the ability to select the proper model for this context comes with experience. This experience is definitely reflected in the authors that have composed the articles in this book. The discussion on the & factor' and its use in assessing the evidence in favor of one economic model versus another.

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Before future-oriented information can be used as a basis for decision making in economics or business administration, it must be understood on a methodological level. This book provides decision makers with a thorough understanding of the possibilities offered by various forecasting methods as well as their limitations. If managers rely on a forecast with a long-term perspective to guide them in making short-term decisions, planning deficiencies will likely result. Likewise, if managers use short-term forecasts to inform their long-term strategic vision, failure could easily ensue. Graf provides the tools necessary to sidestep the common pitfall of using the wrong forecasting technique for the wrong purpose.

This is not a detailed examination of the mathematical and statistical tools of empirical economic research. Instead, forecasting methods are explained so that they can be understood by the managers who employ them in their decision making. Graf demonstrates that understanding and―in special cases―cooperation between forecast developers and users is crucial to creating an effective forecast that results in informed management decisions. He discusses traditional, long-term, macroeconomic, and global economic forecasting; the scenario technique as a central instrument of long-term forecasting; and short-term economic and market forecasting.