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This book applies the approach of technology assessment to the telephone. The author's analysis forecasts the effect of the telephone on society and compares it with the reality. This book not only examines the social consequences of the telephone, but provides a model for future efficient assessments of new technologies. It documents a largely unknown piece of the history of American technology and anlayzes the requirements for success in technological forecasting.
This book, by Michael J. Brogan, examines government budgeting through the lens of public budget forecast errors. In examining this aspect of the budgetary process, Brogan helps readers understand levels of political and financial risk that policymakers are willing to accept in estimating the likelihood of accurate budget projections. This title is noteworthy in its innovative, accessible approach to examining the budget process through an analysis of forecast errors. Unlike most public budgeting books, which focus primarily on the technical aspects of budgeting or on the politics of the budget process, this book bridges the technical and political aspects of budgeting, thereby providing a more comprehensive analysis of contemporary issues and research in public budgetary matters. In light of the current financial crisis in the United States, this book is crucial for providing readers with a comprehensive review of the limits of budget projections and how political forces shape the forecasting process. Throughout the text, readers are presented with relevant state-specific mini cases. The mini cases highlight some of the difficulties in projecting future revenue and spending patterns, as well as the political conflict that can ensue. The empirical findings, mini cases, and arguments presented throughout this book are intended to empower readers, giving them the expertise needed to better understand how uncertainty in public budget forecasts affects the budget process. Ultimately, this knowledge can help citizens connect the financial management of a state with its governing patterns.
This book applies the approach of technology assessment to the telephone. The author's analysis forecasts the effect of the telephone on society and compares it with the reality. This book not only examines the social consequences of the telephone, but provides a model for future efficient assessments of new technologies. It documents a largely unknown piece of the history of American technology and anlayzes the requirements for success in technological forecasting.
Principles of Forecasting: A Handbook for Researchers and Practitioners summarizes knowledge from experts and from empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. It applies to problems such as those in finance (How much is this company worth?), marketing (Will a new product be successful?), personnel (How can we identify the best job candidates?), and production (What level of inventories should be kept?). The book is edited by Professor J. Scott Armstrong of the Wharton School, University of Pennsylvania. Contributions were written by 40 leading experts in forecasting, and the 30 chapters cover all types of forecasting methods. There are judgmental methods such as Delphi, role-playing, and intentions studies. Quantitative methods include econometric methods, expert systems, and extrapolation. Some methods, such as conjoint analysis, analogies, and rule-based forecasting, integrate quantitative and judgmental procedures. In each area, the authors identify what is known in the form of `if-then principles', and they summarize evidence on these principles. The project, developed over a four-year period, represents the first book to summarize all that is known about forecasting and to present it so that it can be used by researchers and practitioners. To ensure that the principles are correct, the authors reviewed one another's papers. In addition, external reviews were provided by more than 120 experts, some of whom reviewed many of the papers. The book includes the first comprehensive forecasting dictionary.
A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.
Stressing the concrete applications of economic forecasting, Practical Business Forecasting is accessible to a wide-range of readers, requiring only a familiarity with basic statistics. The text focuses on the use of models in forecasting, explaining how to build practical forecasting models that produce optimal results. In a clear and detailed format, the text covers estimating and forecasting with single and multi- equation models, univariate time-series modeling, and determining forecasting accuracy. Additionally, case studies throughout the book illustrate how the models are actually estimated and adjusted to generate accurate forecasts. After reading this text, students and readers should have a clearer idea of the reasoning and choices involved in building models, and a deeper foundation in estimating econometric models used in practical business forecasting.