A Washington Post Bestseller Winner of the 2017 Axiom Business Book Award in Business Technology Amy Webb is a noted futurist who combines curiosity, skepticism, colorful storytelling, and deeply reported, real-world analysis in this essential book for understanding the future. The Signals Are Talking reveals a systemic way of evaluating new ideas bubbling up on the horizon-distinguishing what is a real trend from the merely trendy. This book helps us hear which signals are talking sense, and which are simply nonsense, so that we might know today what developments-especially those seemingly random ideas at the fringe as they converge and begin to move toward the mainstream-that have long-term consequence for tomorrow. With the methodology developed in The Signals Are Talking, we learn how to think like a futurist and answer vitally important questions: How will a technology-like artificial intelligence, machine learning, self-driving cars, biohacking, bots, and the Internet of Things-affect us personally? How will it impact our businesses and workplaces? How will it eventually change the way we live, work, play, and think-and how should we prepare for it now? Most importantly, Webb persuasively shows that the future isn't something that happens to us passively. Instead, she allows us to see ahead so that we may forecast what's to come-challenging us to create our own preferred futures.

Discussing economic theory and English economic history from the eighteenth century until the late 1970s this volume discusses among other things fixed capital and problems with the definition of the premodern economy as well as providing a chronology of 18th century business cycles.

The information age has brought greater interconnection across the world, and transformed the global marketplace. To remain competitive, business firms look for ways of improving their ability to gauge business and economic conditions around the world. At the same time, advances in technology have revolutionized the way we process information and prepare business and economic forecasts. Secondary data searches, data collection, data entry and analysis, graphical visualization, and reporting can all be accomplished with the help of computers that provide access to information not previously available. Forecasters should therefore learn the techniques and models involved, as applied in this new era. Business Forecasting: A Practical Approach is intended as an applied text for students and practitioners of forecasting who have some background in economics and statistics. The presentation is conceptual in nature with emphasis on rationale, application, and interpretation of the most commonly used forecasting techniques. The goal of this book is to provide students and managers with an overview of a broad range of techniques and an understanding of the strengths and weaknesses of each approach. It is based on the assumption that forecasting skills are best developed and retained by starting with simple models, followed by repeated exposure to real world examples. The book makes extensive use of international examples to amplify concepts.

First published in 1972, this book provides an important critical review on the theory of futures trading. B. A. Goss looks at the work and ideas of Keynes and Hicks on futures, and considers how these have also been developed by Kaldor. He discusses the evolution of the concept of hedging in the context of buying forward into the markets, and considers theories of market and individual equilibrium. Goss draws on the work of other economists in this field, including Stein, Telser, Peston and L. L. Johnson, in order to illustrate the development of theory in futures trading. The book includes fifteen figures that illustrate diagrammatically the concepts involved, and the concluding section contains a series of problems for examination by the student.

This Handbook provides up-to-date coverage of both new developments and well-established fields in the sphere of economic forecasting. The chapters are written by world experts in their respective fields, and provide authoritative yet accessible accounts of the key concepts, subject matter and techniques in a number of diverse but related areas. It covers the ways in which the availability of ever more plentiful data and computational power have been used in forecasting, either in terms of the frequency of observations, the number of variables, or the use of multiple data vintages. Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained; the volume provides explanations and critiques of these developments. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models, as well as models for handling data observed at mixed frequencies, high-frequency data, multiple data vintages, and methods for forecasting when there are structural breaks, and how breaks might be forecast. Also covered are areas which are less commonly associated with economic forecasting, such as climate change, health economics, long-horizon growth forecasting, and political elections. Econometric forecasting has important contributions to make in these areas, as well as their developments informing the mainstream. In the early 21st century, climate change and the forecasting of health expenditures and population are topics of pressing importance.

Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range of theories as well as empirical methods: business cycle analysis, time series methods, macroeconomic models, medium and long-run projections, fiscal and financial forecasts, and sectoral forecasting.

Whether it's an unforeseen financial crash, a shock election result or a washout summer that threatens to ruin a holiday in the sun, forecasts are part and parcel of our everyday lives. We rely wholeheartedly on them, and become outraged when things don't go exactly to plan. But should we really put so much trust in predictions? Perhaps gut instincts can trump years of methodically compiled expert knowledge? And when exactly is a forecast not a forecast? Forewarned will answer all of these intriguing questions, and many more. Packed with fun anecdotes and startling facts, Forewarned is a myth-busting guide to prediction, based on the very latest scientific research. It lays out the many ways forecasting can help us make better decisions in an unpredictable modern world, and reveals when forecasts can be a reliable guide to the uncertainties of the future - and when they are best ignored.

This lively and provocative look at the tension between economics and politics examines why so many mistakes in economic policy-making are made for political reasons and ignore the economic truths. Using short-term economic gains to ensure electoral success, argues Lorenzo Forni, inevitably spells macroeconomic disaster. Using the state budget, trade policy and monetary policy to prop up labour markets and the wider economy in order to boost voter approval ratings, while ignoring budget constraints can only result in longer recessions and economic downturns. Which then can incur the painful austerity measures needed to bring the economy back into balance. Forni looks at many unsustainable economic policies that have been implemented in parts of the world when the economic realities - there is no magic money tree! - would recommend a different and more prudent economic course.

To what extent should anybody who has to make model forecasts generated from detailed data analysis adjust their forecasts based on their own intuition? In this book, Philip Hans Franses, one of Europe's leading econometricians, presents the notion that many publicly available forecasts have experienced an 'expert's touch', and questions whether this type of intervention is useful and if a lighter adjustment would be more beneficial. Covering an extensive research area, this accessible book brings together current theoretical insights and new empirical results to examine expert adjustment from an econometric perspective. The author's analysis is based on a range of real forecasts and the datasets upon which the forecasters relied. The various motivations behind experts' modifications are considered, and guidelines for creating more useful and reliable adjusted forecasts are suggested. This book will appeal to academics and practitioners with an interest in forecasting methodology.

A practical guide to understanding economic forecasts In Inside the Crystal Ball: How to Make and Use Forecasts, UBS Chief U.S. Economist Maury Harris helps readers improve their own forecasting abilities by examining the elements and processes that characterize successful and failed forecasts. The book: *Provides insights from Maury Harris, named among Bloomberg's 50 Most Influential People in Global Finance. *Demonstrates "best practices" in the assembly and evaluation of forecasts. Harris walks readers through the real-life steps he and other successful forecasters take in preparing their projections. These valuable procedures can help forecast users evaluate forecasts and forecasters as inputs for making their own specific business and investment decisions. *Emphasizes the critical role of judgment in improving projections derived from purely statistical methodologies. Harris explores the prerequisites for sound forecasting judgment a good sense of history and an understanding of contemporary theoretical frameworks in readable and illuminating detail. *Addresses everyday forecasting issues, including the credibility of government statistics and analyses, fickle consumers, and volatile business spirits. Harris also offers procedural guidelines for special circumstances, such as natural disasters, terrorist threats, gyrating oil and stock prices, and international economic crises. *Evaluates major contemporary forecasting issues including the now commonplace hypothesis of sustained economic sluggishness, possible inflation outcomes in an environment of falling unemployment, and projecting interest rates when central banks implement unprecedented low interest rate and quantitative easing (QE) policies. *Brings to life Harris's own experiences and those of other leading economists in his almost four-decade career as a professional economist and forecaster. Dr. Harris presents his personal recipes for long-term credibility and commercial success to anyone offering advice about the future.

Originally published in 1972 this book examines technological forecasting and assesses its merits and limitations and possible uses for society, government, industry and the military. Although technological forecasting was in its infancy when this book was originally published, it has now become part of mainstream social and economic planning.

This book assembles key texts in the theory and applications of the Structural Econometric Time Series Analysis (SEMTSA) approach. The theory and applications of these procedures to a variety of econometric modeling and forecasting problems as well as Bayesian and non-Bayesian testing, shrinkage estimation and forecasting procedures are presented and applied. Finally, attention is focused on the effects of disaggregation on forecasting precision.

Applied Econometrics: A Practical Guide is an extremely user-friendly and application-focused book on econometrics. Unlike many econometrics textbooks which are heavily theoretical on abstractions, this book is perfect for beginners and promises simplicity and practicality to the understanding of econometric models. Written in an easy-to-read manner, the book begins with hypothesis testing and moves forth to simple and multiple regression models. It also includes advanced topics:

Endogeneity and Two-stage Least Squares

Simultaneous Equations Models

Panel Data Models

Qualitative and Limited Dependent Variable Models

Vector Autoregressive (VAR) Models

Autocorrelation and ARCH/GARCH Models

Unit Root and Cointegration

The book also illustrates the use of computer software (EViews, SAS and R) for economic estimating and modeling. Its practical applications make the book an instrumental, go-to guide for solid foundation in the fundamentals of econometrics. In addition, this book includes excerpts from relevant articles published in top-tier academic journals. This integration of published articles helps the readers to understand how econometric models are applied to real-world use cases.

Table of Contents

1. Review of Estimation and Hypothesis Tests

2. Simple Linear Regression Models

3. Multiple Linear Regression Models

4. Dummy Explanatory Variables

5. More on Multiple Regression Analysis

6. Endogeneity and Two-Stage Least Squares Estimation

7. Models for Panel Data

8. Simultaneous Equations Models

9. Vector Autoregressive (VAR) Models

10. Autocorrelation and ARCH/GARCH

11. Unit Root, Cointegration and Error Correction Model

12. Qualitative and Limited Dependent Variable Models

In 2050 there will be 9.3 billion people alive - compared with 7 billion today - and the number will still be rising. The population aged over sixty-five will have more than doubled, to more than 16 per cent; China's GDP will be 80 per cent more than America's; and the number of cars on India's roads will have increased by 3,880 per cent. And, in 2050 it should be clear whether we are alone in the universe. What other megachanges can we expect - and what will their impact be? This comprehensive and compelling book will cover the most significant trends that are shaping the coming decades, with each of its twenty chapters elegantly and authoritatively outlined by Economist contributors, and rich in supporting facts and figures. It will chart the rise and fall of fertility rates across continents; how energy resources will change in light of new technology, and how different nations will deal with major developments in science and warfare. Megachange is essential reading for anyone who wants to know what the next four decades hold in store.

This book, and its companion volume in the Econometric Society Monographs series (ESM number 33), present a collection of papers by Clive W. J. Granger. His contributions to economics and econometrics, many of them seminal, span more than four decades and touch on all aspects of time series analysis. The papers assembled in this volume explore topics in spectral analysis, seasonality, nonlinearity, methodology, and forecasting. Those in the companion volume investigate themes in causality, integration and cointegration, and long memory. The two volumes contain the original articles as well as an introduction written by the editors.

In these three essays, Professor Granger explains the process of constructing and evaluating an empirical model. Drawing on a wide range of cases and vignettes from economics, finance, politics and environment economics, as well as from art, literature, and the entertainment industry, Professor Granger combines rigor with intuition to provide a unique and entertaining insight into one of the most important subjects in modern economics. Chapter 1 deals with Specification. Chapter 2 considers Evaluation, and argues that insufficent evaluation is undertaken by economists, and that models should be evaluated in terms of the quality of their output. In Chapter 3, the question of how to evaluate forecasts is considered at several levels of increasing depth.

In these three essays, Professor Granger explains the process of constructing and evaluating an empirical model. Drawing on a wide range of cases and vignettes from economics, finance, politics and environment economics, as well as from art, literature, and the entertainment industry, Professor Granger combines rigour with intuition to provide a unique and entertaining insight into one of the most important subjects in modern economics. Chapter 1 deals with Specification. The process of specifying a model is discussed using deforestation in the Amazon region of Brazil as an illustration. Chapter 2 considers Evaluation, and argues that insufficent evaluation is undertaken by economists, and that models should be evaluated in terms of the quality of their output. In Chapter 3, the question of how to evaluate forecasts is considered at several levels of increasing depth and using a more sophisticated, technical approach than in the earlier two chapters.

This book provides a formal analysis of the models, procedures, and measures of economic forecasting with a view to improving forecasting practice. David Hendry and Michael Clements base the analyses on assumptions pertinent to the economies to be forecast, viz. a non-constant, evolving economic system, and econometric models whose form and structure are unknown a priori. The authors find that conclusions which can be established formally for constant-parameter stationary processes and correctly-specified models often do not hold when unrealistic assumptions are relaxed. Despite the difficulty of proceeding formally when models are mis-specified in unknown ways for non-stationary processes that are subject to structural breaks, Hendry and Clements show that significant insights can be gleaned. For example, a formal taxonomy of forecasting errors can be developed, the role of causal information clarified, intercept corrections re-established as a method for achieving robustness against forms of structural change, and measures of forecast accuracy re-interpreted.

This Handbook is a comprehensive anthology of up-to-date chapters contributed by current researchers in budget forecasting. Editors Daniel Williams and Thad Calabrese had previously found substantial deficiencies in public budgeting forecast literature with current research failing to address such matters as practices related to forecasting expenditure factors, the consequences of forecast bias, or empirical examination of the effectiveness of many deterministic methods actually used by many governments. This volume comprehensively addresses the state of knowledge about budget forecasting for practitioners, academics, and students and serves as a comprehensive resource for instruction alongside serving as a reference book for those engaged in budget forecasting practice.

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 rationalize 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.

'A well-researched and thought-provoking book' Telegraph '2020: World of War is an informed piece of strategic speculation and analysis. Its official distribution should start at Number 10 Downing Street, with the book being quickly shared within the UK's national security apparatus, and perhaps usefully in Washington and European capitals, too.' Mungo Melvin, The RUSI Journal 'A timely and cogent reminder that history never ends and is about to be made' - Tim Marshall, author of Prisoners of Geography 'This informed and expert book examines credible scenarios of what might happen, could happen and hopefully won't happen' - Lord George Robertson, former NATO Secretary General '2020: World of War should be read by our political leaders, policy makers and horizon scanners alike' - General Sir Richard Shirreff 'This expert consideration of potential conflicts will be invaluable to us all - not just the policy makers and politicians who will have to deal with those issues' - Jonathan Powell, former Chief of Staff, 10 Downing Street 'Knowing the unknown is the first step in making sure what we fear most doesn't happen' - Jonathan Powell, former Chief of Staff, 10 Downing Street With the world already struggling to contain conflicts on several continents, with security and defence expenditure under huge pressure, it's time to think the unthinkable and explore what might happen. As former soldiers now working in defence strategy and conflict resolution, Paul Cornish and Kingsley Donaldson are perfectly qualified to guide us through a credible and utterly convincing 20/20 vision of the year 2020, from cyber security to weapons technology, from geopolitics to undercover operations. This book is of global importance, offering both analysis and creative solutions - essential reading both for decision-makers and everyone who simply wants to understand our future.