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Books > Business & Economics > Economics > Economic forecasting
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.
With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. A companion website with downloadable datasets, exercises and lecture slides rounds out the full learning package.
This volume uses state of the art models from the frontier of macroeconomics to answer key questions about how the economy functions and how policy should be conducted. The contributions cover a wide range of issues in macroeconomics and macroeconomic policy. They combine high level mathematics with economic analysis, and highlight the need to update our mathematical toolbox in order to understand the increased complexity of the macroeconomic environment. The volume represents hard evidence of high research intensity in many fields of macroeconomics, and warns against interpreting the scope of macroeconomics too narrowly. The mainstream business cycle analysis, based on dynamic stochastic general equilibrium (DSGE) modelling of a particular type, has been criticised for its inability to predict or resolve the recent financial crisis. However, macroeconomic research on financial, information, and learning imperfections had not yet made their way into many of the pre-crisis DSGE models because practical econometric versions of those models were mainly designed to fit data periods that did not include financial crises. A major response to the limitations of those older DSGE models is an active research program to bring big financial shocks and various kinds of financial, learning, and labour market frictions into a new generation of DSGE models for guiding policy. The contributors to this book utilise models and modelling assumptions that go beyond particular modelling conventions. By using alternative yet plausible assumptions, they seek to enrich our knowledge and ability to explain macroeconomic phenomena. They contribute to expanding the frontier of macroeconomic knowledge in ways that will prove useful for macroeconomic policy.
A new framework for the digital society that merges the science of degrowth with a global analysis of the high-tech economy. The world is racing toward an irreversible ecological catastrophe. Environmental science makes clear that humans must reduce total material resource use, requiring a radical redistribution of wealth within and between countries. Yet little attention has been paid to how the digital economy fits into this equation. Michael Kwet is a Postdoctoral researcher of the Centre for Social Change at the University of Johannesburg and a leading expert on digital colonialism, and here presents a new framework for the digital society. Merging the science of degrowth with a global analysis of the high-tech economy, he argues that digital capitalism and colonialism must be abolished quickly. In Digital Degrowth, Kwet maps out a path to a people's tech future. He calls for direct action against Silicon Valley, US imperialism and power elites everywhere in order to realise a radically egalitarian digital society that fosters equality in harmony with nature.
Why the global recession is in danger of becoming another Great Depression, and how we can stop it When the United States stopped backing dollars with gold in 1968, the nature of money changed. All previous constraints on money and credit creation were removed and a new economic paradigm took shape. Economic growth ceased to be driven by capital accumulation and investment as it had been since before the Industrial Revolution. Instead, credit creation and consumption began to drive the economic dynamic. In "The New Depression: The Breakdown of the Paper Money Economy," Richard Duncan introduces an analytical framework, The Quantity Theory of Credit, that explains all aspects of the calamity now unfolding: its causes, the rationale for the government's policy response to the crisis, what is likely to happen next, and how those developments will affect asset prices and investment portfolios. In his previous book, "The Dollar Crisis" (2003), Duncan explained why a severe global economic crisis was inevitable given the flaws in the post-Bretton Woods international monetary system, and now he's back to explain what's next. The economic system that emerged following the abandonment of sound money requires credit growth to survive. Yet the private sector can bear no additional debt and the government's creditworthiness is deteriorating rapidly. Should total credit begin to contract significantly, this New Depression will become a New Great Depression, with disastrous economic and geopolitical consequences. That outcome is not inevitable, and this book describes what must be done to prevent it.Presents a fascinating look inside the financial crisis and how the New Depression is poised to become a New Great DepressionIntroduces a new theoretical construct, The Quantity Theory of Credit, that is the key to understanding not only the developments that led to the crisis, but also to understanding how events will play out in the years aheadOffers unique insights from the man who predicted the global economic breakdown Alarming but essential reading, "The New Depression" explains why the global economy is teetering on the brink of falling into a deep and protracted depression, and how we can restore stability.
Bringing together a collection of previously published work, this book provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making. Analytical relations between dynamic econometric structural models and empirical time series MVARMA, VAR, transfer function, and univariate ARIMA models are established with important application for model-checking and model construction. 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 also presented and applied. Finally, attention is focused on the effects of disaggregation on forecasting precision and the Marshallian Macroeconomic Model that features demand, supply and entry equations for major sectors of economies is analysed and described. This volume will prove invaluable to professionals, academics and students alike.
The degree to which markets incorporate information is one of the most important questions facing economists today. This book provides a fascinating study of the existence and extent of information efficiency in financial markets, with a special focus on betting markets. Betting markets are selected for study because they incorporate features highly appropriate to a study of information efficiency, in particular the fact that each bet has a well-defined end point at which its value becomes certain. Using international examples, this book reviews and analyses the issue of information efficiency in both financial and betting markets. Part I is an extensive survey of the existing literature, while Part II presents a range of readings by leading academics. Insights gained from the book will interest students of financial economics, financial market analysts, mathematicians and statisticians, and all those with a special interest in finance or gambling.
A provocative look at how and why Britain has fallen into
decline from being a superpower in 1914 to being a third world
economy in 2014 by two of Britain's leading Economists
journalists
"It's the economy, stupid," as Democratic strategist James Carville
would say. After many years of study, Ray C. Fair has found that
the state of the economy has a dominant influence on national
elections. Just in time for the 2012 presidential election, this
new edition of his classic text, "Predicting Presidential Elections
and Other Things," provides us with a look into the likely future
of our nation's political landscape--but Fair doesn't stop there.
Conventional wisdom once told us big companies are unbeatable... and eat smaller competitors for breakfast. Not anymore. These days It's Not the Big that Eat the Small... It's the FAST that Eat the Slow! Jason Jennings and Laurence Haughton discovered what separates today's icons of speed from everybody else. They asked questions like:
And studied the world's fastest companies like:
The results are in this sensational book... a national bestseller, translated all over the globe and universally praised. Would you like to make speed a competitive tool in your business? Here's your roadmap!
The guru of high technology and a man whose "slightest utterance can move stocks" (The Wall Street Journal) presents a clear, cogent vision of the future of telecommunications; what it will mean in our everyday lives; and how savvy investors can get on the bandwagon today. With his books (including the groundbreaking Microcosm), top-selling newsletter, testimony before Congress, and annual Telecosm conferences, George Gilder has become the premier prophet of bandwidth and connectivity. In this revised version of Telecosm, Gilder takes technology buffs and investors on a mind-bending tour inside the worldwide webs of glass and light, explaining how fiber optics and wireless breakthroughs are pushing new technologies and new companies to the fore.
This book, and its companion volume in the Econometric Society Monographs series (ESM number 32), 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 causality, integration and cointegration, and long memory. 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.
This book, and its companion volume, 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 causality, integration and cointegration, and long memory. 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.
Volume II provides an in-depth analysis of important specific issues, detailed discussion of the independence of the Bank of Israel, and an econometric study of the central banks policies. This volume also includes a historical account of the liberalization of Israel's foreign-exchange market and various issues related to the banking system, such as concentration, competition, and especially banking supervision. In one of the articles in this volume, based on a series of interviews, the top officials of the Bank of Israel present their view on the Banks policies in the various periods.
"Economic Forecasting" deals with macroeconomic forecasts from a
global point of view. The focus is first on a large 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. In addition, the book addresses the main issues
surrounding the use of forecasts (accuracy, communication
challenges) and their policy implications. A synthetic overview of
economic data and forecasting institutions is also provided.
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.
The material contained in this book originated in interrogations about modern practice in time series analysis. * Why do we use models optimized with respect to one-step ahead foreca- ing performances for applications involving multi-step ahead forecasts? * Why do we infer 'long-term' properties (unit-roots) of an unknown process from statistics essentially based on short-term one-step ahead forecasting performances of particular time series models? * Are we able to detect turning-points of trend components earlier than with traditional signal extraction procedures? The link between 'signal extraction' and the first two questions above is not immediate at first sight. Signal extraction problems are often solved by su- ably designed symmetric filters. Towards the boundaries (t = 1 or t = N) of a time series a particular symmetric filter must be approximated by asymm- ric filters. The time series literature proposes an intuitively straightforward solution for solving this problem: * Stretch the observed time series by forecasts generated by a model. * Apply the symmetric filter to the extended time series. This approach is called 'model-based'. Obviously, the forecast-horizon grows with the length of the symmetric filter. Model-identification and estimation of unknown parameters are then related to the above first two questions. One may further ask, if this approximation problem and the way it is solved by model-based approaches are important topics for practical purposes? Consider some 'prominent' estimation problems: * The determination of the seasonally adjusted actual unemployment rate.
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 is a powerful new approach to marketing that will multiply the impact of every dollar invested. Comprehensive research by Doug Hall details marketing initiatives that will deliver sustained success. What makes this book's teaching more reliable and reproducible than others is its foundation on hard data reflecting customer, industrial, and business-to-business marketing, not "guru opinions." After reading "Jump Start Your Marketing Brain, " readers will know how to more effectively and efficiently market and sell their brand, their services, their products, and even themselves!
China is historically famous for its high demographic dividend and its huge working population, and this has driven tremendous economic growth over the past few decades. However, that population has begun to shrink and the Lewis turning point whereby surplus rural population has been absorbed into manufacturing is also approaching, leading to great change in the Chinese labor market. Will this negatively affect China's economic growth? Can the "Middle-Income Trap" be avoided? What reforms should be made on the labor supply side? This book tackles these key questions. This book is a collection of 14 papers presenting the author's observations, analysis, and opinions of China's long-term economic development from the demographic perspective, while analysing real economic problems from the past and including policy recommendations. It provides a critical reference for scholars and students interested in Chinese economic development and demographic perspectives on economic development.
This book concentrates on the five biggest recessions in the twentieth century. It focuses on the UK, but makes numerous comparisons to recessions in other countries. Two major recessions are identified in the interwar period; three more in the years 1973-1995. The main conclusion reached is that major recessions reflect abrupt fallings off in demand not supply, and can be explained by identifiable demand shocks. The concluding chapter offers advice on how to avoid future severe recessions: a combination of prudent policy-making beforehand and special measures in the downturn and recovery.
Summarizes the latest developments and techniques in the field and highlights areas such as sample surveys, nonparametric analysis, hypothesis testing, time series analysis, Bayesian inference, and distribution theory for current applications in statistics, economics, medicine, biology, engineering, sociology, psychology, and information technology. Containing more than 800 contemporary references to facilitate further study, the Handbook of Applied Econometrics and Statistical Inference is an in-depth guide for applied statisticians, econometricians, economists, sociologists, psychologists, data analysts, biometricians, medical researchers, and upper-level undergraduate and graduate-level students in these disciplines.
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